A sensor arrangement method for cervical spine posture monitoring

Abstract

The present invention relates to a sensor arrangement method for cervical spine posture monitoring, comprising at least: an electrode patch serving as a supporting substrate, with a first bend sensor and a second bend sensor both disposed on the electrode patch; the first bend sensor and the second bend sensor being disposed on a first surface of the electrode patch in an overlapping manner; wherein the first bend sensor and the second bend sensor overlapping each other means that one surface of each of the first bend sensor and the second bend sensor is bonded to each other so that the two form an integrated structure that operates synchronously. The present invention utilizes a flexible bend sensor with the low power consumption characteristics of an accelerometer. During cervical spine monitoring, the sensor is not affected by errors caused by the human torso not being aligned with the line of gravity, and is convenient to use and carry.

Description

[0001] The original basis of this divisional application is the patent application with application number 201910806048.4, application date August 28, 2019, and invention name “A method and system for monitoring cervical posture based on flexible bending sensor”. Technical Field

[0002] The present invention relates to the field of medical health technology, and in particular to a sensor arrangement method for cervical vertebra posture monitoring. Background Art

[0003] In today's rapidly developing world, people are spending more and more time using electronic devices such as mobile phones, computers, and tablets, and the age and gender of users are becoming more and more diverse. However, due to the frequent use of these devices in poor cervical postures, people have developed various health problems with their cervical spine, such as cervical pain caused by common abnormal cervical curvature. In real life, most people know that they should keep their cervical posture correct, but it is difficult for people to correct their cervical posture all the time. Various cervical monitoring devices in the prior art are too heavy and not suitable for long-term wear. They are also expensive and have simple monitoring methods. The present invention uses a flexible bending sensor that has the low power consumption characteristics of an accelerometer. During the monitoring of the cervical spine, it will not be affected by the error caused by the human torso not coinciding with the gravity line, and is easy to use and carry.

[0004] Many systems can monitor cervical spine posture. The Xsens MVN is a cost-effective, full-body human motion capture system. Based on an IMU and utilizing biomechanical and sensor fusion technologies, it can capture human motion. However, due to its large size and complexity, it is not suitable for daily use. Paul P. Breen et al. studied a single-axis acceleration real-time cervical spine posture correction system. After six subjects wore this device, the time they spent with poor cervical posture was reduced by 82%. Yingying Wang et al. developed a smart wearable device that can detect cervical spine posture. This device, which is worn on the forehead, uses a three-axis accelerometer within the device to obtain real-time cervical spine posture data. The posture accuracy of the five subjects was 100%. These accelerometers measure the cervical spine's posture relative to the ground. The cervical spine's posture angle depends on gravitational acceleration, and significant errors can occur if the human torso is not aligned with the line of gravity. Worawat Lawanont et al. proposed a method of using a mobile phone angle sensor and a front camera to obtain the cervical spine posture. With the earth as the reference system, the angle of the human face relative to the mobile phone is calculated through the facial image, and the angle of the mobile phone relative to the earth is obtained through the angle sensor in the mobile phone. The user's cervical spine posture is calculated by combining the inclination angle of the human face and the inclination angle of the mobile phone relative to the earth. Experimental results show that the error of the user's head curvature does not exceed 4°. For example, patent publication CN107273823A discloses a neck posture monitoring method based on the fusion of sensors and image processing. The method is implemented in the following steps: Step 1: Determine whether the user is using a mobile terminal, then go to Step 2; otherwise, go to Step 1; Step 2: Use a three-axis acceleration sensor to collect the angle between the long axis of the mobile terminal and the vertical line, i.e., the tilt angle β of the mobile terminal; Step 3: Perform image processing on the facial image captured by the front camera of the mobile terminal to calculate the user's facial angle FaceAngle relative to the mobile terminal screen; Step 4: Calculate the neck bending angle α based on the tilt angle β of the mobile terminal obtained in Step 2 and the facial angle FaceAngle of the user relative to the mobile terminal screen obtained in Step 3; Step 5: Perform rule-based classification of neck posture based on the size of the neck bending angle α, and issue a real-time warning for incorrect neck posture. This inventive method can monitor the user's neck posture in real time and issue a real-time warning for unhealthy neck posture.Patent document with publication number CN109938739A discloses a cervical spine monitoring device, which includes: an acceleration signal acquisition module, a data processing module, a control module and a wireless communication module; the acceleration signal acquisition module is located on the user's forehead and is used to obtain the three-axis acceleration of the user's head in real time; the input end of the data processing module is connected to the output end of the acceleration signal acquisition module, and is used to determine the rotation angle of the user's head according to the average absolute value of the three-axis acceleration when the user's neck posture type is a head-down type; when the rotation angle of the user's head is greater than or equal to a first threshold and less than a second threshold, the user's neck posture is determined to be slightly head-down; when the rotation angle of the user's head is greater than or equal to the second threshold, the user's neck posture is determined to be severely head-down, and a reminder message is sent to the user. Through the technical solution of this invention, it is possible to achieve real-time and continuous monitoring of the user's cervical spine posture and provide reminders. Patent document CN109350068A discloses a cervical vertebra health monitor and monitoring method, the instrument comprising a housing provided with a switch button and an adhesive layer, an angle detection module provided inside the housing, and an angle processing module, an oscillation module, a power supply module, and a voice prompt module connected to the angle detection module. The cervical vertebra health monitor of the present invention solves the problem in the prior art that various physical therapy instruments for cervical vertebra diseases only have treatment functions but no early warning and monitoring functions. After reading, writing, typing, using mobile phones and other electronic devices for a long time, people will unconsciously lower their heads, causing the cervical spine to lean forward. If the cervical spine remains in a forward-leaning state for a long time, the cervical spine will become fatigued and eventually develop cervical vertebra diseases. With the cervical vertebra health monitor of the invention, when the user lowers his head, the instrument will vibrate, prompting the user to adjust his posture, thereby playing a role in monitoring, preventing and treating cervical vertebra diseases.

