Measurement and calculation method and device for idiopathic hand tremor and skin electrical stimulation equipment of idiopathic hand tremor

Abstract

The invention provides a method and a device for measuring and calculating idiopathic hand tremor and skin electrical stimulation equipment thereof. The measuring and calculating method comprises the following steps: acquiring a hand tremor signal and storing the hand tremor signal; and after the acquisition is completed, carrying out feature analysis on the hand vibration signal to obtain a hand vibration frequency, namely a measurement result, and then carrying out signal conversion on the hand vibration frequency. According to the method for measuring and calculating the idiopathic hand tremor, hand tremor data collection and data analysis can be achieved by holding the mobile device, and the measurement and calculation of the idiopathic hand tremor are achieved by fully utilizing a built-in sensor and a built-in communication interface of the mobile device such as a smart phone in the prior art.

Description

Technical Field

[0001] The present invention belongs to the field of measurement technology, and in particular, relates to a measurement method and device for idiopathic hand tremor and an electrical skin stimulation device thereof. Background Art

[0002] Essential tremor, also known as primary tremor, is an autosomal dominant genetic disease, with clinical manifestations mainly as involuntary tremors of the upper and lower limbs or head and face. There is evidence that essential tremor or senile tremor is related to aging, and the probability of progression to Parkinson's disease in patients aged ≥ 65 years with essential tremor increases by 4 times.

[0003] The incidence of essential tremor is about 0.3% to 1.7%, and it increases with age. It is 5.5% in people over 40 years old and about 10.2% in people over 65 years old. Essential tremor tends to run in families, and 30% to 50% of patients have family members who have suffered from essential tremor. Patients with a family history have an earlier age of onset, and most people will develop the disease before the age of 20. Patients without a family history generally develop the disease after the age of 40.

[0004] At present, the etiology of essential tremor is not clear, and there is a lack of effective objective evaluation methods for essential tremor. The current methods for measuring the severity of essential tremor still rely on clinical symptoms, physical examinations and tremor scales. However, the degree and frequency of tremors in patients during physical examinations are easily affected by emotional and psychological factors, which leads to differences in test results. The scale evaluation also has a certain degree of subjectivity. Most of the devices for measuring essential tremor in the prior art have extremely high requirements for the user's arm posture during data collection, and the signal acquisition, analysis, and encoding work in the measurement devices in the prior art are all integrated in an independent wearable device, which has many components, complex electrical design, and poor detection effect. In addition, the wearable device has high requirements for the user's arm posture during data collection, and the user needs to maintain an arm posture for a long time, which can easily cause user fatigue and discomfort and affect data accuracy.

[0005] In view of this, the present invention is proposed. Summary of the invention

[0006] The first purpose of the present invention is to provide a method for measuring idiopathic hand tremor. The method obtains the hand tremor frequency by collecting a large number of hand tremor signals and performing feature analysis on the hand tremor signals. The detection result is accurate and the analysis process is fast.

[0007] The second purpose of the present invention is to provide a measuring device used in a method for measuring idiopathic hand tremor. The measuring device can realize hand tremor signal data collection and analysis through mobile devices in the prior art, such as smart phones, etc., fully utilizing the built-in sensors and communication interfaces of the mobile devices and deploying the tremor feature evaluation algorithm to the mobile terminal with rich computing resources, thereby reducing the demand for hardware resources of the measuring device and improving the system integration. The device of the present invention can enable the user to collect data in a natural posture, and can flexibly measure the user's hand tremor characteristics to achieve better data collection and analysis effects.

[0008] The third purpose of the present invention is to provide a wearable transcutaneous electrical stimulation device used by the above-mentioned measuring device, which controls the wearable transcutaneous electrical stimulation device to generate stimulation instructions based on the instructions obtained in the above-mentioned measuring method, and the user can independently adjust the stimulation intensity and duration, so that the median nerve and radial nerve are alternately electrically stimulated at a specific frequency and amplitude, thereby improving the tremor of the hand.

