KR20240007987A - Smart hand care system - Google Patents

Abstract

It relates to a smart hand care system that analyzes abnormalities in the wrist using nerve conduction signals measured on the muscle surface of the wrist or forearm and provides customized solutions based on the analysis results, wherein the nerve conduction measurement device is used to measure wrist or forearm A motion detection unit that detects movement and generates a motion detection signal; a first nerve conduction sensing unit that operates under the control of the control unit when the motion detection signal is greater than a preset reference motion value and is provided to measure the user's sensory nerve conduction signal a unit, and a device provided to measure a motor nerve conduction signal through a recording electrode installed on at least one of the palm, the back of the hand, and the fingers when the sensory nerve conduction signal measured through the first nerve conduction sensing unit is outside a preset reference nerve range. It includes a second nerve conduction sensing unit and is effective in preventing and managing wrist fatigue and diseases caused by office work, learning, and sports activities.

Description

Smart hand care system {Smart hand care system}

The present invention relates to a smart hand care system, and more specifically, a smart hand that analyzes whether there is an abnormality in the wrist using nerve conduction signals measured on the muscle surface of the wrist or forearm and provides a customized solution based on the analysis results. It's about the care system.

As computer technology develops in modern society, the use of computers increases, and mobile devices with computing functions such as smartphones and tablet PCs are gradually expanding their scope.

Among these, smartphones are especially widely used because they are convenient in that they allow users to access information and communication networks and use various services regardless of time and place.

However, people who use computers or smartphones for long periods of time develop various wrist diseases due to excessive use of the wrist.

Representative examples of these wrist diseases include carpal tunnel syndrome and Guyon syndrome, as shown in Figure 1, and are closely related to the median nerve and ulnar nerve, respectively.

Carpal tunnel syndrome, also called carpal tunnel syndrome (CTS), is when the carpal tunnel, a narrow passage formed by the bones and ligaments that make up the wrist, becomes narrow and the median nerve passing through it becomes compressed. It is a nerve compression disease that causes pain such as pain, numbness, and tingling in the fingers and hands.

In mild cases, this can be improved with simple injections, drug therapy, or fixing a splint on the wrist, but in severe cases, surgical methods must be used.

Therefore, various technologies have been proposed to prevent such wrist diseases.

For example, in Patent Document 1 below, there is a muscle provided on the user's arm that measures the muscle movement when the user clenches and opens the hand, converts the measured muscle movement into muscle information, and transmits it to the outside. An electromyography measurement system is disclosed that includes a measurement member and a muscle information management member that receives muscle information transmitted from the muscle measurement member and stores, manages, and displays the received muscle information.

For this reason, the electromyography measurement system of Patent Document 1 below can measure the electromyogram through a smartphone carried by the person while clenching a fist with the muscle measuring member, which is composed of a band, positioned on the arm, and is equipped with a separate electromyogram. You don't have to carry it around, you can go about your daily life while wearing the muscle measuring device on your arm, and you can check your muscle information accurately displayed on your smartphone.

However, the electromyography measurement system of Patent Document 1 below has the problem of not being able to measure accurate nerve conduction signals to detect carpal tunnel syndrome, and unnecessary resources are consumed by continuously extracting muscle information even when no special events occur in the muscles. There is a problem of consumption.

In addition, Patent Document 2 below includes (a) measuring an EMG signal using an electrical signal from the surface of the user's muscle detected by an electrode, (b) obtaining a pure EMG signal (m[n]) from the measured EMG signal. , and (c) analyzing muscle fatigue based on the obtained pure electromyogram signal (m[n]) and providing analysis results to the user. A method for analyzing muscle fatigue through electromyography measurement and a wearable device for performing the same. is presenting.

Through this, the method for analyzing muscle fatigue through electromyography measurement in Patent Document 2 below and the wearable device that performs the method perform analysis of muscle fatigue by classifying only the electrical signals generated by muscle movement from the electromyographic signals measured through electrodes. This has the effect of enabling a more accurate analysis of muscle fatigue.