[0005] A Chinese patent with publication number CN107028613B discloses a simple, easy-to-carry real-time monitoring instrument for the cervical spine status, comprising a flexible base frame, on which are fixed a left bending sensor, a right bending sensor, a rear bending sensor, a front bending sensor, and a three-axis tilt sensor. The three-axis tilt sensor, the left bending sensor, the right bending sensor, the front bending sensor, and the rear bending sensor are all connected to a processing unit, which is also connected to a wireless communication unit; the wireless communication unit and the control device are both connected to a power supply. The cervical spine health status monitor disclosed in this patent has the advantages of small size, light weight, simple structure, and ease of use. It can be applied to various groups of people to monitor cervical spine health, prevent cervical spondylosis, and can also be used for auxiliary detection and treatment during the recovery process of cervical spondylosis. However, this patent uses multiple basic sensors for monitoring, which makes the sensors extremely susceptible to damage during use. The device has high production costs and a high rate of wear and tear, making it inconvenient for normal use.

[0006] The aforementioned cervical spine monitoring devices and methods rely on angular velocity sensors and the angle of the face relative to the phone. However, angular velocity sensors consume a lot of power, and the error in the angle of the face relative to the phone can vary significantly depending on the user's posture, making them difficult to use in practice. The present invention's cervical spine posture monitoring system, based on a flexible bending sensor, combines the low power consumption of an accelerometer, is immune to errors caused by the body's torso not aligning with the line of gravity, and is easy to use and carry.

[0007] Chinese patent CN109147285A discloses a wearable intelligent sitting posture monitoring system. The calculation basic data cited in the patent is the resistance change, which records: the data processing module also includes a processing chip and basic components, a gear regulator, a power supply, etc. The gear regulator has three gears, which correspond to three curvature sensors respectively. The bending threshold can be set accordingly. When the curvature of the spine exceeds the bending threshold, the vibrator is triggered to remind the human body to correct it. When the correct sitting posture is reached, the vibrator stops vibrating. The sitting posture judgment process in the technical solution of this patent is based on the judgment of the bending curvature. However, the calculation basic data of this application is the bending deformation. The first data and the second data in this application are not directly used to calculate the bending curvature. The real-time bending curvature obtained by the fourth calculation formula of the present application, on the one hand, can enable the user to clearly understand the current posture of his or her cervical spine by outputting and displaying the bending data of the cervical spine in real time, and then make adjustments based on the current posture, ultimately enabling the user to adjust the cervical spine to a standard posture, thereby achieving the technical effect of correcting the cervical spine posture. On the other hand, when the user dynamically adjusts the posture of his or her cervical spine based on the bending data, the user needs to go through multiple posture changes before adjusting the spinal posture to the standard posture. This process is a slow and repetitive process, so that the user can fully relieve the fatigue of the cervical spine during this process.

[0008] In addition, on the one hand, there are differences in understanding among those skilled in the art; on the other hand, the inventor studied a large number of documents and patents when making the present invention, but due to space limitations, not all details and contents are listed in detail. However, this does not mean that the present invention does not have the characteristics of these prior arts. On the contrary, the present invention already has all the characteristics of the prior art, and the applicant reserves the right to add relevant prior art to the background art. Summary of the Invention

[0009] As used herein, the term "module" describes any piece of hardware, software, or a combination of hardware and software that is capable of performing the functionality associated with the "module."