[0009] In order to achieve the above-mentioned purpose of the present invention, the following technical solutions are particularly adopted: A method for measuring essential hand tremor comprises the following steps: Collecting hand tremor signals and storing the hand tremor signals; After the acquisition is completed, the hand tremor signal is subjected to feature analysis to obtain the hand tremor frequency, i.e., the measurement result, and then the hand tremor frequency is subjected to signal conversion; The feature analysis step is as follows: projecting the hand tremor signal to obtain a X 、a Y and a Z Then take the modulus and get G X , G Y and G Z ; After taking the module, the G X , G Y and G Z With the a X 、a Y and a Z Subtracting them, we get the hand tremor acceleration signal b after removing the influence of gravity. X 、b Y and b Z ; Then, the hand tremor acceleration signal b X 、b Y and b Z The hand tremor frequency is obtained by performing frequency analysis.

[0010] In the present invention, the user holds the mobile device in a handheld manner, and the user needs to hold the handheld mobile device stably and naturally during the collection. If the mobile device is a smart phone, the handheld mobile device is held in such a way that the screen direction of the phone should be consistent with the direction of the palm, that is, the screen of the smart phone faces upward, and the back of the smart phone is close to the palm so that the built-in three-axis acceleration sensor of the smart phone can accurately collect the user's hand shaking data. For users who have difficulty holding, the handheld mobile device can also be fixed to the user's palm by using an auxiliary made of fabric or other materials; after the collection starts, the user should maintain a stable holding posture for 30s-1min, during which the three-axis acceleration sensor should collect hand shaking signals at a sampling rate of at least 30Hz, and after the collection is completed, the handheld mobile device can store the hand shaking signals in the memory. Therefore, the measurement method provided by the present invention is intended to enable users to make full use of existing equipment and collect data in a more natural way. Therefore, there are no excessive restrictions on the user's holding posture, which can well avoid user fatigue and thus affect data collection.

[0011] The handheld mobile device may include but is not limited to a smart phone.

[0012] Preferably, as a further specific implementation, the method for projecting the hand shaking signal is: firstly taking an average value of the hand shaking signal, and then taking the average value as the gravity acceleration to project in its corresponding orthogonal system to obtain a X 、a Y and a Z .

[0013] Preferably, as a further specific implementation, the frequency analysis method is any one of discrete Fourier transform method, fast Fourier transform method, wola filter analysis method and bandpass filter group analysis method.

[0014] Preferably, as a further specific implementation, the frequency analysis method is a fast Fourier transform method.

[0015] Preferably, as a further specific implementation, the steps of the fast Fourier transform method are: Set sampling frequency and analysis window length and FFT length , where the sampling frequency and the analysis window length and FFT length Equal, you can output ; in The length is The complex spectrum of ; Then, W X , WY and W Z Modulo, we get the W X , W Y and W Z The amplitude response of The maximum value in the amplitude response is then taken as the patient's hand tremor intensity. ,Right now ; Index at this time For the The subscript of ; The index value is taken as the hand tremor frequency of the patient. ,Right now .

[0016] After the data collection is completed, the present invention uses the built-in MCU integrated circuit of the handheld mobile device to analyze the collected hand tremor signal, and can well convert it into instructions for controlling the operation of the stimulation device. In the analysis process, it is necessary to ensure that the posture of the collection device remains stable, that is, before the data analysis is performed, 2-15Hz will be set as a reasonable range. Therefore, when the collected hand tremor signal is at 2-15Hz, it is valid data. If the data is invalid, it needs to be re-collected. When the data is judged to be in a reasonable range, the data will be subjected to frequency analysis. The frequency analysis method can be any one of discrete Fourier transform method, fast Fourier transform method, wola filter analysis method and bandpass filter group analysis method, which can obtain the hand tremor frequency according to the hand tremor signal analysis result. Then the integrated circuit built into the mobile device will automatically evaluate whether the hand tremor frequency is within the range of 2-15Hz where stimulation instructions need to be generated. If it is within this range, the obtained hand tremor frequency will be The electrical stimulation is converted into stimulation instructions and provided to the wearable stimulation device, which then controls the wearable stimulation device to apply specific electrical stimulation to the radial nerve and median nerve in the user's wrist, thereby helping the user to reduce the tremor amplitude of his hand within a certain period of time.

[0017] Preferably, as a further specific implementation, the signal conversion step is to convert the hand tremor frequency into a stimulation instruction, wherein the stimulation instruction includes stimulation intensity, stimulation frequency and stimulation duration; wherein the stimulation frequency is the hand tremor frequency The stimulation intensity and duration are based on the hand tremor intensity. Make inferences.

[0018] Preferably, as a further specific implementation, the acquisition time for acquiring the hand shake signal is 30s-1min, and the sampling frequency is 30Hz-40Hz.

