Itch assessment method, device, electronic bracelet and system

Abstract

The present invention relates to the field of medical technology, and in particular to an itching assessment method, device, electronic bracelet and system. The system includes an electronic bracelet and a ring. The electronic bracelet obtains wrist detection signals, calculates the change value of wrist motion posture according to the posture calibration of the wrist detection signals and the joint posture algorithm, and the ring obtains finger detection signals and sends the finger detection signals to the electronic bracelet. The electronic bracelet calculates the change value of joint angular velocity and joint angle according to the finger detection signals, and judges the scratching range and scratching intensity of the patient through the change values ​​of the two, thereby realizing the evaluation of the patient's itching level, providing more accurate and comprehensive information for patients and doctors, thereby optimizing the treatment plan and improving the quality of life of patients.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and in particular to an itch assessment method, device, electronic bracelet and system. Background Art

[0002] Chronic skin diseases, such as atopic dermatitis and psoriasis, are often characterized by recurrent acute symptoms, among which pruritus is one of the most common and most disturbing symptoms. Pruritus not only causes patients to scratch, further aggravating skin damage, but may also cause psychological problems such as sleep disorders, anxiety, and depression, seriously affecting the quality of life of patients. At present, the management of pruritus mainly relies on the subjective report of patients and the clinical evaluation of doctors. Although the existing clinical evaluation tools (such as the visual analog scale VAS or itch scoring scale) are widely used, they rely on the subjective feedback of patients and lack the support of objective data. These scales are usually used when patients visit the doctor and cannot reflect the dynamic changes of pruritus in real time. Due to the volatility of the symptoms of chronic skin diseases, it is difficult to fully grasp the development trend of the disease only by relying on the evaluation at the time of the visit, which affects the formulation and adjustment of the treatment plan.

[0003] Existing wearable devices (such as smart bracelets) have made significant progress in the field of health monitoring, but their application in skin disease management is still in its infancy. Traditional smart wearable devices mainly focus on physiological indicators such as heart rate, sleep and exercise, while the detection function for the specific symptom of itching has not been fully developed. Summary of the invention

[0004] In view of the problem that the existing technology can only judge the itching degree of patients with chronic skin diseases through clinical evaluation by doctors, the present invention proposes a method for detecting patients' scratching movements and intelligently judging the itching degree, providing patients and doctors with more accurate and comprehensive information, thereby optimizing treatment plans and improving patients' quality of life.

[0005] In one aspect, the present invention provides a method for evaluating pruritus, comprising:

[0006] Acquire a wrist detection signal, the wrist detection signal including first sensor information at time T and second sensor information at time T+1, the wrist detection signal is obtained by detecting at N detection points, the first wrist information is obtained by performing initial posture calibration on the first sensor information at time T, and the second wrist information is obtained by using the second sensor information and the first wrist information at time T+1 through a joint posture algorithm, where N is a positive integer greater than or equal to 2;

[0007] Receive a finger detection signal, wherein the finger detection signal includes first finger information at time T and second finger information at time T+1, wherein the finger detection signal is obtained by detecting M detection points and calculated by a pressure electric signal, where M is a positive integer greater than or equal to 1;

[0008] Calculating a signal difference, wherein the signal difference includes a wrist detection signal difference and a finger detection signal difference, wherein the wrist detection signal difference is a first difference between the second wrist information and the first wrist information, and the finger detection signal difference is a second difference between the second finger information and the first finger information;

[0009] The patient's itching level is determined and displayed according to the first difference and the second difference.

[0010] Preferably, judging the patient's itching level according to the first difference and the second difference includes:

[0011] When the first difference is less than a first threshold and the second difference is greater than a second threshold, judging the patient's itching degree as level one through the finger detection signal;

[0012] When the first difference is greater than a first threshold and the second difference is less than a second threshold, judging the patient's itching degree as level two through the wrist detection signal;

[0013] When the first difference is greater than a first threshold and the second difference is greater than a second threshold, it is determined that the patient's itching degree is level three.

[0014] Specifically, performing initial posture calibration on the first sensor information at time T to obtain first wrist information includes:

[0015] N groups of sensor data are collected for each of the N detection points, and the collected sensor information is calculated to obtain a first posture value. An initial posture value at time T is calculated based on the first posture value, and the initial posture value is the first wrist information.

[0016] Specifically, performing initial posture calibration on the first sensing information at time T to obtain first wrist information further includes:

[0017] Before performing initial posture calibration on the wrist detection signal, perform northing calibration on the wrist detection signal, collect m groups of sensor data for each of the N detection points, calculate the collected sensor information to obtain a second posture value, convert the second posture value into Euler angles according to the corresponding relationship between the quaternion and the rotation matrix, calculate the yaw angle of the detection point according to the Euler angle, and obtain the northing posture value of the wrist detection signal. The initial posture value and the northing posture value are the first wrist information.

[0018] Specifically, at time T+1, the second sensor information and the first wrist information are used to obtain the second wrist information through the joint posture algorithm, including:

[0019] The second sensing information is subjected to a north posture elimination calculation using the north posture value to obtain an intermediate value, the initial posture value is subjected to a north posture elimination calculation using the north posture value to obtain a deviation value, and the intermediate value is subjected to a deviation value elimination calculation to obtain the second wrist information.

[0020] Specifically, it includes:

[0021] The wrist detection signal is obtained by an electronic bracelet worn on the patient's wrist, and the finger detection signal is obtained by a ring worn on the patient's finger. The electronic bracelet is wirelessly connected to the ring, and the electronic bracelet and the ring are worn on the same hand of the patient. The inner surface of the ring is integrated with a flexible, stretchable, self-powered neuromorphic tactile patch, which is composed of a tactile sensor and an artificial synaptic transistor. The ring obtains the pressure electrical signal of the patient's scratching action through the tactile patch.

[0022] Specifically, the received finger detection signal includes first finger information at time T and second finger information at time T+1, and the finger detection signal is calculated by the pressure electrical signal and includes:

[0023] After receiving the finger detection signal, filtering, normalizing and whitening the pressure electrical signal;

[0024] Calculate the joint angular acceleration according to the pressure electrical signal at time T, and calculate the joint angular velocity and joint angle at time T according to the joint angular acceleration, where the joint angular velocity and joint angle at time T are the first finger information;

[0025] The joint angular acceleration is calculated according to the pressure electrical signal at time T+1, and the joint angular velocity and joint angle at time T+1 are calculated according to the joint angular acceleration. The joint angular velocity and joint angle at time T+1 are the second finger information.

[0026] In one aspect, the present invention provides an itch assessment device, comprising:

[0027] a wrist detection signal acquisition unit, used to acquire a wrist detection signal, wherein the wrist detection signal includes first sensor information at time T and second sensor information at time T+1, wherein the wrist detection signal is acquired by detecting at N detection points, wherein the first wrist information is obtained by performing initial posture calibration on the first sensor information at time T, and the second wrist information is obtained by using the second sensor information and the first wrist information at time T+1 through a joint posture algorithm, wherein N is a positive integer greater than or equal to 2;

[0028] A finger detection signal receiving unit, used to receive a finger detection signal, wherein the finger detection signal includes first finger information at time T and second finger information at time T+1, wherein the finger detection signal is obtained by detecting M detection points and calculated by the pressure electric signal, wherein M is a positive integer greater than or equal to 1;

[0029] a signal difference calculation unit, configured to calculate a signal difference, wherein the signal difference includes a wrist detection signal difference and a finger detection signal difference, wherein the wrist detection signal difference is a first difference between the second wrist information and the first wrist information, and the finger detection signal difference is a second difference between the second finger information and the first finger information;

[0030] A judging unit is used to judge and display the patient's itching level according to the first difference and the second difference.