[0010] In view of the deficiencies of the prior art, the present invention provides a cervical vertebra posture monitoring method based on a flexible bending sensor, which comprises at least the following steps: obtaining cervical vertebra bending data based on a data collector attached to the back of the user's neck to determine the cervical vertebra posture; when the human cervical vertebra leans forward or backward, the data collector can generate bending deformation based on the fit with the back of the human neck, and obtain the bending data based on the bending deformation, wherein the data collector can abut against the back of the neck corresponding to all vertebrae so that the shape of the data collector after bending deformation can roughly match the bending shape of the human cervical vertebra; when the cervical vertebra posture is determined to be in an abnormal posture based on the bending data, first alarm data is generated to remind the user, wherein, when the human cervical vertebra leans forward or backward so that the head deviation angle is greater than the set angle, the cervical vertebra posture is determined to be in an abnormal posture, and the bending data at least includes first data RAW1 n+1 and the second data RAW2 n+1 , wherein, when the cervical vertebra is bent in the first direction so that the head is offset, the first data RAW1 n+1 Increase and the second data RAW2 n+1 decreases, or when the cervical vertebra is bent in a second direction opposite to the first direction so that the head is offset, the first data RAW1 n+1 Reduce and the second data RAW2 n+1 Increase; the first alarm data is based on the first data RAW1 n+1 and the second data RAW2 n+1 Generated when the commonly determined judgment conditions are met.

[0011] According to a preferred embodiment, the determination of the judgment condition includes at least the following steps: determining the first data RAW1 based on the first calculation formula n+1 The first mean LTA1 and the second data RAW2 n+1 The second mean LTA2 of the first data RAW1 is determined based on the second calculation formula; n+1 The first filtered data FD1 and the second data RAW2 after filtering n+1 The second filtered data FD2 after the filtering process is used to determine the first dynamic threshold DTA1 and the second dynamic threshold DTA2 based on the third calculation formula.

[0012] According to a preferred embodiment, the first calculation formula is: Among them, LTA n+1 Indicates the average value of the first data or the second data up to the current moment, LTA n Indicates the average value of the first data or the second data up to the previous moment.

[0013] According to a preferred embodiment, the second calculation formula is FD n+1 =FD n *(β-1)+RAW n+1 *β, where FD n+1 Indicates the filtered data of the first data or the second data at the current moment. n represents the filtered data of the first data or the second data at the previous moment, β is the filter coefficient; the third calculation formula is DTA=LTA+Delta, where Delta is an empirical parameter.

[0014] According to a preferred embodiment, the cervical posture monitoring method also includes the following steps: based on the first calculation formula, the second calculation formula and the third calculation formula, the first mean LTA1, the second mean LTA2, the first filtered data FD1, the second filtered data FD2, the first dynamic threshold DTA1 and the second dynamic threshold DTA2 are updated in an interval setting period manner; when the first filtered data FD1 is less than the first dynamic threshold DTA1 and the second filtered data FD2 is greater than the second dynamic threshold DTA2, a first alarm data is generated; or when the second filtered data FD2 is less than the second dynamic threshold DTA2 and the first filtered data FD1 is greater than the first dynamic threshold DTA1, a first alarm data is generated.

[0015] According to a preferred embodiment, the data collector includes at least an electrode patch, a first bending sensor and a second bending sensor, and the first bending sensor and the second bending sensor can be arranged on the first surface of the electrode patch in a manner that the distance between the first bending sensor and the electrode patch is greater than the distance between the second bending sensor and the electrode patch, wherein: the second surface of the electrode patch is configured to have a sticky working mode, so that the electrode patch can fit on the back of the user's neck.

[0016] According to a preferred embodiment, the bending data also includes the real-time bending curvature m of the cervical spine, and the cervical spine posture monitoring method also includes the following steps: configuring a display terminal for outputting and displaying the real-time bending curvature m, so that when the user switches his cervical spine posture from the abnormal posture to the standard posture in response to the first alarm data, he can clearly understand the difference between the current cervical spine posture and the standard posture based on the real-time bending curvature m, and generate second alarm data when the time the user is in the standard posture is less than a set threshold.

[0017] The present invention also provides a cervical vertebra posture monitoring system based on a flexible bending sensor, comprising at least: a data collector attached to the back of the user's neck to obtain cervical vertebra bending data; a processor, when the cervical vertebra posture is determined to be in an abnormal posture based on the bending data, generating first alarm data to remind the user; the data collector at least includes a device for collecting the first data RAW1 n+1 The first bending sensor and the second data RAW2 for collecting n+1 The second bending sensor of the data collector is configured to generate the first data RAW1 when the cervical vertebra is bent in the first direction. n+1 Increase and the second data RAW2 n+1 decreases, or when the cervical vertebra is bent in the second direction, the first data RAW1 n+1 Reduce and the second data RAW2 n+1 Increase; the first alarm data generated by the processor based on the first data RAW1 n+1 and the second data RAW2 n+1 Generated when the commonly determined judgment conditions are met.

[0018] According to a preferred embodiment, the processor is configured to determine the determination condition in the following manner: based on the first calculation formula, the first data RAW1 is respectively determined n+1 The first mean LTA1 and the second data RAW2 n+1 The second mean LTA2 of the first data RAW1 is determined based on the second calculation formula; n+1 The first filtered data FD1 and the second data RAW2 after filtering n+1 The second filtered data FD2 after the filtering process is used to determine the first dynamic threshold DTA1 and the second dynamic threshold DTA2 based on the third calculation formula.

[0019] According to a preferred embodiment, the cervical posture monitoring system also includes a data sampling circuit connected to the data collector, which includes at least an analog-to-digital converter and a voltage follower. The data collector and the data sampling circuit are connected in the following manner: the voltage follower is arranged in series between the data collector and the analog-to-digital converter to reduce the influence of the input impedance of the analog-to-digital converter on data sampling.

