KR20200121005A - grip measuring device for each finger - Google Patents

Abstract

The present invention relates to a grip measuring device measured for each finger, in which a plurality of measurement blocks (100) are connected and configured. The measurement block (100) comprises: a body (10) with a built-in load cell to measure pressure; and upper and lower gripping portions (20, 30) coupled to the surface of the body (10). The present invention is configured by connecting the plurality of measurement blocks (100) each with a built-in load cell, and freely adjusts the gripping width of each finger to measure the grip of each finger, thereby simply and accurately measuring the total grip and the grip of each finger. In addition, any change in the grip of each finger due to brain damage such as neurological disease is alerted, so that a user is informed of the occurrence or progression of a disease.

Description

Grip measuring device for each finger {grip measuring device for each finger}

The present invention relates to a grip force measuring device that is measured for each finger, and more specifically, a load cell is built-in and a plurality of measurement blocks for measuring pressure are connected to each other, and the total grip strength and grip strength of each finger are measured by measuring the grip strength for each finger. A simple and accurate measurement of, and by warning of changes in grip strength for each finger due to brain damage such as neurological diseases, it relates to a grip strength measuring device measured for each finger for determining health abnormalities in advance to know in advance that a disease occurs or progresses.

To date, there have been many studies on sitting or standing posture, arm position and angle, and grip strength according to changes in anthropometric values. These studies aim to prevent musculoskeletal diseases by reducing the burden on the hands in the manual work using hand tools by analyzing the grip strength affected by factors such as the worker's posture and body size. However, many existing studies have shown that there are insufficient studies on the maximum performance of the hand tool handle and the gripping width, which is an important factor in minimizing the stress of the hand (finger flexion tendon, ligament of the wrist, wrist ligament, carpal tunnel, etc.). have. In particular, Fransson and Winkel (1991), Oh and Radwin (1993), Blackwell et al. (1999) and others have argued that the anthropometric relationship between the gripping width and the user's hand should be considered in order to design the optimal gripping width, but the gripping width for each finger is adjusted and the force from each finger accordingly. There is no specific guideline for hand tool handle design due to the absence of equipment capable of measuring

As a conventional patented technology, in Public Utility Model Publication No. 1998-027260, both ends of an elastic body with strong elasticity bent to form an elastic part are covered with a synthetic resin material or a wooden handle, and the ends of the elastic body exposed to the lower part of one handle. A grip force measuring device is disclosed by marking a scale on the surface and forming a ruler with a measuring ruler to be able to move in a slide manner and forming a through groove at the bottom of the other handle.

In the Public Utility Model Publication Publication No. 1995-0029525, a push button made of a spring is combined to appear on the case body, and an indicator needle formed on the front of the stone ring protruding on the outer circumferential surface of the push button can be seen through the viewing window. The reference indicator needle, which is installed close to the inner part of the viewing window and is inserted with a spring, is configured to be caught on the bottom of the protrusion on the push button while the rack is inserted into the built-in vertical tube, and the elastic piece and the inclined part are formed at the top and bottom. The button formed at the bottom of the case is installed so as to protrude from the bottom of the case body, and a finger grip strength tester for identifying constitution is disclosed.

However, the conventional techniques do not take into account the anthropometric relationship between the gripping width and the user's hand, so the gripping width for each finger is freely adjusted, and the total grip strength and the grip strength of each finger cannot be measured simply and accurately. There was this.

Therefore, the present invention has been devised to solve the above problems, and proposes a design guideline for preventing musculoskeletal disorders of hand tool users through system verification and experiment, as well as establishing a basic DB for gripping width and force of each finger. In addition, the data and results are intended to provide a finger-to-finger grip measurement device that is useful not only to hand tool users and ergonomics, but also to product designers and evaluators related to hand tools.

In addition, it is intended to provide a device for measuring grip strength measured for each finger, which alerts the change of grip strength for each finger due to brain damage such as neurological disease, so that the occurrence or progress of the disease is known in advance.

The present invention relates to a grip force measuring device that is measured for each finger, and a plurality of measuring blocks 100 are connected to each other, and the measuring block 100 includes a body 10 having a built-in load cell to measure pressure, and the body (10) It characterized in that it consists of the upper and lower gripping portions 20, 30 coupled to the surface.

Therefore, the present invention is configured by connecting a plurality of measurement blocks 100 each with a built-in load cell, and by freely adjusting the gripping width for each finger, the total grip strength and the grip strength of each finger are simply and accurately measured by measuring the grip strength for each finger. Has a remarkable effect.

In addition, there is a remarkable effect of letting you know in advance that a disease occurs or progresses by warning of changes in grip strength for each finger due to brain damage such as neurological disease.

1 is a photograph of sensor calibration operation
Figure 2 is a component of the hand grip measuring device measured for each finger of the present invention
3A is a perspective view of a grip force measuring device measured for each finger of the present invention
3B is a model diagram of a grip force measuring device measured for each finger of the present invention
Figure 4 is a LabVIEW program-an example of grip strength
5 is a photograph of Supply and Amplifier (front, rear), which are elements of power supply
Figure 6 is a photograph of a Miniature loadcell
7A is a diagram of a grip force measuring device measured for each finger of the present invention
7B is a photograph of a finished product of the grip force measuring device measured for each finger of the present invention
Fig. 8 is a diagram of a 5 to 25 mm spacing block adjustment block of an insertion type
Figure 9 is a photograph of the NI DAQmx-USB 6259.

The present invention relates to a grip force measuring device that is measured for each finger, and a plurality of measuring blocks 100 are connected to each other, and the measuring block 100 includes a body 10 having a built-in load cell to measure pressure, and the body (10) It characterized in that it consists of the upper and lower gripping portions 20, 30 coupled to the surface.