[0031] On the one hand, the present invention provides an electronic bracelet for evaluating pruritus, comprising a bracelet body and a strap, wherein the bracelet body or the strap is integrated with N sensors for capturing the patient's wrist movements, and the bracelet body implements the above-mentioned method to judge the patient's pruritus level through scratching movements and display it on a screen.

[0032] On the one hand, the present invention provides an itching assessment system, including an electronic bracelet and Y rings, wherein the electronic bracelet is wirelessly coupled to the Y rings; the Y rings are worn on the same hand as the electronic bracelet, and are used to detect scratching movements of fingers and transmit them to the electronic bracelet wirelessly; the electronic bracelet receives signals sent by the Y rings, and combines the wrist movement information obtained by the electronic bracelet, and through the above method, the patient's itching level is assessed and displayed.

[0033] Through the above scheme, by obtaining the wrist detection signal, the change value of the wrist movement posture is calculated according to the posture calibration of the wrist detection signal and the joint posture algorithm, and by obtaining the finger detection signal, the change values ​​of the joint angular velocity and the joint angle are calculated according to the finger detection signal. The patient's scratching range and scratching intensity are judged by the change values ​​of the two, thereby realizing the assessment of the patient's itching level, providing patients and doctors with more accurate and comprehensive information, thereby optimizing the treatment plan and improving the patient's quality of life. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A flowchart of a method for assessing pruritus;

[0035] Figure 2 A flowchart for another method of itch assessment;

[0036] Figure 3 It is an itch assessment device;

[0037] Figure 4 It is another itch assessment device;

[0038] Figure 5 Schematic diagram of the storage medium of the electronic bracelet. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in sequences other than those illustrated or described herein.

[0041] It should be understood that in various embodiments of the present invention, the size of the sequence number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0042] It should be understood that in the present invention, "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0043] It should be understood that in the present invention, "plurality" refers to two or more than two. "And / or" is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "Contains A, B and C", "Contains A, B, C" means that A, B, and C are all included, "Contains A, B or C" means that one of A, B, and C is included, and "Contains A, B and / or C" means that any one, any two, or any three of A, B, and C are included.

[0044] It should be understood that in the present invention, "B corresponding to A", "B corresponding to A", "A corresponds to B" or "B corresponds to A" means that B is associated with A and B can be determined based on A. Determining B based on A does not mean determining B based only on A, but B can also be determined based on A and / or other information. A and B match when the similarity between A and B is greater than or equal to a preset threshold.

[0045] Depending on the context, "if" as used herein may be interpreted as "when" or "when" or "in response to determining" or "in response to detecting."

[0046] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0047] Embodiment 1

[0048] like Figure 1 As shown, this embodiment provides an itching assessment method, comprising:

[0049] Step S101: Obtaining a wrist detection signal, the wrist detection signal includes first sensor information at time T and second sensor information at time T+1, the wrist detection signal is obtained by detecting at N detection points, performing initial posture calibration on the first sensor information at time T to obtain first wrist information, and using the second sensor information and the first wrist information at time T+1 to obtain second wrist information through a joint posture algorithm, where N is a positive integer greater than or equal to 2;

[0050] Step S102: receiving a finger detection signal, the finger detection signal including first finger information at time T and second finger information at time T+1, the finger detection signal is obtained by detecting M detection points and calculated by the pressure electric signal, where M is a positive integer greater than or equal to 1;

[0051] Step S103: Calculating signal differences, where the signal differences include wrist detection signal differences and finger detection signal differences, where the wrist detection signal difference is a first difference between the second wrist information and the first wrist information, and the finger detection signal difference is a second difference between the second finger information and the first finger information;

[0052] Step S104: Determine the patient's itching level based on the first difference and the second difference and display it.

[0053] It should be noted that this embodiment is described mainly based on an electronic wristband.

[0054] First, for step S101, the electronic bracelet will obtain the detection signal of the wrist. There are sensors on the back of the dial and the strap of the electronic bracelet to detect the wrist movement. These sensors can be acceleration sensors, gravity sensors, etc. The wrist detection signal is obtained through these sensors. N detection points correspond to N sensors. There are specific requirements for the number and layout of detection points. At least 2 detection points are required to detect the wrist movement. In order to capture the movement trend of the wrist up and down and left and right, it is necessary to arrange the 2 detection points on the upper side (or lower side) of the wrist and the left side (or right side) of the wrist respectively, that is, there are 4 combinations, namely, the upper side and left side of the wrist, the upper side and right side of the wrist, the lower side and left side of the wrist, and the lower side and right side of the wrist. In this way, the detection points can capture the trajectory of the wrist movement along the X-axis and the trajectory of the wrist movement along the Y-axis. However, in order to more accurately reflect the wrist movement trajectory while arranging as few detection points as possible and save product costs, the optimal number of detection points is 4, that is, one each on the upper side, lower side, left side and right side of the wrist. For the electronic bracelet, the detection points are arranged on the back side where the bracelet body contacts the upper side of the wrist, the inner surface where the strap contacts the lower side of the wrist, the inner surface where the strap contacts the left side of the wrist, and the inner surface where the strap contacts the right side of the wrist.

[0055] Secondly, the electronic bracelet will obtain the detection signal of the sensor at intervals within a fixed time, obtain the detection signal of the wrist at intervals, and process and calculate the signal to obtain the movement state of the wrist. The electronic bracelet obtains the first sensor information at the first moment, that is, the moment T, and obtains the second sensor information at the second moment, that is, the moment T+1. The first wrist information and the second wrist information are calculated through the first sensor information and the second sensor information. The first sensor information and the second sensor information are both obtained through the detection points on the electronic bracelet, and the arrangement of the detection points is as shown in the previous paragraph. Since the detection points may have different initial states at the first moment, in order to unify the initial states, it is necessary to calibrate the initial posture of each detection point at the first moment, that is, to calibrate the initial posture of the first sensor signal to obtain the first wrist information, and the joint posture is solved by the first wrist information after the initial posture calibration and the sensor detection information at the second moment to obtain the second wrist information.

[0056] Then, for step S102, the electronic bracelet will receive a detection signal from the ring end, i.e., a finger detection signal. The electronic bracelet can only capture the movement of the wrist part by capturing the user's scratching information, but in many cases, after the user's hand moves to the itchy position, the finger is actually needed to complete the scratching action. At this time, the wrist movement captured by the electronic bracelet may not be active, but in fact the user has a scratching action. Therefore, the capture of the scratching action requires not only the movement information of the wrist, but also the movement information of the finger. Because it is necessary to pass the dual-aspect inspection, the hand on which the user wears the ring and the hand on which the electronic bracelet is worn need to be the same, and when wearing the ring, the user needs to wear it according to the scratching finger he usually uses. In order to adapt to different finger widths, the size of the ring can be adjusted. According to the characteristics of the scratching action, M detection points of the finger are arranged, which can be the position of the ring corresponding to the upper surface or lower surface of the finger, or the position of the ring corresponding to the upper surface and lower surface of the finger.