However, the muscle fatigue analysis method through EMG measurement and the wearable device that performs the same in Patent Document 2 below only present a technology for removing noise including ECG signals from the measured EMG signals, and more precisely detect carpal tunnel syndrome. No additional information is provided to do this.

In addition, Patent Document 2 below only presents a technology that provides analysis information and alarms to the user only when the analyzed fatigue level is above a preset threshold to increase power efficiency, and provides muscle information only when a special event occurs in the muscle. It does not present any features that can prevent the problem of unnecessary resource consumption by extracting .

Republic of Korea Patent No. 10-1788457 (announced on October 19, 2017) Republic of Korea Patent No. 10-2151745 (announced on September 3, 2020)

The purpose of the present invention is to provide a smart hand care system that can prevent and manage wrist fatigue and diseases caused by office work, study, and sports activities.

Another purpose of the present invention is to provide a customized solution to the user by measuring nerve conduction signals in real time through an electromyography sensor attached to the user and analyzing the measured nerve conduction signals.

Another purpose of the present invention is to provide a smart hand care system that can prevent user wrist fatigue and disease in advance by more precisely analyzing wrist abnormalities.

Another object of the present invention is to provide a smart hand care system that can prevent unnecessary consumption of resources by measuring nerve conduction signals only when a special event occurs in the wrist.

In order to achieve this technical task, the smart hand care system according to an embodiment of the present invention uses nerve conduction signals measured through a nerve conduction measurement device to analyze whether the user terminal has an abnormality in the wrist, and provides a user-customized solution based on the analysis results. It is about a smart hand care system that provides.

In the present invention, the nerve conduction measurement device includes a motion detection unit that detects movement of the wrist or forearm and generates a motion detection signal, and is provided to measure the user's sensory nerve conduction signal when the motion detection signal is greater than a preset reference motion value. A first nerve conduction sensing unit, and if the sensory nerve conduction signal measured through the first nerve conduction sensing unit is outside the preset reference nerve range, a motor nerve conduction signal is recorded through a recording electrode installed on at least one of the palm, the back of the hand, and the fingers. It includes a second nerve conduction sensing unit provided to measure.

In addition, the nerve conduction measurement device compares the motion detection signal measured through the motion detection unit with a preset reference motion value, operates the first nerve conduction sensing unit according to the comparison result, and responds to the control signal transmitted from the user terminal. Accordingly, a control unit that operates the second nerve conduction sensing unit, and a nerve conduction signal measured through the first nerve conduction sensing unit and the second nerve conduction sensing unit are transmitted to the user terminal using a low-power communication network, and controlled from the user terminal. It further includes a communication unit that receives a signal.

Additionally, in the present invention, the motion detection unit includes an acceleration sensor that detects a change in speed per unit time or a gyro sensor that detects a change in angular velocity per unit time.

In addition, in the present invention, the first nerve conduction sensing unit includes an electrical stimulator provided to supply an electrical signal to the skin surface through a stimulation electrode, an electromyography sensor provided to measure the nerve conduction signal, and an electrical signal supplied from the electrical stimulator. It includes at least one stimulation electrode provided on the skin where the median nerve and ulnar nerve are located in order to apply it to the median nerve and ulnar nerve.

In addition, in the present invention, the first nerve conduction sensing unit includes at least one recording electrode provided on the skin where the median nerve and ulnar nerve are located to measure a sensory nerve conduction signal through the electromyography sensor, and the electromyographic sensor is stable. It further includes a ground electrode provided to remove noise so that the nerve conduction signal can be measured.