[0020] The present invention also provides a sensor arrangement method for cervical spine posture monitoring, which at least includes: an electrode patch is used as a supporting substrate, and a first bending sensor and a second bending sensor are both arranged on the electrode patch; the first bending sensor and the second bending sensor can be arranged on the first surface of the electrode patch in an overlapping manner; wherein, the first bending sensor and the second bending sensor overlap with each other means that: one surface of each of the first bending sensor and the second bending sensor is bonded to each other so that the two constitute an integral structure that works synchronously.

[0021] According to a preferred embodiment, based on the first calculation formula, the second calculation formula and the third calculation formula, the first mean LTA1, the second mean LTA2, the first filtered data FD1, the second filtered data FD2, the first dynamic threshold DTA1 and the second dynamic threshold DTA2 are updated in an interval setting period manner; when the second filtered data FD2 is less than the second dynamic threshold DTA2 and the first filtered data FD1 is greater than the first dynamic threshold DTA1, the first alarm data is generated.

[0022] According to a preferred embodiment, the distance between the first bending sensor and the skin of the back of the neck is greater than the distance between the second bending sensor and the skin of the back of the neck, so that the first bending sensor can be used to collect the first data RAW1 n+1 The second bending sensor can be used to collect the second data RAW2 n+1 .

[0023] According to a preferred embodiment, the first bending sensor and the second bending sensor are attached to each other back to back to form a whole for use in measuring the degree of bending of the cervical spine in the forward and backward directions.

[0024] According to a preferred embodiment, when the cervical vertebra is bent in a first direction, the first data RAW1 n+1 Increase and the second data RAW2 n+1 decreases, or when the cervical vertebra is bent in the second direction, the first data RAW1 n+1 Reduce and the second data RAW2 n+1 Increase.

[0025] According to a preferred embodiment, a data sampling circuit is connected to both the first bending sensor and the second bending sensor, and the data sampling circuit is capable of outputting a resistance value of the first bending sensor or the second bending sensor.

[0026] According to a preferred embodiment, the data sampling circuit includes at least an analog-to-digital converter and a voltage follower, and the voltage follower is arranged in series between the data collector and the analog-to-digital converter 4a, wherein the output end of each of the first bending sensor and the second bending sensor is connected to the input end of the voltage follower, and the output end of the voltage follower is connected to the input end of the analog-to-digital converter to output the resistance value through the output end of the analog-to-digital converter.

[0027] According to a preferred embodiment, the processor is connected to the data sampling circuit via a dual-path bending sensor amplification module, and the resistance value signal output by the data sampling circuit can be placed to the required amplitude value through the dual-path bending sensor amplification module. The resistance value signal amplified to the set amplitude value is processed in the processor to obtain the degree of curvature of the spine.

[0028] According to a preferred embodiment, a power management module, a vibration reminder LED module and a low-power Bluetooth module are all connected to the processor, the power management module is used to power each electronic module, and the vibration reminder LED module is used to remind the user by vibrating or flashing when the spine is in an abnormal state.

[0029] According to a preferred embodiment, a data resetting module is connected to the processor and is used to reset the data in the processor to zero so as to perform multiple measurements for different users.

[0030] Beneficial technical effects of the present invention: The present invention utilizes a flexible bending sensor with the low power consumption characteristics of an accelerometer. This sensor, when monitoring the cervical spine, is immune to errors caused by the human torso not aligning with the line of gravity, while also being easy to use and carry. Furthermore, the accuracy of cervical spine abnormality assessment can be greatly improved by using the judgment criteria determined by the first and second data. Under experimental conditions, the present invention achieved 100% accuracy in cervical spine abnormality assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 Schematic diagram of the preferred docking structure of the first bending sensor and the second bending sensor of the present invention;

[0032] Figure 2 It is a structural diagram of a preferred data sampling circuit of the present invention;

[0033] Figure 3 is a schematic diagram of the modular structure of the preferred cervical vertebra posture monitoring system of the present invention; and

[0034] Figure 4 It is a schematic diagram of the preferred cervical spine of the present invention in a standard posture.

[0035] Reference Signs List

[0036] 1: Electrode patch 2: First bending sensor 3: Second bending sensor

[0037] 4: Data sampling circuit 5: Processor 6: Dual-channel bending sensor amplification module

[0038] 7: Power management module 8: Vibration reminder LED module 9: Low power Bluetooth module

[0039] 10: Data reset module 11: Display terminal 1a: Second surface

[0040] 1b: First surface 4a: Analog-to-digital converter 4b: Voltage follower

[0041] α: Head bending angle DETAILED DESCRIPTION

[0042] The following is a detailed description with reference to the accompanying drawings.