[0057] Finally, for step S103 and step S104, the difference between the calculated postures obtained at the two moments is compared by comparing the wrist movements obtained at the interval and the finger movements obtained at the interval, and the patient's itching degree and the size of the scratching area can be evaluated according to the difference. The capture of the scratching motion combined with the wrist and fingers is divided into three situations, one is that the wrist is basically not moving and only the fingers are scratching, one is that the fingers are basically not moving and only the wrist is scratching, and the other is that both the wrist and the fingers are moving. Therefore, by comparing the first difference obtained by comparing the information of the wrist at two moments, and the second difference obtained by comparing the information of the fingers at two moments, it is possible to determine whether the wrist and the fingers are moving through the two differences, and then judge the itching degree and itching area, divide the itching level and display it on the electronic bracelet, and provide patients and doctors with more accurate and comprehensive information, thereby optimizing the treatment plan and improving the quality of life of patients.

[0058] Preferably, if Figure 2 As shown, judging the patient's itching level according to the first difference and the second difference includes:

[0059] Step S1041: when the first difference is less than the first threshold and the second difference is greater than the second threshold, judging the patient's itching degree as level one through the finger detection signal;

[0060] Step S1042: when the first difference is greater than the first threshold and the second difference is less than the second threshold, judging the patient's itching degree as level 2 through the wrist detection signal;

[0061] Step S1043: When the first difference is greater than the first threshold and the second difference is greater than the second threshold, it is determined that the patient's itching level is level three.

[0062] It should be noted that, according to the three situations of the scratching motion captured by the wrist and fingers, a judgment standard is set to determine the movement state of the wrist and fingers. For the judgment of the wrist movement posture, a first threshold is set. The first threshold is used to judge the degree of change of the wrist posture at time T and time T+1. It is necessary to compare the difference of the wrist signal compared at the two moments, that is, the first difference, with the first threshold. If the wrist posture is almost unchanged at the two moments, it can be calculated that the first difference is very small. If the wrist posture changes greatly at the two moments, it can be calculated that the first difference is large. After laboratory experiments, the first threshold is preferably set to 5, because it is also necessary to consider small posture changes that do not have a scratching effect. When the first difference is less than or equal to 5, it can be considered that the wrist posture is basically unchanged at this time, that is, the wrist does not participate in the scratching action. When the first difference is greater than 5, it can be considered that the wrist posture is in a larger movement amplitude at this time, that is, the wrist participates in the scratching action; for the judgment of the finger movement posture, A second threshold is set. The second threshold is used to determine the degree of change of the finger posture between time T and time T+1. The difference of the finger signals compared at the two times, i.e., the second difference, needs to be compared with the second threshold. If the finger posture is almost unchanged at the two times, it can be calculated that the second difference is very small. If the wrist posture changes greatly at the two times, it can be calculated that the second difference is large. After laboratory experiments, the second threshold is preferably set to 8. This is because while considering small posture changes that do not have a scratching effect, it is also necessary to balance the situation that the finger posture changes are more sensitive than the wrist. When the second difference is less than or equal to 8, it can be considered that the finger posture is basically unchanged at this time, that is, the finger does not participate in the scratching action. When the second difference is greater than 8, it can be considered that the finger posture is in a larger movement amplitude, that is, the finger participates in the scratching action.By setting the judgment criteria above, it is possible to determine which of the three scratching states it is in. When the first difference is less than the first threshold and the second difference is greater than the second threshold, it means that the wrist has basically no scratching movement and only the fingers are scratching. It can be determined that the user is in a small-scale scratching state at this time, because only the fingers are moving, and the scratching area is limited to the length of the fingers. It can be deduced that the scratching area is approximately within the diameter range of 10-15 cm, thereby further deducing that the itching area is within the diameter range of 10-15 cm, and the itching level at this time is level one; when the first difference is greater than the first threshold and the second difference is less than the second threshold, it means that the fingers have basically no movement and only the wrist is scratching. It can be determined that the user is in a larger range at this time. Scratching state, because scratching with fingers alone cannot meet the user's requirements, the wrist is used to increase the scratching area, and then it is deduced that the scratching area will exceed the diameter range of 10-15 cm, and the itching level at this time is level two; when the first difference is greater than the first threshold and the second difference is greater than the second threshold, it means that the wrist and fingers are moving, and it can be judged that the user is in a large-scale scratching state at this time, because scratching with fingers alone or scratching with wrists alone cannot meet the user's requirements, so the user's scratching requires the movement of fingers to be combined with the amplitude change of the wrist, and then it is deduced that the scratching area will exceed the diameter range of 10-15 cm and the itching degree is greater than the scratching method using only wrist movements or finger movements, and the itching level at this time is level three. Here the itching level increases gradually from level one to level three, and the higher the level, the higher the itching degree. In addition, the scratching area is determined by capturing the itching motion, and then the specific scratching part and size of the user can be located in conjunction with the positioning function of the electronic bracelet.

[0063] Specifically, performing initial posture calibration on the first sensor information at time T to obtain the first wrist information includes:

[0064] Step S1011: collect n groups of sensor data for each of the N detection points, calculate the collected sensor information to obtain a first posture value, and calculate an initial posture value at time T through the first posture value, where the initial posture value is the first wrist information.

[0065] It should be noted that, as described above, the detection points are located on the upper surface or the lower surface, as well as the left and right surfaces of the wrist. At this time, no matter whether there are 2 or 4 detection points, each detection point will have a different initial posture. When the wrist is in motion, the relative posture of the measurement point and the hand remains unchanged, so there will be a constant posture deviation between the detection point and the corresponding hand. Therefore, in order to capture the motion posture of the wrist detection point more accurately, it is necessary to calculate the initial posture of each detection point. When a detection point among the N detection points collects n sets of posture quaternions, (i=1,2,...,n),

[0066] Then the initial state quaternion of the measurement point at time T is calculated as: ;

[0067] The first posture value calculated from the collected sensor information is the posture quaternion calculated above, and the initial posture value at time T calculated by the first posture value is the initial posture quaternion calculated above, that is, the first wrist information. Through the above initial posture calibration, the accuracy of capturing the motion posture of the wrist detection point can be effectively improved.

[0068] Specifically, performing initial posture calibration on the first sensor information at time T to obtain the first wrist information further includes:

[0069] Step S1012: Before performing initial posture calibration on the wrist detection signal, perform northing calibration on the wrist detection signal, collect m groups of sensor data for each of the N detection points, calculate the collected sensor information to obtain a second posture value, convert the second posture value into Euler angles according to the correspondence between the quaternion and the rotation matrix, calculate the yaw angle of the detection point according to the Euler angle, and obtain the northing posture value of the wrist detection signal. The initial posture value and the northing posture value are the first wrist information.