In addition, in the present invention, the user terminal analyzes the nerve conduction signal data transmitted from the nerve conduction measurement device to determine the sensory nerve conduction velocity measured from the median nerve and ulnar nerve in the forearm region and at least one of the palm, the back of the hand, and the fingers. The nerve conduction analysis unit provided to extract the motor nerve conduction velocity measured in the nerve conduction analysis unit, and the sensory nerve conduction velocity and motor nerve conduction velocity extracted from the nerve conduction analysis unit are compared with the reference nerve range, and according to the results of the comparison, the nerve conduction It includes a control unit that transmits a control signal to the degree measuring device.

In addition, in the present invention, the control unit transmits a control signal for extracting the motor nerve conduction velocity to the nerve conduction measurement device when the sensory nerve conduction velocity is outside the reference nerve range, and the motor nerve conduction velocity is within the reference nerve range. If it deviates, it is determined that something is wrong with the wrist and a preset customized solution is provided to the user.

In addition, in the present invention, the nerve conduction measuring device further includes a low frequency generator that generates low frequencies for performing a massage on the wrist under the control of the control unit, and the control unit determines that the motor nerve conduction velocity is outside a preset reference nerve range. In this case, in order to provide the user-customized solution, a control signal for operating the low-frequency generator is transmitted to the nerve conduction measurement device.

As described above, the smart hand care system according to the present invention is effective in preventing and managing wrist fatigue and diseases caused by office, study, and sports activities.

In addition, the smart hand care system according to the present invention measures nerve conduction signals in real time through an electromyography sensor attached to the user, and analyzes the measured nerve conduction signals to provide a customized solution to the user.

In addition, the smart hand care system according to the present invention increases the accuracy of analysis information to detect wrist abnormalities through more precise measurement of nerve conduction signals, and has the effect of preventing user wrist fatigue and disease in advance. there is.

Additionally, the smart hand care system according to the present invention has the effect of preventing unnecessary consumption of resources by measuring nerve conduction signals only when a special event occurs in the wrist.

Figure 1 is a diagram for explaining a conventional wrist disease area.
Figure 2 is a block diagram showing a smart hand care system according to an embodiment of the present invention.
Figure 3 is a configuration diagram showing a smart hand care system according to an embodiment of the present invention.
Figure 4 is a block diagram showing the nerve conduction measurement device of Figure 2 in detail.
FIG. 5 is a diagram illustrating the motion detection unit of FIG. 4 in detail.
FIG. 6 is a diagram illustrating the first nerve conduction sensing unit of FIG. 4 in detail.
Figure 7 is a diagram for explaining the operation of the first nerve conduction sensing unit.
FIG. 8 is a diagram illustrating the second nerve conduction sensing unit of FIG. 4 in detail.
Figure 9 is a diagram for explaining the operation of the second nerve conduction sensing unit.
FIG. 10 is a block diagram showing the user terminal of FIG. 2 in detail.

Below, with reference to the attached drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily implement the present invention. However, the present invention may be implemented in many different forms and is not limited to the embodiments described herein. In order to clearly explain the present invention in the drawings, parts unrelated to the description are omitted, and similar parts are given similar reference numerals throughout the specification.

Throughout the specification, when a part is said to “include” a certain element, this means that it may further include other elements rather than excluding other elements, unless specifically stated to the contrary. In addition, the terms "control unit", "communication unit", "control unit", and "storage unit" used in the specification refer to a unit that processes at least one function or operation, which is implemented through hardware or software or a combination of hardware and software. It can be.

Hereinafter, the present invention will be described in detail by explaining preferred embodiments of the present invention with reference to the attached drawings.

The same reference numerals in each drawing indicate the same members.

Figure 2 is a block diagram showing a smart hand care system according to an embodiment of the present invention, and Figure 3 is a configuration diagram showing a smart hand care system according to an embodiment of the present invention.

Additionally, FIG. 4 is a block diagram illustrating the nerve conduction measurement device 10 of FIG. 2 in detail, and FIG. 5 is a diagram illustrating the motion detection unit 110 of FIG. 4 in detail.