[0019] The present invention also provides a measuring device used in the method for measuring idiopathic hand tremor, comprising a handheld mobile device; the handheld mobile device comprises a sensor, a memory, an MCU integrated circuit and a data transmission interface built into the handheld mobile device.

[0020] The present invention also provides a wearable transcutaneous electrical stimulation device used by the measuring device, including a controller, a power supply, stimulation electrodes, a common electrode, an external interface and a fixing component for fixing the stimulation electrodes and the common electrode of the device.

[0021] Preferably, as a further specific implementation, the stimulation electrode and the common electrode are fixed to the user's wrist via the fixing assembly, wherein the stimulation electrode is fixed to the median nerve and the radial nerve.

[0022] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention provides a method for measuring idiopathic hand tremor. The method obtains the hand tremor frequency by collecting a large number of hand tremor signals and performing feature analysis on the hand tremor signals. The detection result is accurate and the analysis process is fast.

[0023] (2) The present invention provides a measuring device used in a method for measuring idiopathic hand tremor. The measuring device can collect and analyze hand tremor signal data through mobile devices in the prior art, such as smart phones, etc., making full use of the sensors and communication interfaces built into the mobile devices and deploying the tremor feature evaluation algorithm to the mobile terminal with rich computing resources, thereby reducing the demand for hardware resources of the measuring device and improving the integration of the measuring device. In addition, the device of the present invention can enable users to collect data in a natural posture, and can flexibly measure the user's hand tremor characteristics, thereby achieving better data collection and analysis effects.

[0024] (3) The present invention provides a wearable transcutaneous electrical stimulation device used in the above-mentioned measuring device. The wearable transcutaneous electrical stimulation device controls the wearable transcutaneous electrical stimulation device to generate stimulation instructions based on the instructions obtained in the above-mentioned measuring method, and the user can independently adjust the stimulation intensity and duration, so that the median nerve and radial nerve are alternately stimulated with a specific frequency and amplitude, thereby improving the tremor of the hand. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] By reading the detailed description of the preferred embodiment below, various other advantages and benefits will become clear to those of ordinary skill in the art. The accompanying drawings are only used for the purpose of illustrating the preferred embodiment and are not considered to be limitations of the present invention. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings.

[0026] Figure 1is a schematic flow chart of a method for measuring idiopathic hand tremor according to the present invention; Figure 2 A typical holding posture when the handheld mobile device is a smart phone in the device for measuring idiopathic hand tremor of the present invention; Figure 3 It is a schematic diagram of decomposition of a hand tremor signal with respect to a three-dimensional orthogonal space in which the handheld mobile device is located when the handheld mobile device is a smart phone in a method for measuring essential hand tremor of the present invention; Figure 4 is a structural diagram of the wearable transcutaneous electrical stimulation device of the present invention; Figure 5 A schematic diagram of wearing a wearable transcutaneous electrical stimulation device of the present invention; Figure 6 A typical stimulation pulse waveform output by a wearable transcutaneous electrical stimulation device of the present invention. DETAILED DESCRIPTION

[0027] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and specific embodiments, but those skilled in the art will understand that the embodiments described below are part of the embodiments of the present invention, rather than all of the embodiments, and are only used to illustrate the present invention, and should not be regarded as limiting the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0028] In order to more clearly explain the technical solution of the present invention, it is described in the form of specific embodiments below.