[0043] like Figure 1 As shown, the present invention provides a cervical posture monitoring system based on a flexible bending sensor, which at least includes a data collector having an electrode patch 1, a first bending sensor 2, and a second bending sensor 3. The electrode patch 1 is used as a supporting substrate, and the first bending sensor 2 and the second bending sensor 3 are both arranged on the electrode patch 1. The electrode patch 1 is sticky, and the first bending sensor 2 and the second bending sensor 3 can monitor the degree of curvature of the cervical spine by sticking the electrode patch 1 on the back of the human neck. The curvature data of the cervical spine can be obtained by sticking the data collector on the back of the user's neck. The curvature data at least includes the first data RAW1 n+1 and the second data RAW2 n+1 . Specifically, the shape of the electrode patch 1 is defined by a long strip, and has a second surface 1a and a first surface 1b. The second surface 1a is configured to have a sticky working mode, so that the second surface 1a can be attached to the back of the human neck. For example, double-sided tape can be provided on the second surface 1a to make the second surface 1a sticky. The resistance of each of the first bending sensor 2 and the second bending sensor 3 can increase as the degree of bending increases. For example, the first bending sensor 2 and the second bending sensor 3 can adopt a flexible bending sensor from SpectraSybol, which is a passive resistive sensor made by evenly coating a conductive material on the surface of a flexible substrate, so that it can withstand bending, vibration, and hot and cold shocks. When the conductive material coated on the surface of the flexible substrate is stretched, the gap increases, thereby increasing its resistance.

[0044] Preferably, the first bend sensor 2 and the second bend sensor 3 can be arranged on the first surface 1b of the electrode patch 1 such that the distance between the first bend sensor 2 and the electrode patch 1 is greater than the distance between the second bend sensor 3 and the electrode patch 1. Specifically, the shapes of the first bend sensor 2 and the second bend sensor 3 can be the same as the shape of the electrode patch 1, so that the first bend sensor 2 and the second bend sensor 3 can be arranged on the first surface 1b of the electrode patch 1 in an overlapping manner. The overlapping of the first bend sensor 2 and the second bend sensor 3 means that one surface of each of the first bend sensor 2 and the second bend sensor 3 is bonded to each other so that the two form a synchronously operating integral structure. Since the first bend sensor 2 or the second bend sensor 3 can only measure the degree of bending in a single direction when used alone, the present invention can measure the degree of bending in both the forward and backward directions of the cervical spine by bonding the first bend sensor 2 and the second bend sensor 3 back to back to form a whole. When the cervical spine is tilted forward or backward so that the head deflection angle is greater than a set angle, the cervical spine posture is determined to be abnormal. For example, the set angle can be 30°. When the cervical spine is bent in a first direction, the first data RAW1 n+1 Increase and the second data RAW2 n+1 decreases, or when the cervical vertebra is bent in the second direction, the first data RAW1 n+1 Reduce and the second data RAW2 n+1 Increase. For example, Figure 1 As shown, the first direction refers to the direction in which the cervical spine leans forward. The second direction refers to the direction in which the cervical spine leans backward. The distance between the first bending sensor 2 and the skin of the back of the neck is greater than the distance between the second bending sensor 3 and the skin of the back of the neck, so that the first bending sensor 2 can be used to collect the first data RAW1 n+1 The second bending sensor 3 can be used to collect the second data RAW2 n+1 When the cervical spine leans forward, the first bending sensor 2 is compressed and the second bending sensor 3 is stretched. The resistance value of the second bending sensor 3 can be used to determine the degree of curvature of the cervical spine in the forward direction. When the cervical spine leans backward, the first bending sensor 2 is stretched and the second bending sensor 3 is compressed. The resistance value of the first bending sensor 2 can be used to determine the degree of curvature of the cervical spine in the backward direction.

[0045] Preferably, Figure 2As shown, the cervical posture monitoring system also includes a data sampling circuit 4. The data sampling circuit 4 is connected to both the first bending sensor 2 and the second bending sensor 3, so that the data sampling circuit 4 can output the resistance value of the first bending sensor 2 or the second bending sensor 3. Specifically, the data sampling circuit 4 includes at least an analog-to-digital converter 4a and a voltage follower 4b. The voltage follower 4b is arranged in series between the data acquisition unit and the analog-to-digital converter 4a. For example, the output ends of the first bending sensor 2 and the second bending sensor 3 are each connected to the input end of the voltage follower 4b, and the output end of the voltage follower 4b is connected to the input end of the analog-to-digital converter 4a, and the resistance value can be output through the output end of the analog-to-digital converter 4a. By connecting the voltage follower 4b in series in the circuit composed of the first bending sensor 2, the second bending sensor 3 and the analog-to-digital converter 4a, the influence of the input impedance of the analog-to-digital converter 4a on data sampling can be reduced, so that the output impedance is infinitely close to zero.

[0046] Preferably, Figure 3 As shown, the cervical spine posture monitoring system also includes a processor 5 and a dual-path bending sensor amplification module 6. The processor 5 is connected to the data sampling circuit 4 via the dual-path bending sensor amplification module 6. The resistance value signal output by the data sampling circuit can be adjusted to a desired amplitude value by the dual-path bending sensor amplification module 6. After the resistance value signal is amplified to the set amplitude value, it is processed in the processor 5 to obtain the degree of spinal curvature. The data processed by the processor 5 can be transmitted to a mobile device such as a mobile phone or computer. For example, the processor 5 can use an nRF52832 chip.