The smart hand care system according to an embodiment of the present invention measures the human body's nerve conduction signals in real time and analyzes the measured nerve conduction signals to prevent and manage wrist fatigue and diseases caused by office work, learning, and sports activities. can do.

For example, the smart hand care system of the present invention is effective in preventing and managing carpal tunnel syndrome (CTS).

Additionally, the smart hand care system according to an embodiment of the present invention may include a nerve conduction measurement device 10 and a user terminal 20, as shown in FIGS. 2 and 3.

As shown in FIG. 3, the nerve conduction measurement device 10 of the present invention can be attached to the human body to measure nerve conduction signals from a user's specific muscles. At this time, the main body 11 of the nerve conduction measurement device 10 may be provided as a wearable device in the shape of an arm sleeve.

In addition, in the present invention, the specific muscles for measuring nerve conduction signals are considered to be the median nerve (1) and the ulnar nerve (2).

In general, the median nerve (1) is the main nerve in the front of the forearm and is distributed to the muscles of the front of the forearm and thumb and plays a role in controlling various rough movements of the hand.

Therefore, when compression occurs on the median nerve (1), it becomes the cause of carpal tunnel syndrome (carpal tunnel syndrome) as described above.

Additionally, the ulnar nerve (2) in the tunnel passing behind the elbow is an important motor nerve for the hand muscles and plays an important role in delicate and complex hand work.

Therefore, if an abnormality occurs in the ulnar nerve (2), it becomes the cause of subjective syndrome (ulnar nerve compression syndrome), which causes neuropathy due to pressure, tension, friction, etc. in the elbow area.

In addition, as shown in FIG. 4, the nerve conduction measurement device 10 of the present invention includes a motion detection unit 110, a first nerve conduction sensing unit 120, a second nerve conduction sensing unit 130, and a communication unit 140. ), a storage unit 150, a control unit 160, a low frequency generator 170, and a power supply unit 180.

In the present invention, the motion detection unit 110 detects the movement of the main body 11 and generates a motion detection signal. Additionally, in the present invention, the motion detection unit 110 may include an acceleration sensor 111, a gyro sensor 112, and a temperature and humidity sensor 113.

The acceleration sensor 111 detects a change in speed per unit time to detect the linear movement of the wrist. Additionally, the gyro sensor 112 detects changes in angular velocity, which is the rotational speed of an object per unit time, to detect rotational movement of the wrist. Additionally, the temperature and humidity sensor 113 measures the temperature and humidity of the nerve conduction measurement device 10 and stores them in the storage unit 150.

That is, the motion detection unit 110 generates a motion detection signal using the acceleration sensor 111 or the gyro sensor 112 when movement of the wrist or forearm to which the main body 11 is attached occurs, and detects the generated motion. A signal is transmitted to the control unit 160.

At this time, the control unit 160 of the present invention compares the measured motion detection signal with a preset reference motion value, and when the size of the motion detection signal is greater than or equal to the reference motion value, the control unit 160 operates the first nerve conduction sensing unit 120. Generates an event signal.

That is, if the measured motion detection signal is greater than or equal to the reference motion value, the control unit 160 determines that an impact greater than a certain level has occurred on the wrist or forearm and operates the first nerve conduction sensing unit 120.

For example, when the acceleration value measured through the motion detection unit 110 is 40 m/s ² or more, the control unit 160 determines that an amount of impact greater than the standard has occurred in the wrist and operates the first nerve conduction sensing unit 120. You can do it.

FIG. 6 is a diagram illustrating the first nerve conduction sensing unit 120 of FIG. 4 in detail, and FIG. 7 is a diagram for explaining the operation of the first nerve conduction sensing unit 120.

That is, Figure 7 shows stimulation electrodes (123, 124, 126, 127), recording electrodes (128, 129), and ground electrodes (125) provided to measure nerve conduction signals using the first nerve conduction sensing unit 120. ) is a drawing showing the location of.

At this time, the stimulation electrodes 123, 124, 126, and 127 each consist of an active electrode and a reference electrode.