[0029] Example 1 See also Figure 1-5 , wherein the specific calculation process of the calculation method of the present invention is shown in 1; Optionally, the handheld mobile device may be, but is not limited to, a smart phone, etc.; Among them, Figure 2 As shown, the handheld mobile device in the present invention is a smart phone, and its typical holding posture when collecting hand shake signal data is as follows Figure 2 As shown; Optionally, the handheld mobile device is loaded with a calculation system for executing the calculation method, and the user manually opens the calculation system. Figure 2 When holding the mobile phone as shown, the screen direction of the mobile phone should be consistent with the direction of the palm. For users who have difficulty holding the mobile phone, an auxiliary fixing device made of fabric or other materials can be used to fix the handheld mobile device on the palm; After the acquisition begins, the user should maintain a stable holding posture for 30 seconds. During this period, the sensor built into the smartphone should be able to collect hand shaking signals at a sampling rate of at least 30 Hz and store the hand shaking signals in the built-in memory of the smartphone. The smartphone will analyze the characteristics of the collected hand tremor signals through the built-in MCU integrated circuit and convert them into instructions for controlling the operation of the stimulation device; In the process of feature analysis, we first determine whether the collected hand tremor signal is valid, that is, whether the hand tremor signal is within the range of 2Hz-15Hz. If it is valid, we can perform feature analysis on the hand tremor signal. First, we take the average value of the collected hand tremor signals, and then use the average value as the gravity acceleration to project it into the corresponding orthogonal system to obtain a X 、a Y and a Z The specific projection process is as follows: Figure 3 As shown; Then to a X 、a Y and a Z Take the modulus respectively, and the result obtained by projection is: ; Then the a X 、a Y and a Z With the obtained G X , G Y and G Z Subtract the hand tremor acceleration signal after removing the influence of gravity ,Right now ; Afterwards, the obtained Perform frequency analysis; When the WOLA analysis algorithm is used, the sampling rate of the sensor is set to 32 Hz and the analysis window length is , FFT length , then the output of the algorithm is ; in is a complex spectrum with a length of 16, and its corresponding frequency range is ; Respectively Modulo, that is ; The obtained model is the hand shaking signal at the frequency The amplitude response at ; Pick The maximum value among the two is taken as the patient's hand tremor intensity ,Right now ; And calculate the index of the hand shaking signal when it reaches the maximum amplitude response ,make

[0030] Take the index value as the patient's hand tremor frequency ,Right now ; At this point, the user can choose to upload the above hand tremor characteristic data to the cloud server for management; Optionally, the handheld mobile device uploads the tremor characteristics to a cloud server via Wi-Fi or cellular mobile data; Generate stimulation instructions and convert the hand tremor frequency obtained above The MCU integrated circuit in the smartphone converts the hand shaking frequency into The signal is converted into an instruction for controlling the operation of the stimulation device, and the instruction includes stimulation intensity, stimulation frequency and stimulation duration; wherein the stimulation frequency is determined by the hand tremor frequency The stimulation intensity and duration can be inferred from the hand tremor intensity, and the user can set the parameters of the stimulation intensity and duration by himself. At this time, the data transmission interface in the calculation device loaded with the calculation system is connected to the external interface of the wearable transcutaneous electrical stimulation device, and the calculation device transmits the stimulation instruction to the wearable transcutaneous electrical stimulation device through the data transmission interface; Wearable transcutaneous electrical stimulation devices such as Figure 4 As shown, each electrode pair in the wearable transcutaneous electrical stimulation device includes at least one stimulation electrode and one common electrode, and each electrode is connected to the controller through a circuit inside the wristband; Optionally, the wearable transcutaneous electrical stimulation device includes but is not limited to a human-computer interaction interface in the form of a display screen, buttons or knobs, and its functions include but are not limited to controlling the start of stimulation, controlling the end of stimulation, increasing the current intensity during stimulation, reducing the current intensity during stimulation, indicating the remaining power of the device, indicating the working status of the device, etc.; The wearing method of wearable transcutaneous electrical stimulation device is as follows Figure 5 As shown, when worn, the electrode pairs are fixed to the radial nerve and median nerve of the user through a wristband; The wearable transcutaneous electrical stimulation device includes an external interface, a controller and a power supply. When in use, the wearable transcutaneous electrical stimulation device receives stimulation instructions from a measuring device through an external interface, and after decoding by the controller, outputs stimulation pulses through stimulation electrodes, wherein one of the output pulse forms is as follows: Figure 6 As shown; like Figure 6The figure shows a typical stimulation pulse waveform. This waveform is a two-phase symmetrical square wave pulse, the duration of each phase is 300μs, the interval between the two phases is 50μs; the interval between two adjacent groups of pulses is gap, which is related to the hand tremor frequency. Negative correlation, calculated as:

[0031] The stimulation will end when the stimulation duration reaches the preset value or the user actively terminates it.