[0047] Preferably, the cervical spine posture monitoring system also includes a power management module 7, a vibration reminder LED module 8, and a low-power Bluetooth module 9. The power management module 7, the vibration reminder LED module 8, and the low-power Bluetooth module 9 are all connected to the processor 5. The power management module 7 is used to power the various electronic modules. The vibration reminder LED module 8 is used to alert the user by vibrating or flashing when the spine is in an abnormal state. The low-power Bluetooth module 9 is used to transmit data processed by the processor 5 to a mobile device, such as a computer.

[0048] Preferably, the cervical vertebra posture monitoring system further includes a data reset module 10 connected to the processor 5. The data reset module is used to reset the data in the processor 5 to zero, thereby facilitating multiple measurements for different users. For example, if the user of the cervical vertebra posture monitoring system needs to be changed from a first patient to a second patient, the data reset module 10 can be used to clear all data related to the first patient in the cervical vertebra posture monitoring system to prevent interference with the second patient.

[0049] Example 2

[0050] This embodiment is a further improvement of embodiment 1, and repeated contents will not be repeated here.

[0051] Preferably, the present invention further provides a cervical vertebra posture monitoring method based on a flexible bending sensor, comprising at least the following steps:

[0052] S1: Obtain the first data RAW1 collected by the first bending sensor 2 at the current moment n+1 , and the second data RAW2 collected by the second bending sensor 3 at the current moment n+1 .

[0053] Specifically, the data sampling circuit 4 can continuously acquire the first data RAW1 according to the set sampling frequency. n+1 and the second data RAW2 n+1 The sampling frequency of the data sampling circuit 4 can be determined according to actual needs, for example, the sampling frequency can be set to 100 Hz. n+1 and the second data RAW2 n+1 The data can be transmitted to the processor 5 via the data sampling circuit 4 so as to be processed.

[0054] S2: Based on the first data RAW1 n+1 and the second data RAW2 n+1 The first alarm data is generated when the commonly determined determination condition is satisfied, wherein the determination of the determination condition comprises at least the following steps:

[0055] S20: Based on the first data RAW1 n+1 Determine the first mean LTA1 based on the second data RAW2n +1 A second mean LTA2 is determined.

[0056] Specifically, the first calculation formula of the first mean LTA1 and the second mean LTA2 is: Among them, LTA n+1 Indicates the average value of the first data or the second data up to the current moment, LTA n Represents the average value of the first data or the second data up to the previous moment. The current moment and the previous moment can be determined according to the sampling frequency or number of samples of the data sampling circuit 4. For example, when the sampling frequency is A, that is, the number of samples per second is A, then the previous moment refers to the second before the current moment.

[0057] S21: Based on the first data RAW1 n+1 Determine the first filtered data FD1 after filtering, based on the second data RAW2 n+1 The second filtered data FD2 after filtering is determined.

[0058] Specifically, the filtering process can be performed by a filter. For example, the processor 5 can be provided with an IIR filter in an integrated manner, and the first data RAW1 can be filtered by the IIR filter. n+1 and the second data RAW2 n+1 The first order filtering process. The second calculation formula of the first filtering data FD1 and the second filtering data FD2 is: FD n+1 =FD n *(β-1)+RAW n+1 *β, where FD n+1 Indicates the filtered data of the first data or the second data at the current moment. n Indicates the filtered data of the first data or the second data at the previous moment. β is the filter coefficient, and its value can be set to 0.01.

[0059] S22: Determine a first dynamic threshold DTA1 based on the first average value LTA1, and determine a second dynamic threshold DTA2 based on the second average value LTA.

[0060] Specifically, the third calculation formula for the first dynamic threshold DTA1 and the second dynamic threshold DTA2 is: DTA = LTA + Delta. Due to the differences between the first bend sensor 2 and the second bend sensor 3, the first dynamic threshold DTA1 and the second dynamic threshold DTA2 must be calculated separately for each. For example, if the first dynamic threshold DTA1 corresponds to the first bend sensor 2, when calculating the first dynamic threshold DTA1, DTA1 = LTA1 + Delta1. If the second dynamic threshold DTA2 corresponds to the second bend sensor 3, when calculating the second dynamic threshold DTA2, DTA2 = LTA2 + Delta2. Delta is an empirical parameter that can be set based on actual conditions. For example, both Delta1 and Delta2 can be set to 1000.