In the present invention, the first nerve conduction sensing unit 120 operates under the control of the control unit 160 to detect nerve conduction signals of the median nerve 1 and the ulnar nerve 2 when an event signal occurs.

Additionally, in the present invention, the first nerve conduction sensing unit 120 includes an electrical stimulator 121 and an electromyography sensor 122, as shown in FIG. 6.

In the present invention, the electrical stimulator 121 supplies electrical signals through the stimulation electrodes 123, 124, 126, and 127 to apply electrical stimulation to the median nerve 1 and the ulnar nerve 2.

For example, the electrical stimulator 121 can apply a potential of 10 to 15 mV to the median nerve (1) and the ulnar nerve (2).

At this time, as shown in FIG. 7, the blue electrode represents the median nerve stimulating electrodes (123, 126), and the red electrode represents the ulnar nerve stimulating electrodes (124, 127).

In addition, the stimulation electrodes (123, 124, 126, 127) are connected to the median nerve (1) and the ulnar nerve (2) in order to apply the electric signal supplied from the electric stimulator (121) to the median nerve (1) and the ulnar nerve (2). 2) It is provided on the surface of the muscle where it is located.

Additionally, the electromyography sensor 122 acquires a potential waveform for measuring nerve conduction signals from the median nerve 1 and the ulnar nerve 2 through the recording electrodes 128 and 129.

That is, the electromyography sensor 122 extracts the measurement time and amplitude of the potential supplied through the stimulation electrodes 123, 124, 126, and 127 through the nerve.

In addition, recording electrodes 128 and 129 are provided on the skin where the median nerve 1 and ulnar nerve 2 are located to measure nerve conduction signals through the electromyography sensor 122.

In the present invention, the electromyography sensor 122 measures action potentials generated during the depolarization and repolarization of each nerve cell through recording electrodes 128 and 129 provided on the surface of the muscle.

In other words, the electromyography sensor 122 detects nerve conduction signals from the user's muscle surface using the nerve conduction principle of measuring the speed at which electrical signals applied to the median nerve (1) and ulnar nerve (2) are conducted along nerve fibers. It can be measured.

In addition, the ground electrode 125 is provided to remove noise so that the electromyography sensor 122 can measure stable nerve conduction signals.

The process of measuring a sensory nerve conduction signal through the first nerve conduction sensing unit 120 of the present invention is as follows.

First, as shown in FIG. 7, an electric signal (potential) is applied to the first median nerve stimulation electrode 123 or the first ulnar nerve stimulation electrode 124 through the electrical stimulator 121, and according to the applied potential, The first sensory nerve conduction signal can be extracted by measuring the measured electrical signal at the recording electrodes 128 and 129.

In addition, an electrical signal (potential) is applied to the second median nerve stimulation electrode 126 or the second ulnar nerve stimulation electrode 127 through the electrical stimulator 121, and the electrical signal measured according to the applied potential is transmitted to the recording electrode. The second sensory nerve conduction signal can be extracted by measuring again at (128, 129).

FIG. 8 is a diagram illustrating the second nerve conduction sensing unit 130 of FIG. 4 in detail, and FIG. 9 is a diagram for explaining the operation of the second nerve conduction sensing unit 130.

That is, FIG. 9 is a diagram showing recording electrodes 131 and 132 added to measure motor nerve conduction signals using the second nerve conduction sensing unit 130.

At this time, the recording electrodes 131 and 132 may be installed on at least one of the user's palm, back of the hand, and fingers.

In the present invention, the second nerve conduction sensing unit 130 controls the control unit 160 when the analysis result of the sensory nerve conduction signal measured through the first nerve conduction sensing unit 120 is outside the reference nerve range. Accordingly, it is provided to measure motor nerve conduction signals through recording electrodes 131 and 132 installed on at least one of the palm, the back of the hand, and the fingers.

For example, the reference nerve range can be set to a nerve conduction speed of 40 to 100 m/sec.