[0070] It should be noted that after the user wears the electronic bracelet, the magnetic north direction of each sensor detection point may not be consistent, which will cause deviations in the initial north posture between the detection points. Before the initial posture calibration of the wrist detection signal, it is necessary to calibrate the basic north direction of each detection point to unify the basic north posture. After the user wears the electronic bracelet, each sensor adjusts its X axis to point to the geographic North Pole, and then collects data from each detection point. For one of the N detection points, m groups of sensor data are collected, and m groups of posture quaternions, i.e., the second posture value, are calculated: , then the attitude quaternion of the detection point at time T is , according to the corresponding relationship calculation formula between quaternion and rotation matrix, the attitude quaternion of the detection point is converted into Euler angle. The corresponding relationship calculation formula between quaternion and rotation matrix is:

[0071] ;

[0072] ;

[0073] .

[0074] After calculating the Euler angle according to the calculation formula of the corresponding relationship between the quaternion and the rotation matrix, the yaw angle of the detection point can be obtained as:

[0075] ;

[0076] According to the definition of unit quaternion, the north attitude quaternion of the detection point is further calculated as:

[0077] ;

[0078] The north attitude quaternion calculated through the above steps is the north attitude value of the wrist detection signal. The first wrist information P is obtained by superimposing the previous initial attitude value and the north attitude value calculated in this section. T , that is, the first wrist information includes the initial posture value and north attitude value It can be seen that the first wrist information superimposed with the north attitude value is more accurate for wrist attitude calculation and subsequent judgment of attitude movements.

[0079] Specifically, at time T+1, the second sensor information and the first wrist information are used to obtain the second wrist information through the joint posture algorithm, including:

[0080] Step S1013: performing north direction posture elimination calculation on the second sensing information using the north direction posture value to obtain an intermediate value, performing north direction posture elimination calculation on the initial posture value using the north direction posture value to obtain a deviation value, performing deviation value elimination calculation on the intermediate value to obtain second wrist information.

[0081] It should be noted that the quaternion calculated from the data output by the detection point describes the posture position of the detection point relative to the navigation coordinate system. The measurement of the detection point by posture capture has a north deviation and a relative posture deviation of the wrist relative to the palm. Therefore, the data directly detected by the detection point cannot directly and accurately describe the movement posture of the wrist in the navigation coordinate system. In order to achieve accurate posture restoration, it is necessary to further calculate and restore the detection data at time T+1, and obtain the final second wrist information through the joint posture algorithm. First, the second sensor information, that is, the posture quaternion Use North attitude value Perform north attitude exclusion calculation to get the middle value :

[0082] ;

[0083] Then the initial posture value Use North attitude value Perform north attitude elimination calculation to obtain the deviation value :

[0084] ;

[0085] Finally, the middle value The posture deviation value of the detection point relative to the human body contained in Remove it and you can get the second wrist information at T+1 time. :

[0086] ;

[0087] The wrist detection signal is obtained through an electronic bracelet worn on the patient's wrist, and the finger detection signal is obtained through a ring worn on the patient's finger. The electronic bracelet and the ring are wirelessly connected, and the electronic bracelet and the ring are worn on the same hand of the patient. The inner surface of the ring is integrated with a flexible, stretchable, self-powered neuromorphic tactile patch, which is composed of a tactile sensor and an artificial synaptic transistor. The pressure electrical signal of the patient's scratching action is obtained through the tactile patch ring.

[0088] It should be noted that the tactile sensor is a self-powered sensor that uses bio-inspired neural coding technology to convert the captured finger tactile information into electrical signals; the artificial synapse processes the electrical signal output by the tactile sensor to obtain the post-synaptic current. Preferably, the TENG tactile sensor and the OECT artificial synapse are integrated on the inner surface of the ring. This material and design structure solves the problem of external power supply, has high integration, and is easier to fit the finger skin to detect the finger scratching action.

[0089] Specifically, a finger detection signal is received, the finger detection signal includes first finger information at time T and second finger information at time T+1, and the finger detection signal is calculated by the pressure electrical signal and includes:

[0090] Step S1021: after receiving the finger detection signal, filtering, normalizing and whitening the pressure electrical signal;

[0091] Step S1022: Calculate the joint angular acceleration according to the pressure electrical signal at time T, calculate the joint angular velocity and joint angle at time T according to the joint angular acceleration, and the joint angular velocity and joint angle at time T are the first finger information;

[0092] Step S1023: Calculate the joint angular acceleration based on the pressure electrical signal at time T+1, calculate the joint angular velocity and joint angle at time T+1 based on the joint angular acceleration, and the joint angular velocity and joint angle at time T+1 are the second finger information.

[0093] It should be noted that the source signal collected by the TENG tactile sensor and the OECT artificial synapse is sent to the electronic bracelet, which uses a fully connected layer to construct a nonlinear relationship between the source signal and the joint angular acceleration, thereby deriving the posture of the finger movement. First, the joint angular acceleration is calculated through the pressure electrical signal, that is, the mapping relationship between the source signal and the joint angular acceleration is established: , where M(t) is the vector of finger motion signals, is the joint angular acceleration vector at time t, and b is the vector control constant. Then the joint angular velocity at time T is calculated based on the joint angular acceleration. Joint Angle for:

[0094] ; ,in is the joint angular velocity vector at time t, is the joint angle vector at time t, f 1 、f 2 、f 3 They are nonlinear joint motion models established by stacking LSTM networks. The calculation process and formula of joint angular velocity and joint angle at time T+1 are the same as those at time T. The calculated joint angular velocity at time T+1 is and joint angle for: ; The joint angular velocity at time T calculated above is and joint angle That is the first finger information, the joint angular velocity at time T+1 and joint angle This is the second finger information.

[0095] Through the above calculation formula, the wrist movements (first wrist information and second wrist information) and finger movements (first finger information and second finger information) obtained at the interval time (T time and T+1 time) are calculated, and the difference (first difference and second difference) of the postures obtained and calculated at the two times are compared. According to the difference, the patient's itching degree and the size of the scratching area can be evaluated. The scratching motion capture combined with the wrist and fingers is divided into three situations. One is that the wrist has basically no movement and only the fingers are scratching, one is that the fingers have basically no movement and only the wrist is scratching, and the other is that both the wrist and the fingers are moving. Therefore, by comparing the first difference obtained by comparing the information of the wrist at two times, and the second difference obtained by comparing the information of the fingers at two times, it is possible to determine whether the wrist and fingers are moving through the two differences, and then judge the degree of itching and itching area, divide the itching level and display it on the electronic bracelet.

[0096] Through the above scheme, the wrist detection signal is obtained, and the change value of the wrist movement posture is calculated based on the posture calibration of the wrist detection signal and the joint posture algorithm. By obtaining the finger detection signal, the change values ​​of the joint angular velocity and the joint angle are calculated according to the finger detection signal. The patient's scratching range and scratching intensity are judged by the change values ​​of the two, thereby realizing the assessment of the patient's itching level, providing patients and doctors with more accurate and comprehensive information, thereby optimizing the treatment plan and improving the patient's quality of life.