[0061] S3: Based on the first, second, and third calculation formulas, the first average value LTA1, the second average value LTA2, the first filtered data FD1, the second filtered data FD2, the first dynamic threshold value DTA1, and the second dynamic threshold value DTA2 are updated at set intervals. First alarm data is generated when the distance between the first bend sensor 2 and the skin on the back of the neck is less than the distance between the second bend sensor 3 and the skin on the back of the neck, the first filtered data FD1 is less than the first dynamic threshold value DTA1, and the second filtered data FD2 is greater than the second dynamic threshold value DTA2. Alternatively, first alarm data is generated when the distance between the first bend sensor 2 and the skin on the back of the neck is greater than the distance between the second bend sensor 3 and the skin on the back of the neck, the second filtered data FD2 is less than the second dynamic threshold value DTA2, and the first filtered data FD1 is greater than the first dynamic threshold value DTA1.

[0062] Specifically, the set period can be determined according to the sampling frequency of the data sampling circuit 4. For example, the set period can be set to 1 second. The processor 5 can be configured to complete the above processing and generate the first alarm data. The generated first alarm data can be transmitted to the vibration reminder LED module 8, thereby triggering the vibration reminder LED module 8 to vibrate or flash. The cervical vertebra posture monitoring system of the present invention can at least produce the following technical effects: First, it is small in size and easy to carry. The system uses a small circuit board and electrodes with sensors attached, which can be easily worn and stored for use at any time. Second, it can detect changes in the user's cervical vertebra posture in real time, and provide real-time reminders for bad cervical vertebra postures, which is beneficial to protecting the user's cervical vertebra health and preventing the formation of cervical spondylosis. Third, compared with the medical cervical vertebra posture determination system, the cost of this system is greatly reduced.

[0063] Example 3

[0064] This embodiment is a further improvement of the above embodiment, and repeated contents will not be repeated here.

[0065] Preferably, the cervical vertebra posture monitoring system based on the flexible bending sensor also includes a display terminal 11. When the processor 5 generates the first alarm data, the display terminal 11 is configured to output and display the cervical vertebra bending data in the form of text, images or sounds. The cervical vertebra bending data also includes the real-time bending curvature m of the cervical vertebra. Displaying the real-time bending curvature m of the cervical vertebra through the display terminal 11 can allow the user to intuitively know the current posture of his cervical vertebra, and then enable the user to clearly understand the difference between the current cervical vertebra posture and the standard posture based on the real-time bending curvature m when switching his cervical vertebra posture from an abnormal posture to a standard posture in response to the first alarm data. Specifically, the first bending sensor 2 and the second bending sensor 3 can be docked with each other through an adhesive layer. The thickness of the adhesive layer is t. The real-time bending curvature m of the cervical vertebra can be calculated by the fourth calculation formula: When the first bending sensor 2 is closer to the neck skin, ΔR1 represents the resistance change of the second bending sensor 3 relative to the previous moment, and ΔR2 represents the resistance change of the first bending sensor 2 relative to the previous moment. s Represents the sensitivity coefficient of the first bending sensor 2 and the second bending sensor 3. R represents the initial resistance value of the first bending sensor 2 and the second bending sensor 3 in the unbent state. Outputting and displaying the bending data through the display terminal 11 can at least achieve the following technical effects: First, the cervical vertebra posture monitoring system of the prior art can remind the user to make timely changes by means of an alarm when it detects excessive bending and deformation of the human spine. At this time, when changing the cervical vertebra posture, the user will follow common neck twisting movements such as shaking the head left and right, up and down, etc. In this process, the user cannot clearly understand the difference between the adjusted cervical vertebra posture and the standard cervical vertebra posture. For example, Figure 4 As shown, the human cervical spine is composed of C1 to C7 vertebrae, and the C7 vertebra at the bottom is clinically used as a positioning marker. When the head bending angle α is equal to 30°, the cervical spine is in a standard posture. When the head bending angle α is greater than or less than 30°, the cervical spine is in an abnormal posture. When the user is in different sitting postures and changes the cervical spine posture by twisting the neck, the head bending angle α may be much less than or much greater than 30°, causing the cervical spine to remain in an over-bent state, thereby failing to achieve the purpose of correcting the cervical spine posture. The present invention enables the user to clearly understand the current posture of their cervical spine by outputting and displaying the cervical spine bending data in real time, and then adjust and change it according to the current posture, and finally enable the user to adjust the cervical spine to the standard posture, thereby achieving the technical effect of correcting the cervical spine posture. Secondly, when the user dynamically adjusts the cervical spine posture according to the bending data, the user needs to go through multiple posture changes before the spinal posture can be adjusted to the standard posture. This process is a slow and repetitive process, so that the user can fully relieve the fatigue of the cervical spine during this process.

[0066] Preferably, when the processor 5 generates first alarm data to trigger the user to adjust their cervical spine posture to a standard posture based on the curvature data displayed on the display terminal 11, the processor 5 is configured to generate second alarm data when the user maintains the standard posture for less than a set threshold. The second alarm data can be transmitted to the vibration reminder LED module 8, thereby triggering the vibration reminder LED module 8 to vibrate or flash. The second alarm data can force the user to maintain their cervical spine posture in the standard posture for a long time, thereby strengthening the user's cervical spine posture adjustment process and achieving the purpose of correcting the cervical spine posture by forming muscle memory.