That is, when the measured value of the first nerve conduction sensing unit 120 is outside the reference nerve range, the control unit 160 controls the electrical stimulator 121 to provide a central nerve signal through the stimulation electrodes 123, 124, 126, and 127. Electrical signals are supplied to the nerve 1 and the ulnar nerve 2, and motor nerve conduction signals are measured from the electromyography sensor 122 through the added recording electrodes 131 and 132.

In the present invention, the communication unit 140 transmits the nerve conduction signal measured through the first nerve conduction sensing unit 120 and the second nerve conduction sensing unit 130 to the user terminal 20 using a low-power communication network.

At this time, the low-power communication network may be a BLE (Bluetooth Low Energy)-based communication network.

Additionally, the storage unit 150 stores sensing data measured from the motion detection unit 110, the first nerve conduction sensing unit 120, and the second nerve conduction sensing unit 130. In addition, the control unit 160 includes a motion detection unit 110, a first nerve conduction sensing unit 120, a second nerve conduction sensing unit 130, a communication unit 140, a storage unit 150, and a low frequency generator ( 170), and controls the operation of the power unit 180.

Additionally, the low frequency generator 170 generates low frequencies to massage the wrist under the control of the control unit 160. In addition, the power supply unit 180 of the present invention supplies power to drive the nerve conduction measurement device 10 and power to generate electrical signals in the electrical stimulator 121.

FIG. 10 is a block diagram showing the user terminal 20 of FIG. 2 in detail.

As shown in Figure 10, the user terminal 20 according to the present invention includes a communication unit 210, a nerve conduction analysis unit 220, a control unit 230, a database 240, an alarm unit 250, and a display unit ( 260).

At this time, the user terminal 20 according to the present invention may be implemented through a mobile application. That is, an interface is provided through an application running on the user terminal 20, and the communication unit 210, nerve conduction analysis unit 220, control unit 230, database 240, and display unit 260 are provided through the interface. ) can be controlled.

In the present invention, the communication unit 210 receives nerve conduction signal data transmitted from the nerve conduction measurement device 10 using a low-power communication network, and transmits a control signal through the control unit 230 to the nerve conduction measurement device 10. .

Additionally, in the present invention, the nerve conduction analysis unit 220 performs sensory nerve conduction analysis or motor nerve conduction analysis using the received nerve conduction signal data.

Additionally, the nerve conduction analysis unit 220 may include a first analysis module 221 and a second analysis module 222. The first analysis module 221 analyzes the sensory nerve conduction data measured by the first nerve conduction sensing unit 120 and calculates the sensory nerve conduction velocity extracted from the median nerve (1) and ulnar nerve (2) in the forearm area. It is prepared to calculate.

In addition, the first analysis module 221 can calculate the sensory nerve conduction velocity (SNCV) using [Equation 1] below based on the data measured by the first nerve conduction sensing unit 120.

[Equation 1]

SNCV (sensory nerve conduction velocity) = SD (distance)/SL (latency time)

At this time, the latency (SL) is the time until the reaction begins after stimulation is applied by applying an electrical signal from the stimulation electrodes (123, 124, 126, 127) provided on the forearm area through the electrical stimulator (121). It represents the time measured through recording electrodes 128 and 129 provided in different parts of .

In addition, the distance SD is the distance D1 from the first stimulation electrodes 123 and 124 to the recording electrodes 128 and 129, and the distance from the second stimulation electrodes 126 and 127, as shown in FIG. It can be expressed as the distance D2 to the recording electrodes 128 and 129.

Therefore, the first analysis module 221 uses the distance D1 and the first sensory nerve conduction signal measured by measuring the electric signal applied through the first stimulation electrodes 123 and 124, The first sensory nerve conduction velocity can be obtained using .

In addition, the first analysis module 221 calculates the distance D2 and the second sensory nerve conduction signal by measuring the electric signal applied through the second stimulation electrodes 126 and 127. The second sensory nerve conduction velocity can be calculated using .