[0097] Embodiment 2

[0098] This embodiment provides an itching assessment device, such as Figure 3 As shown, including:

[0099] The wrist detection signal acquisition unit 301 is used to acquire a wrist detection signal, where the wrist detection signal includes first sensor information at time T and second sensor information at time T+1. The wrist detection signal is acquired by detecting at N detection points. The first wrist information is obtained by performing initial posture calibration on the first sensor information at time T. The second wrist information is obtained by using the second sensor information and the first wrist information at time T+1 through a joint posture algorithm, where N is a positive integer greater than or equal to 2.

[0100] The finger detection signal receiving unit 302 is used to receive the finger detection signal, the finger detection signal includes the first finger information at time T and the second finger information at time T+1, the finger detection signal is obtained by detecting M detection points and calculated by the pressure electric signal, where M is a positive integer greater than or equal to 1;

[0101] A signal difference calculation unit 303, used to calculate a signal difference, the signal difference includes a wrist detection signal difference and a finger detection signal difference, the wrist detection signal difference is a first difference between the second wrist information and the first wrist information, and the finger detection signal difference is a second difference between the second finger information and the first finger information;

[0102] The determination unit 304 is used to determine the patient's itching level according to the first difference and the second difference and display it.

[0103] It should be noted that this embodiment is described mainly based on an electronic wristband.

[0104] First, with respect to the wrist detection signal acquisition unit 301, the electronic bracelet will acquire the detection signal of the wrist. There are sensors for detecting wrist movements on the back of the dial and the strap of the electronic bracelet. These sensors may be acceleration sensors, gravity sensors, etc. The wrist detection signal is acquired through these sensors. N detection points correspond to N sensors. There are specific requirements for the number and layout of the detection points. At least 2 detection points are required to detect the wrist movement. In order to capture the up and down and left and right movement trends of the wrist, the 2 detection points need to be arranged on the upper side (or lower side) of the wrist and the left side (or right side) of the wrist, respectively. That is, there are 4 combinations, namely, the upper side and left side of the wrist, the upper side and right side of the wrist, the lower side and left side of the wrist, and the lower side and right side of the wrist.

[0105] This arrangement of detection points can capture both the trajectory of the wrist movement along the X-axis and the trajectory of the wrist movement along the Y-axis. However, in order to more accurately reflect the wrist movement trajectory while arranging as few detection points as possible and save product costs, the optimal number of detection points is 4, that is, one on the upper side, lower side, left side and right side of the wrist. For an electronic bracelet, detection points are arranged on the back of the bracelet body that contacts the upper side of the wrist, the inner surface of the strap that contacts the lower side of the wrist, the inner surface of the strap that contacts the left side of the wrist, and the inner surface of the strap that contacts the right side of the wrist.

[0106] Secondly, the electronic bracelet will obtain the detection signal of the sensor at intervals within a fixed time, obtain the detection signal of the wrist at intervals, and process and calculate the signal to obtain the movement state of the wrist. The electronic bracelet obtains the first sensor information at the first moment, that is, the moment T, and obtains the second sensor information at the second moment, that is, the moment T+1. The first wrist information and the second wrist information are calculated through the first sensor information and the second sensor information. The first sensor information and the second sensor information are both obtained through the detection points on the electronic bracelet, and the arrangement of the detection points is as shown in the previous paragraph. Since the detection points may have different initial states at the first moment, in order to unify the initial states, it is necessary to calibrate the initial posture of each detection point at the first moment, that is, to calibrate the initial posture of the first sensor signal to obtain the first wrist information, and the joint posture is solved by the first wrist information after the initial posture calibration and the sensor detection information at the second moment to obtain the second wrist information.

[0107] Then, for the finger detection signal receiving unit 302, the electronic bracelet will receive the detection signal from the ring end, i.e., the finger detection signal. The electronic bracelet can only capture the movement of the wrist part by capturing the user's scratching information, but in many cases, after the user's hand moves to the itchy position, the finger is actually needed to complete the scratching action. At this time, the wrist movement captured by the electronic bracelet may not be active, but in fact the user has a scratching action. Therefore, the capture of the scratching action requires not only the movement information of the wrist, but also the movement information of the finger. Because it is necessary to pass the dual-aspect inspection, the hand on which the user wears the ring and the hand on which the electronic bracelet is worn need to be the same, and when wearing the ring, the user needs to wear it according to the scratching finger he usually uses. In order to adapt to different finger widths, the size of the ring can be adjusted. According to the characteristics of the scratching action, M detection points of the finger are arranged, which can be the position of the ring corresponding to the upper surface or lower surface of the finger, or the position of the ring corresponding to the upper surface and lower surface of the finger.

[0108] Finally, for the signal difference calculation unit 303 and the judgment unit 304, the wrist movement obtained at the interval and the finger movement obtained at the interval are compared to compare the difference of the postures obtained and calculated at the two moments, and the degree of itching of the patient and the size of the scratching area can be evaluated according to the difference. The capture of the scratching motion combined with the wrist and fingers is divided into three situations, one is that the wrist is basically not moving and only the fingers are scratching, one is that the fingers are basically not moving and only the wrist is scratching, and the other is that both the wrist and the fingers are moving. Therefore, by comparing the first difference obtained by comparing the information of the wrist at two moments, and the second difference obtained by comparing the information of the fingers at two moments, it is possible to obtain whether the wrist and the fingers are moving through the two differences, and then judge the degree of itching and the itching area, divide the itching level and display it on the electronic bracelet, and provide more accurate and comprehensive information for patients and doctors, so as to optimize the treatment plan and improve the quality of life of patients.

[0109] Preferably, if Figure 4 As shown, the judgment unit 304 includes an itching degree rating module 4041, which is used to rate the itching degree according to the changes in the wrist and finger movement postures:

[0110] When the first difference is less than the first threshold and the second difference is greater than the second threshold, it is determined through the finger detection signal that the patient's itching degree is level one;

[0111] When the first difference is greater than the first threshold and the second difference is less than the second threshold, the patient's itching degree is determined to be level two through the wrist detection signal;

[0112] When the first difference is greater than the first threshold and the second difference is greater than the second threshold, it is determined that the patient's itching degree is level three.