[0067] It should be noted that the above-described specific embodiments are illustrative only. Those skilled in the art may devise various solutions based on the disclosure of the present invention, and such solutions fall within the scope of the present invention and are intended to be protected by the present invention. Those skilled in the art should understand that the present description and its accompanying drawings are intended to be illustrative only and are not intended to limit the scope of the claims. The scope of protection of the present invention is defined by the claims and their equivalents.

Claims

1. A sensor arrangement method for cervical spine posture monitoring, characterized in that: At least: The electrode patch (1) serves as a carrier substrate; a first bending sensor (2) and a second bending sensor (3) are both arranged on the electrode patch (1); a data sampling circuit (4) is connected to both the first bending sensor (2) and the second bending sensor (3); the data sampling circuit (4) comprises at least an analog-to-digital converter (4a) and a voltage follower (4b); the voltage follower (4b) is arranged in series between a data collector and the analog-to-digital converter (4a) to reduce the influence of the input impedance of the analog-to-digital converter (4a) on data sampling; The first bending sensor (2) and the second bending sensor (3) capable of measuring the degree of bending in a single direction can be arranged on the first surface (1b) of the electrode patch (1) in a manner overlapping with each other; wherein, The first bending sensor (2) and the second bending sensor (3) overlap with each other, which means that one surface of each of the first bending sensor (2) and the second bending sensor (3) is bonded back to back to form an integral structure that works synchronously. The distance between the first bending sensor (2) and the skin of the back of the neck is greater than the distance between the second bending sensor (3) and the skin of the back of the neck, so that the first bending sensor (2) can be used to collect the first data RAW1 n+1 The second bending sensor (3) can be used to collect second data RAW2 n+1 ; When the cervical vertebra is bent in the first direction, the first data RAW1 n+1 Increase and the second data RAW2 n+1 decreases, or when the cervical vertebra is bent in the second direction, the first data RAW1 n+1 Reduce and the second data RAW2 n+1 Increase.

2. The sensor arrangement method for cervical vertebra posture monitoring according to claim 1, characterized in that: Based on the first calculation formula, the second calculation formula and the third calculation formula, the first average value LTA1, the second average value LTA2, the first filtered data FD1, the second filtered data FD2, the first dynamic threshold value DTA1 and the second dynamic threshold value DTA2 are updated in an interval setting periodic manner. The first calculation formula is: Among them, LTA n+1 Indicates the average value of the first data or the second data up to the current moment, LTA n Indicates the average value of the first data or the second data up to the previous moment; The second calculation formula is PD n+1 =FD n *(β-1)+RAW n+1 *β, where FD n+1 Indicates the filtered data of the first data or the second data at the current moment, FD n represents the filtered data of the first data or the second data at the previous moment, and β is the filter coefficient; The third calculation formula is DTA=LTA+Delta, where Delta is an empirical parameter; When the first filtered data FD1 is less than the first dynamic threshold DTA1 and the second filtered data FD2 is greater than the second dynamic threshold DTA2, the first alarm data is generated; or when the second filtered data FD2 is less than the second dynamic threshold DTA2 and the first filtered data FD1 is greater than the first dynamic threshold DTA1, the first alarm data is generated.

3. The sensor arrangement method for cervical vertebra posture monitoring according to claim 2, characterized in that: The first bending sensor (2) and the second bending sensor (3) are attached to each other back to back to form a whole for use in measuring the degree of bending of the cervical spine in the forward and backward directions.

4. The sensor arrangement method for cervical vertebra posture monitoring according to claim 3, characterized in that: The data sampling circuit (4) is capable of outputting the resistance value of the first bending sensor (2) or the second bending sensor (3).

5. The sensor arrangement method for cervical vertebra posture monitoring according to claim 4, characterized in that: The output ends of the first bending sensor (2) and the second bending sensor (3) are respectively connected to the input end of the voltage follower (4b), and the output end of the voltage follower (4b) is connected to the input end of the analog-to-digital converter (4a) so as to output the resistance value through the output end of the analog-to-digital converter (4a).

6. The sensor arrangement method for cervical vertebra posture monitoring according to claim 5, characterized in that: The processor (5) is connected to the data sampling circuit (4) via a dual-path bending sensor amplifying module (6); the resistance value signal output by the data sampling circuit (4) can be amplified to a desired amplitude value by the dual-path bending sensor amplifying module (6); the resistance value signal amplified to the set amplitude value is processed in the processor (5) to obtain the degree of curvature of the cervical vertebra.

7. The sensor arrangement method for cervical vertebra posture monitoring according to claim 6, characterized in that: A power management module (7), a vibration reminder LED module (8), and a low-power Bluetooth module (9) are all connected to the processor (5); the power management module (7) is used to supply power to each electronic module; and the vibration reminder LED module (8) is used to remind a user by vibrating or flashing when the cervical spine is in an abnormal state.

8. The sensor arrangement method for cervical vertebra posture monitoring according to claim 7, characterized in that: The data reset module (10) is connected to the processor (5) and is used to reset the data in the processor (5) to zero so as to enable multiple measurements to be performed for different users.

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