Additionally, in the present invention, the control unit 230 compares the first and second sensory nerve conduction velocities extracted through the first analysis module 221 with a reference nerve range, and Alternatively, if the second sensory nerve conduction velocity is outside the reference nerve range, a control signal is transmitted to the nerve conduction measurement device 10 to operate the second nerve conduction sensing unit 130.

In addition, in the present invention, the second analysis module 222 analyzes the motor nerve conduction data measured by the second nerve conduction sensing unit 130 and calculates the motor nerve conduction velocity extracted from at least one of the palm, the back of the hand, and the fingers. It is prepared to calculate.

In addition, the second analysis module 222 can calculate the motor nerve conduction velocity (MNCV) using [Equation 2] below based on the data measured by the second nerve conduction sensing unit 130.

[Equation 2]

MNCV (motor nerve conduction velocity) = MD (distance) / ML2 (proximal latency) - ML1 (distal latency)

At this time, the ML2 (proximal latency time) refers to the time until the reaction begins after stimulation is applied by applying an electrical signal to the first stimulation electrodes (123, 124) provided on a specific part of the forearm through the electrical stimulator (121). It represents measurements made through recording electrodes 131 and 132 provided on different parts of the forearm.

In addition, the ML1 (distal latency time) refers to the time until the reaction begins after stimulation is applied by applying an electrical signal to the second stimulation electrodes (126, 127) provided on a specific part of the forearm through the electrical stimulator (121). It represents measurements made through recording electrodes 131 and 132.

In addition, in the above [Equation 2], the distance MD is the distance D3 from the recording electrodes 131 and 132 to the first stimulation electrodes 123 and 124, and the recording electrode 131 as shown in FIG. 9. , 132) can be expressed as the difference (D4-D3) between the distance (D4) from the second stimulation electrodes (126, 127).

Therefore, the second analysis module 222 includes the distance (MD), a first motor nerve conduction signal measured by the recording electrodes 131 and 132, and an electrical signal applied through the first stimulation electrodes 123 and 124, Motor nerve conduction velocity (MNCV) is calculated using the above [Equation 2] based on the second motor nerve conduction signal measured by the recording electrodes (131, 132) and the electrical signal applied through the second stimulation electrodes (126, 127). can be obtained.

In addition, in the present invention, the control unit 230 compares the motor nerve conduction velocity (MNCV) extracted through the second analysis module 222 with a preset reference nerve range, and the motor nerve conduction velocity (MNCV) is the reference nerve range. If it is outside the range, it is judged that something is wrong with the wrist.

Additionally, if it is determined that an abnormality has occurred in the wrist, the control unit 230 may transmit a control signal to the nerve conduction measurement device 10 to provide a preset customized solution.

For example, the control unit 230 may transmit a control signal to the nerve conduction measurement device 10 to operate the low frequency generator 170 to generate low frequencies for performing a massage on the wrist.

Additionally, if it is determined that there is an abnormality in the wrist, the control unit 230 may provide user-customized health information for wrist health through the display unit 260.

Additionally, in the present invention, the database 240 stores nerve conduction data transmitted from the nerve conduction measurement device 10 and analysis results analyzed through the nerve conduction analysis unit 220.

Additionally, in the present invention, the alarm unit 250 can provide an alarm signal to the user when the analysis result of the nerve conduction signal is outside the reference nerve range. Additionally, in the present invention, the display unit 260 can display data resulting from analysis of nerve conduction signals and provide it to the user.

As such, the smart hand care system according to an embodiment of the present invention measures nerve conduction signals from an electromyography sensor installed on a person's wrist or forearm, analyzes the measurement results, and detects whether an abnormality occurs in the wrist, thereby causing carpal tunnel syndrome ( It is effective in preventing carpal tunnel syndrome.