[0113] It should be noted that, for the itching degree grading module, a judgment standard is set according to the three situations captured by the scratching motion of the wrist and fingers to determine the movement state of the wrist and fingers. For the judgment of the wrist movement posture, a first threshold is set. The first threshold is used to judge the degree of change of the wrist posture at time T and time T+1. It is necessary to compare the difference of the wrist signal compared at the two moments, that is, the first difference, with the first threshold. If the wrist posture is almost unchanged at the two moments, it can be calculated that the first difference is very small. If the wrist posture changes greatly at the two moments, it can be calculated that the first difference is large. After laboratory experiments, the first threshold is preferably set to 5, because it is also necessary to consider small posture changes that do not have a scratching effect. When the first difference is less than or equal to 5, it can be considered that the wrist posture is basically unchanged at this time, that is, the wrist does not participate in the scratching action. When the first difference is greater than 5, it can be considered that the wrist posture is in a larger movement amplitude at this time, that is, the wrist participates in the scratching action; for the judgment of the finger movement posture, A second threshold is set. The second threshold is used to determine the degree of change of the finger posture between time T and time T+1. The difference of the finger signals compared at the two times, i.e., the second difference, needs to be compared with the second threshold. If the finger posture is almost unchanged at the two times, it can be calculated that the second difference is very small. If the wrist posture changes greatly at the two times, it can be calculated that the second difference is large. After laboratory experiments, the second threshold is preferably set to 8. This is because while considering small posture changes that do not have a scratching effect, it is also necessary to balance the situation that the finger posture changes are more sensitive than the wrist. When the second difference is less than or equal to 8, it can be considered that the finger posture is basically unchanged at this time, that is, the finger does not participate in the scratching action. When the second difference is greater than 8, it can be considered that the finger posture is in a larger movement amplitude, that is, the finger participates in the scratching action.By setting the judgment criteria above, it is possible to determine which of the three scratching states it is in. When the first difference is less than the first threshold and the second difference is greater than the second threshold, it means that the wrist has basically no scratching movement and only the fingers are scratching. It can be determined that the user is in a small-scale scratching state at this time, because only the fingers are moving, and the scratching area is limited to the length of the fingers. It can be deduced that the scratching area is approximately within the diameter range of 10-15 cm, thereby further deducing that the itching area is within the diameter range of 10-15 cm, and the itching level at this time is level one; when the first difference is greater than the first threshold and the second difference is less than the second threshold, it means that the fingers have basically no movement and only the wrist is scratching. It can be determined that the user is in a larger range at this time. Scratching state, because scratching with fingers alone cannot meet the user's requirements, the wrist is used to increase the scratching area, and then it is deduced that the scratching area will exceed the diameter range of 10-15 cm, and the itching level at this time is level two; when the first difference is greater than the first threshold and the second difference is greater than the second threshold, it means that the wrist and fingers are moving, and it can be judged that the user is in a large-scale scratching state at this time, because scratching with fingers alone or scratching with wrists alone cannot meet the user's requirements, so the user's scratching requires the movement of fingers to be combined with the amplitude change of the wrist, and then it is deduced that the scratching area will exceed the diameter range of 10-15 cm and the itching degree is greater than the scratching method using only wrist movements or finger movements, and the itching level at this time is level three. Here the itching level increases gradually from level one to level three, and the higher the level, the higher the itching degree. In addition, the scratching area is determined by capturing the itching motion, and then the specific scratching part and size of the user can be located in conjunction with the positioning function of the electronic bracelet.

[0114] Specifically, Figure 4 As shown, the wrist detection signal acquisition unit 301 includes:

[0115] The initial posture calibration module 4011 is used to collect n groups of sensor data for each of the N detection points, calculate the collected sensor information to obtain a first posture value, and calculate the initial posture value at time T through the first posture value. The initial posture value is the first wrist information.

[0116] It should be noted that, for the initial posture calibration module 4011, as described above, the detection points are located on the upper surface or the lower surface, as well as the left and right surfaces of the wrist. At this time, whether there are 2 or 4 detection points, each detection point will have a different initial posture. When the wrist is in motion, the relative posture of the measurement point and the hand remains unchanged, so there will be a constant posture deviation between the detection point and the corresponding hand. Therefore, in order to capture the motion posture of the wrist detection point more accurately, it is necessary to calculate the initial posture of each detection point. When a detection point among the N detection points collects n groups of posture quaternions:

[0117] ,

[0118] Then the initial state quaternion of the measurement point at time T is calculated as:

[0119] ;

[0120] The first posture value calculated from the collected sensor information is the posture quaternion calculated above, and the initial posture value at time T calculated by the first posture value is the initial posture quaternion calculated above, that is, the first wrist information. Through the above initial posture calibration, the accuracy of capturing the motion posture of the wrist detection point can be effectively improved.

[0121] Specifically, Figure 4 As shown, the wrist detection signal acquisition unit 301 also includes:

[0122] The north attitude calibration module 4012 is used to perform north direction calibration on the wrist detection signal before performing initial attitude calibration on the wrist detection signal, collect m groups of sensor data for each of the N detection points, calculate the collected sensor information to obtain a second attitude value, convert the second attitude value into Euler angles according to the correspondence between the quaternion and the rotation matrix, calculate the yaw angle of the detection point according to the Euler angle, and obtain the north attitude value of the wrist detection signal. The initial attitude value and the north attitude value are the first wrist information.

[0123] It should be noted that for the north attitude calibration module 4012, after the user wears the electronic bracelet, the magnetic north direction of the detection points of each sensor may not be consistent, which will cause deviations in the initial north attitude between the detection points. Before the wrist detection signal is calibrated for the initial attitude, it is necessary to perform basic north calibration on each detection point to unify the basic north attitude. After the user wears the electronic bracelet, each sensor adjusts its X-axis to point to the geographic North Pole, and then collects data from each detection point. For one of the N detection points, m groups of sensor data are collected, and m groups of attitude quaternions, i.e., the second attitude value, are calculated:

[0124] , then the attitude quaternion of the detection point at time T is , according to the corresponding relationship calculation formula between quaternion and rotation matrix, the attitude quaternion of the detection point is converted into Euler angle. The corresponding relationship calculation formula between quaternion and rotation matrix is:

[0125] ;

[0126] ;

[0127] .

[0128] After calculating the Euler angle according to the calculation formula of the corresponding relationship between the quaternion and the rotation matrix, the yaw angle of the detection point can be obtained as:

[0129] ;

[0130] According to the definition of unit quaternion, the north attitude quaternion of the detection point is further calculated as:

[0131] ;

[0132] The north attitude quaternion calculated through the above steps is the north attitude value of the wrist detection signal. The first wrist information P is obtained by superimposing the previous initial attitude value and the north attitude value calculated in this section. T , that is, the first wrist information includes the initial posture value and north attitude value It can be seen that the first wrist information superimposed with the north attitude value is more accurate for wrist attitude calculation and subsequent judgment of attitude movements.

[0133] Specifically, Figure 4 As shown, the wrist detection signal acquisition unit 401 also includes:

[0134] The second wrist information calculation module 4013 is used to perform north posture elimination calculation on the second sensor information using the north posture value to obtain an intermediate value, perform north posture elimination calculation on the initial posture value using the north posture value to obtain a deviation value, and perform deviation value elimination calculation on the intermediate value to obtain the second wrist information.

[0135] It should be noted that, for the second wrist information calculation module 4013, the quaternion calculated from the data output by the detection point describes the posture position of the detection point relative to the navigation coordinate system. The measurement of the detection point by posture capture has a north deviation and a relative posture deviation of the wrist part relative to the palm. Therefore, the data directly detected by the detection point cannot directly and accurately describe the movement posture of the wrist in the navigation coordinate system. In order to achieve accurate posture restoration, it is necessary to further calculate and restore the detection data at time T+1, and specifically obtain the final second wrist information through the joint posture algorithm. First, the second sensor information, i.e., the posture quaternion Use North attitude value Perform north attitude exclusion calculation to get the middle value :

[0136] ;

[0137] Then the initial posture value Use North attitude value Perform north attitude elimination calculation to obtain the deviation value :

[0138] ;

[0139] Finally, the middle value The posture deviation value of the detection point relative to the human body contained in Remove, and you can get the second wrist information P at T+1 time. T+1：

[0140] ;

[0141] Specifically, if Figure 4 As shown, the finger detection signal receiving unit 302 includes:

[0142] The preprocessing module 4021 is used to filter, normalize and whiten the pressure electric signal after receiving the finger detection signal;

[0143] The first finger information calculation module 4022 is used to calculate the joint angular acceleration according to the pressure electrical signal at time T, and calculate the joint angular velocity and joint angle at time T according to the joint angular acceleration, and the joint angular velocity and joint angle at time T are the first finger information;

[0144] The second finger information calculation module 4023 is used to calculate the joint angular acceleration according to the pressure electrical signal at time T+1, and calculate the joint angular velocity and joint angle at time T+1 according to the joint angular acceleration. The joint angular velocity and joint angle at time T+1 are the second finger information.