[0032] Therefore, it can be known that the method and device for measuring idiopathic hand tremor provided by the present invention and the wearable transcutaneous electrical stimulation device used therein can be well used to analyze the hand tremor characteristics of the user, and by applying specific electrical stimulation to the radial nerve and median nerve of the user's wrist, help the user reduce the amplitude of his hand tremor within a certain period of time. Wherein, the handheld mobile device can be a smart phone, etc., which should at least include a sensor, a memory, an MCU integrated circuit and a data transmission interface: the sensor collects the acceleration change within a period of time, and records the data in the memory, the MCU integrated circuit reads the data from the memory, and analyzes and processes it, and the analysis and processing algorithm can measure the user's hand tremor frequency, and evaluate the frequency in combination with the posture of holding the mobile device; further, the MCU integrated circuit generates an instruction for controlling the operation of the stimulator according to the measured hand tremor frequency and intensity, combined with the stimulation duration set by the user, and sends the instruction to the above-mentioned wearable transcutaneous electrical stimulation device through the data transmission interface, or uploads it to the cloud for management. The wearable transcutaneous electrical stimulation device should include at least one external interface, a controller, two sets of electrode pairs and a wristband structure for fixing the electrode pairs at a specific position on the user's wrist: the external interface is used to receive stimulation instructions from a handheld mobile device and send the instructions to the controller. After receiving the instructions, the controller decodes them and controls the corresponding electrodes to generate specific two-phase symmetrical stimulation pulses, thereby stimulating the radial nerve and median nerve in the user's wrist and reducing their idiopathic hand tremor.

[0033] 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 measuring idiopathic hand tremor, characterized in that: The following steps are involved: Collecting hand tremor signals and storing the hand tremor signals; After the acquisition is completed, the hand tremor signal is subjected to feature analysis to obtain the hand tremor frequency, and then the hand tremor frequency is subjected to signal conversion to obtain the measurement result; The feature analysis step is as follows: projecting the hand tremor signal to obtain a X 、a Y and a Z Then take the modulus and get G X , G Y and G Z ; After taking the module, the G X , G Y and G Z With the a X 、a Y and a Z Subtracting them, we get the hand tremor acceleration signal b after removing the influence of gravity. X , b Y and b Z ; Then, the hand tremor acceleration signal b X , b Y and b Z The hand tremor frequency is obtained by performing frequency analysis.

2. The method for calculating essential hand tremor according to claim 1, characterized in that: The method for projecting the hand shaking signal is: firstly take the average value of the hand shaking signal, and then use the average value as the gravity acceleration to project it in its corresponding orthogonal system to obtain a X 、a Y and a Z .

3. The method for measuring essential hand tremor according to claim 1, characterized in that: The frequency analysis method is any one of discrete Fourier transform method, fast Fourier transform method, wola filter analysis method and bandpass filter bank analysis method.

4. The method for measuring essential hand tremor according to claim 3, characterized in that: The frequency analysis method is the fast Fourier transform method.

5. The method for measuring essential hand tremor according to claim 4, characterized in that: The steps of the fast Fourier transform method are: Set sampling frequency and analysis window length and FFT length , where the sampling frequency and the analysis window length and FFT length Equal, you can output ; in The length is The complex spectrum of ; Then, W X , W Y and W Z Modulo, we get the W X , W Y and W Z The amplitude response of The maximum value in the amplitude response is then taken as the patient's hand tremor intensity. ,Right now ； Index at this time For the The subscript of ; The index value is taken as the hand tremor frequency of the patient. ,Right now .

6. The method for measuring essential hand tremor according to claim 5, characterized in that: The signal conversion step is to convert the hand tremor frequency into a stimulation instruction, wherein the stimulation instruction includes stimulation intensity, stimulation frequency and stimulation duration; wherein the stimulation frequency is the hand tremor frequency The stimulation intensity and duration are based on the hand tremor intensity. Make inferences.

7. The method for measuring essential hand tremor according to claim 1, characterized in that: The acquisition time of the hand shaking signal is 30s-1min, and the sampling frequency is 30Hz-40Hz.

8. A measuring device used in the method for measuring essential hand tremor according to any one of claims 1 to 7, characterized in that: It comprises a handheld mobile device; the handheld mobile device comprises a sensor, a memory, an MCU integrated circuit and a data transmission interface built into the handheld mobile device.

9. A wearable transcutaneous electrical stimulation device used in the measuring device according to claim 8, characterized in that: The device comprises a controller, a power supply, a stimulation electrode, a common electrode, an external interface and a fixing component for fixing the stimulation electrode and the common electrode of the device.

10. The wearable transcutaneous electrical stimulation device according to claim 9, characterized in that: The stimulation electrode and the common electrode are fixed on the user's wrist through the fixing component, wherein the stimulation electrode is fixed on the median nerve and the radial nerve.

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