Although preferred embodiments of the present invention have been described above, the present invention is not limited to the above embodiments, and can be easily modified by a person skilled in the art from the embodiments of the present invention to provide equivalent equivalents. Includes all changes within the scope deemed acceptable.

1: Median nerve 2: Ulnar nerve
10: Nerve conduction measurement device 11: Main body
110: motion detection unit 120: first nerve conduction sensing unit
130: second nerve conduction sensing unit 140: communication unit
150: storage unit 160: control unit
170: low frequency generator 180: power supply unit
20: User terminal 210: Communication department
220: Nerve conduction analysis unit 230: Control unit
240: database 250: alarm unit
260: display unit

Claims (6)

In a smart hand care system in which the user terminal analyzes whether there is an abnormality in the wrist using the nerve conduction signal measured through a nerve conduction measurement device and provides a customized solution based on the analysis results,
The nerve conduction measurement device is
A motion detection unit that detects movement of the wrist or forearm and generates a motion detection signal;
a first nerve conduction sensing unit provided to measure a user's sensory nerve conduction signal when the motion detection signal is greater than a preset reference motion value;
When the sensory nerve conduction signal measured through the first nerve conduction sensing unit is outside the preset reference nerve range, a second nerve conduction signal is provided to measure the motor nerve conduction signal through a recording electrode installed on at least one of the palm, the back of the hand, and the fingers. Degree sensing unit;
The motion detection signal measured through the motion detection unit is compared with a preset reference motion value, the first nerve conduction sensing unit is operated according to the comparison result, and the second nerve conduction sensing unit is operated according to the control signal transmitted from the user terminal. A control unit that operates; and
A smart hand care system comprising a communication unit that transmits the nerve conduction signal measured through the first nerve conduction sensing unit and the second nerve conduction sensing unit to the user terminal using a low-power communication network and receives a control signal from the user terminal.
In paragraph 1:
The user terminal is
By analyzing the nerve conduction signal data transmitted from the nerve conduction measurement device, the sensory nerve conduction velocity measured from the median and ulnar nerves in the forearm region and the motor nerve conduction velocity measured from at least one of the palm, the back of the hand, and the fingers are extracted. A nerve conduction analysis unit provided for this purpose; and
A smart hand care system comprising a control unit that compares the sensory nerve conduction velocity and motor nerve conduction velocity extracted from the nerve conduction analysis unit with the reference nerve range and transmits a control signal to the nerve conduction measurement device according to the comparison result. .
In paragraph 1:
The motion detection unit is a smart hand care system including an acceleration sensor that detects a change in speed per unit time or a gyro sensor that detects a change in angular speed per unit time.
In paragraph 1:
The first nerve conduction sensing unit
An electrical stimulator designed to supply electrical signals to the skin surface through stimulation electrodes,
An electromyography sensor designed to measure nerve conduction signals,
At least one stimulation electrode provided on the skin where the median nerve and ulnar nerve are located to apply an electrical signal supplied from the electrical stimulator to the median nerve and ulnar nerve,
At least one recording electrode provided on the skin where the median nerve and ulnar nerve are located to measure sensory nerve conduction signals through the electromyography sensor, and
A smart hand care system including a ground electrode provided to remove noise so that the electromyography sensor can measure stable nerve conduction signals.
In paragraph 2,
The control unit transmits a control signal for extracting the motor nerve conduction velocity to the nerve conduction measurement device when the sensory nerve conduction velocity is outside the reference nerve range,
A smart hand care system that determines that an abnormality has occurred in the wrist when the motor nerve conduction velocity is outside the reference nerve range and provides a preset customized solution to the user.
In paragraph 5,
The nerve conduction measurement device further includes a low frequency generator that generates low frequencies for performing a massage on the wrist under the control of the control unit,
A smart hand care system wherein the control unit transmits a control signal to operate the low frequency generator to a nerve conduction measurement device to provide a user-customized solution when the motor nerve conduction velocity is outside a preset reference nerve range. .

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