[0145] The wrist detection signal is obtained through an electronic bracelet worn on the patient's wrist, and the finger detection signal is obtained through a ring worn on the patient's finger. The electronic bracelet and the ring are wirelessly connected, and the electronic bracelet and the ring are worn on the same hand of the patient. The inner surface of the ring is integrated with a flexible, stretchable, self-powered neuromorphic tactile patch, which is composed of a tactile sensor and an artificial synaptic transistor. The pressure electrical signal of the patient's scratching action is obtained through the tactile patch ring.

[0146] It should be noted that for the ring, the tactile sensor is a self-powered sensor that uses bio-inspired neural coding technology to convert the captured finger tactile information into electrical signals; the artificial synapse processes the electrical signal output by the tactile sensor to obtain the post-synaptic current. Preferably, the TENG tactile sensor and the OECT artificial synapse are integrated on the inner surface of the ring. This material and design structure solves the problem of external power supply, has high integration, and is easier to fit the finger skin to detect the finger scratching action.

[0147] For the preprocessing module 4021, the input primary electrical signal needs to be simply preprocessed. Conventional preprocessing technology is used here to perform bandpass filtering, normalization and whitening processing on the pressure electrical signal obtained by the ring, which can smooth data noise and improve data quality.

[0148] The first finger information calculation module 4022 and the second finger information calculation module 4023 are used to send the source signal collected by the TENG tactile sensor and the OECT artificial synapse to the electronic bracelet. The electronic bracelet uses a fully connected layer to construct a nonlinear relationship between the source signal and the joint angular acceleration, thereby obtaining the posture of the finger movement. First, the joint angular acceleration is calculated through the pressure electrical signal, that is, the mapping relationship between the source signal and the joint angular acceleration is established: Where M(t) is the vector formed by the finger motion signal, is the joint angular acceleration vector at time t, and b is the vector control constant. Then the joint angular velocity at time T is calculated based on the joint angular acceleration. and joint angle for:

[0149] ; ,in is the joint angular velocity vector at time t, is the joint angle vector at time t, f 1 、f 2 、f 3 They are nonlinear joint motion models established by stacking LSTM networks. The calculation process and formula of joint angular velocity and joint angle at time T+1 are the same as those at time T. The calculated joint angular velocity at time T+1 is and joint angle This is the second finger information.

[0150] Through the above calculation formula, the wrist movements (first wrist information and second wrist information) and finger movements (first finger information and second finger information) obtained at the interval time (T time and T+1 time) are calculated, and the difference (first difference and second difference) of the postures obtained and calculated at the two times are compared. According to the difference, the patient's itching degree and the size of the scratching area can be evaluated. The scratching motion capture combined with the wrist and fingers is divided into three situations. One is that the wrist has basically no movement and only the fingers are scratching, one is that the fingers have basically no movement and only the wrist is scratching, and the other is that both the wrist and the fingers are moving. Therefore, by comparing the first difference obtained by comparing the information of the wrist at two times, and the second difference obtained by comparing the information of the fingers at two times, it is possible to determine whether the wrist and fingers are moving through the two differences, and then judge the degree of itching and itching area, divide the itching level and display it on the electronic bracelet.

[0151] Through the above scheme, the wrist detection signal is obtained, and the change value of the wrist movement posture is calculated based on the posture calibration of the wrist detection signal and the joint posture algorithm. By obtaining the finger detection signal, the change values ​​of the joint angular velocity and the joint angle are calculated according to the finger detection signal. The patient's scratching range and scratching intensity are judged by the change values ​​of the two, thereby realizing the assessment of the patient's itching level, providing patients and doctors with more accurate and comprehensive information, thereby optimizing the treatment plan and improving the patient's quality of life.

[0152] Embodiment 3

[0153] This embodiment provides an electronic bracelet for itch assessment, including a bracelet body and a strap. N sensors are integrated on the bracelet body or the strap to capture the patient's wrist movements. The bracelet body implements the method of Embodiment 1 to judge the patient's itch level through scratching movements and display it on the screen.

[0154] It should be noted that there are sensors on the back of the dial and the strap of the electronic bracelet to detect wrist movements. These sensors can be acceleration sensors, gravity sensors, etc. The wrist detection signal is obtained through these sensors. N detection points correspond to N sensors. There are specific requirements for the number and layout of detection points. At least 2 detection points are required to detect wrist movements. In order to capture the up and down and left and right movement trends of the wrist, the 2 detection points need to be arranged on the upper side (or lower side) of the wrist and the left side (or right side) of the wrist, that is, there are 4 combinations, namely, the upper side and left side of the wrist, the upper side and right side of the wrist, the lower side and left side of the wrist, and the lower side and right side of the wrist. In this way, the detection points can capture both the trajectory of the wrist movement along the X-axis and the trajectory of the wrist movement along the Y-axis. However, in order to more accurately reflect the wrist movement trajectory while arranging as few detection points as possible and save product costs, the optimal number of detection points is 4, that is, one each on the upper side, lower side, left side and right side of the wrist. For the electronic bracelet, the detection points are arranged on the back side where the bracelet body contacts the upper side of the wrist, the inner surface where the strap contacts the lower side of the wrist, the inner surface where the strap contacts the left side of the wrist, and the inner surface where the strap contacts the right side of the wrist.

[0155] Embodiment 4

[0156] The present embodiment provides an itching assessment system, including an electronic bracelet and Y rings, wherein the electronic bracelet is wirelessly coupled to the Y rings; the Y rings and the electronic bracelet are worn on the same hand, and are used to detect the scratching action of the fingers and transmit the scratching action to the electronic bracelet wirelessly; the electronic bracelet receives the signals sent by the Y rings, and combines the wrist action information obtained by the electronic bracelet, and implements the assessment and display of the patient's itching level through the method of the first embodiment.

[0157] It should be noted that there can be one or more rings. Since the user may have more than one finger that is often used for scratching, multiple rings can be used for the convenience of the user to wear them on multiple fingers to more accurately capture the scratching actions of multiple fingers. Regardless of whether the electronic bracelet is connected to one ring to receive information or multiple rings are connected to receive information, the same calculation is performed on the finger information detected by the ring using the method of Example 1. Since the specific calculation formula and process have been described in detail in Example 1, they will not be repeated in this embodiment.

[0158] In addition, if Figure 5 As shown, the electronic bracelet includes a readable storage medium, which can be a computer storage medium or a communication medium. The communication medium includes any medium that facilitates the transmission of a computer program from one place to another. The computer storage medium can be any available medium that can be accessed by a general or special-purpose computer. For example, a readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application-specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). In addition, the ASIC can be located in a user device. Of course, the processor and the readable storage medium can also exist in a communication device as discrete components. The readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0159] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating pruritus, characterized in that: include: Acquire a wrist detection signal, where the wrist detection signal is obtained by an electronic bracelet worn on the patient's wrist, where the wrist detection signal includes first sensor information at time T and second sensor information at time T+1, where the wrist detection signal is obtained by detecting at N detection points, where the first sensor information is initially calibrated at time T to obtain first wrist information, and where the second sensor information and the first wrist information are used at time T+1 to obtain second wrist information through a joint posture algorithm, where N is a positive integer greater than or equal to 2; Receive a finger detection signal, the finger detection signal is obtained by a ring worn on the patient's finger, the electronic bracelet is wirelessly connected to the ring, and the electronic bracelet and the ring are worn on the same hand of the patient; the inner surface of the ring is integrated with a flexible, stretchable, self-powered neuromorphic tactile patch, the tactile patch is composed of a tactile sensor and an artificial synaptic transistor, and the ring obtains the pressure electric signal of the patient's scratching action through the tactile patch; the finger detection signal includes the first finger information at time T and the second finger information at time T+1, the finger detection signal is obtained by detecting M detection points and calculated by the pressure electric signal, M is a positive integer greater than or equal to 1, and after receiving the finger detection signal, the pressure electric signal is filtered, normalized and whitened; Calculate the joint angular acceleration according to the pressure electrical signal at time T, and calculate the joint angular velocity and joint angle at time T according to the joint angular acceleration, where the joint angular velocity and joint angle at time T are the first finger information; Calculate the joint angular acceleration according to the pressure electrical signal at time T+1, calculate the joint angular velocity and joint angle at time T+1 according to the joint angular acceleration, and the joint angular velocity and joint angle at time T+1 are the second finger information; Calculating a signal difference, wherein the signal difference includes a wrist detection signal difference and a finger detection signal difference, wherein the wrist detection signal difference is a first difference between the second wrist information and the first wrist information, and the finger detection signal difference is a second difference between the second finger information and the first finger information; The patient's itching level is judged and displayed according to the first difference and the second difference, and the levels are divided as follows: when the first difference is less than a first threshold and the second difference is greater than a second threshold, the patient's itching level is judged as level one through the finger detection signal; when the first difference is greater than the first threshold and the second difference is less than the second threshold, the patient's itching level is judged as level two through the wrist detection signal; when the first difference is greater than the first threshold and the second difference is greater than the second threshold, the patient's itching level is judged as level three.

2. The itch assessment method according to claim 1, characterized in that: Performing initial posture calibration on the first sensor information at time T to obtain first wrist information includes: N groups of sensor data are collected for each of the N detection points, and the collected sensor information is calculated to obtain a first posture value. An initial posture value at time T is calculated based on the first posture value, and the initial posture value is the first wrist information.

3. The itch assessment method according to claim 2, characterized in that: Performing initial posture calibration on the first sensor information at time T to obtain first wrist information also includes: Before performing initial posture calibration on the wrist detection signal, perform northing calibration on the wrist detection signal, collect m groups of sensor data for each of the N detection points, calculate the collected sensor information to obtain a second posture value, convert the second posture value into Euler angles according to the corresponding relationship between the quaternion and the rotation matrix, calculate the yaw angle of the detection point according to the Euler angle, and obtain the northing posture value of the wrist detection signal. The initial posture value and the northing posture value are the first wrist information.

4. The itch assessment method according to claim 3, characterized in that: At time T+1, the second sensor information and the first wrist information are used to obtain the second wrist information through the joint posture algorithm, including: The second sensing information is subjected to a north posture elimination calculation using the north posture value to obtain an intermediate value, the initial posture value is subjected to a north posture elimination calculation using the north posture value to obtain a deviation value, and the intermediate value is subjected to a deviation value elimination calculation to obtain the second wrist information.

5. An itching assessment device, characterized in that: include: A wrist detection signal acquisition unit is used to acquire a wrist detection signal, wherein the wrist detection signal is obtained by an electronic bracelet worn on the patient's wrist, wherein the wrist detection signal includes first sensing information at time T and second sensing information at time T+1, wherein the wrist detection signal is obtained by detecting at N detection points, wherein the first wrist information is obtained by performing initial posture calibration on the first sensing information at time T, and the second wrist information is obtained by using the second sensing information and the first wrist information at time T+1 through a joint posture algorithm, wherein N is a positive integer greater than or equal to 2; A finger detection signal receiving unit is used to receive a finger detection signal, wherein the finger detection signal is obtained through a ring worn on a patient's finger, the electronic bracelet is wirelessly connected to the ring, and the electronic bracelet and the ring are worn on the same hand of the patient; the inner surface of the ring is integrated with a flexible, stretchable, self-powered neuromorphic tactile patch, the tactile patch is composed of a tactile sensor and an artificial synaptic transistor, and the ring obtains a pressure electric signal when the patient scratches through the tactile patch; the finger detection signal includes the first finger information at time T and the second finger information at time T+1, the finger detection signal is obtained by detecting M detection points and calculated by the pressure electric signal, wherein M is a positive integer greater than or equal to 1, and after receiving the finger detection signal, the pressure electric signal is filtered, normalized and whitened; Calculate the joint angular acceleration according to the pressure electrical signal at time T, and calculate the joint angular velocity and joint angle at time T according to the joint angular acceleration, where the joint angular velocity and joint angle at time T are the first finger information; Calculate the joint angular acceleration according to the pressure electrical signal at time T+1, calculate the joint angular velocity and joint angle at time T+1 according to the joint angular acceleration, and the joint angular velocity and joint angle at time T+1 are the second finger information; a signal difference calculation unit, configured to calculate a signal difference, wherein the signal difference includes a wrist detection signal difference and a finger detection signal difference, wherein the wrist detection signal difference is a first difference between the second wrist information and the first wrist information, and the finger detection signal difference is a second difference between the second finger information and the first finger information; A judgment unit is used to judge and display the patient's itching level according to the first difference and the second difference, and the levels are divided as follows: when the first difference is less than a first threshold and the second difference is greater than a second threshold, the patient's itching level is judged to be level one through the finger detection signal; when the first difference is greater than the first threshold and the second difference is less than the second threshold, the patient's itching level is judged to be level two through the wrist detection signal; when the first difference is greater than the first threshold and the second difference is greater than the second threshold, the patient's itching level is judged to be level three.

6. An itch assessment electronic bracelet, comprising a bracelet body and a strap, characterized in that: The bracelet body or the strap is integrated with N sensors for capturing the patient's wrist movements. The bracelet body implements the method described in any one of claims 1 to 4, determines the patient's itching level through scratching movements, and displays it on the screen.

7. An itching assessment system, characterized in that: include: An electronic bracelet and Y rings, wherein the electronic bracelet is wirelessly coupled to the Y rings; the Y rings are worn on the same hand as the electronic bracelet, and are used to detect scratching movements of fingers and transmit them to the electronic bracelet wirelessly; the electronic bracelet receives signals sent by the Y rings, combines the wrist movement information obtained by the electronic bracelet, and implements and displays the patient's itching level through the method described in any one of claims 1 to 4.

Images