In addition, it is characterized in that the interval adjustment block 110 is inserted between the measurement blocks 100.

In addition, the height of the measurement block 100 is characterized in that different for each finger.

In addition, the upper gripping portion 20 is characterized in that the groove 21 is formed so that the fingers easily grip.

In addition, a coupling hole is formed in the body, the rail of the measuring block passes through the coupling hole, and the body is coupled to the measuring block in a sliding manner.

The present invention will be described in detail with reference to the accompanying drawings as follows. 1 is a photograph of the sensor calibration operation, FIG. 2 is a component of a grip force measuring device measured for each finger of the present invention, FIG. 3A is a perspective view of a grip force measuring device measured for each finger of the present invention, and FIG. 3B is a grip force measurement measured for each finger of the present invention. A schematic diagram of the device, FIG. 4 is a LabVIEW program-an example of grip strength, FIG. 5 is a photograph of Supply and Amplifier (front, rear), which are elements of a power supply, FIG. 6 is a photograph of a miniature loadcell, and FIG. 7A is measured for each finger of the present invention. A drawing of the grip force measuring device, FIG. 7B is a picture of a finished product of the gripping force measuring device measured for each finger of the present invention, FIG. 8 is a block diagram of a 5-25mm spacing adjustment block in an inserted form, and FIG. 9 is a photograph of an NI DAQmx-USB 6259.

1. Multi-Finger Force Measurement (MFFM) system

We intend to develop the Multi-Finger Force Measurement (MFFM) system, a new concept equipment that can freely adjust the gripping width of each finger and measure the grip strength of each finger.

Step 1: Sensor calibration method using load cell

In the MFFM system to be developed in this study, 4 miniature load cell sensors (Model 13, Honeywell) are used to measure the grip force of each finger. The size of the miniature load cell sensor is a small load cell type with a diameter of 9.46mm and a thickness of 2.75mm (measures up to 20kg), and is designed to be suitable for measuring the maximum grip force per finger. Since these miniature load cell sensors have an output type of mV, calibration of each sensor is required prior to system development. Another load cell HMNT sensor (Korean instrument, 50.12mm diameter, 24.31mm thickness) will be used for calibration of these sensors, and this load cell can measure up to 50kg.

As a conventional calibration method for typical sensors, seven known weights (weights) are placed on each sensor in sequence and a method using the correlation between the sensor output (mV) and the weight has been applied (Laurie and Andres, 1992). . The disadvantage of this method is that it takes a lot of time because 7 weights have to be placed for each sensor, and there are cases where it is not enough to show the relationship between the output of the sensor and the weight with 7 points. In particular, with the small size of the miniature load cell (Model 13) to be used in this study, the method of placing and stacking weights like the existing method cannot be applied. To compensate for these shortcomings, we will try the following new methods. First, calibrate HMNT using 7 weights using the existing calibration method. Next, insert a miniature loadcell sensor into the metal disk manufactured as shown in Fig. 1 and place it on the HMNT that has been calibrated. The experimenter slowly presses the metal disk with his thumb for about 6 seconds from 0 to 15 kg (about 3 seconds) and from 15 kg to 0 kg (about 3 seconds). The sampling rate of HMNT and miniature load cell sensors is 100hz each, and a total of 600 pieces of data are output. LabVIEW program is used to store and analyze the output of the miniature load cell and the HMNT. In this program, the miniature load sensor is calibrated based on the data obtained through the first calibration of the HMNT. The remaining three miniature sensors are calibrated in the same way. Through this method, it is possible to shorten the calibration time of each sensor and overcome the limitation due to the small size of the miniature load cell. It is also possible to perform accurate sensor calibration with more data (600 data).

Step 2: Multi-Finger Force Measurement (MFFM) system and analysis module

The MFFM system is largely composed of 4 types. The power supply part that provides power to the equipment, the body part that contains a sensor that can measure the grip force, and the grip width of each finger can be changed, a data collection device that collects data from the sensor, and receives the collected data. It consists of a data analysis section that can be analyzed and displayed. Figure 2 shows the four components of the MFFM system and the elements that make up each component.

The power supply part consists of a part (Supply) that changes the voltage appropriate for the sensor and provides it, and a part (Amplifier) that amplifies the signal from each sensor channel and delivers it to the DAQmx board, a data acquisition device. This is a circuit diagram using OrCAD and a pcb was fabricated using a high-sensitivity positive photosensitive substrate. The main body used 4 small load cells (Miniature Load Cell, Honeywell Model 13) to measure the grip force of each finger. The size of each load cell is a small load cell type with a diameter of 9.5 mm and a thickness of 2.75 mm, and was manufactured to be suitable for measuring the maximum grip force per finger. The body was produced by drawing a 3D drawing (Fig. 3a.) using Solidworks, and transferring the data to a Rapid Prototype (RP) Machine (3D Printer-SST 1200es, Strarasys Inc.). In order to measure the force of each finger for various gripping widths, the gripping width of each finger can be easily adjusted from 45mm to 65mm in 5mm intervals by using a block (size: 5~25mm) in the form of insertion between the body with the sensor and the body. It is designed to be adjustable, and is made of ABS synthetic resin (Acrylonitrile-Butadiene-Styrene) for resistance and durability against external impact. Figure 3b is an actual picture of the finished body.

The output force of the fingers measured from each sensor was input through the National Instrument's NI DAQmx-USB 6259 device in real time. The DAQmx board can collect data up to a total of 32 channels, and the collected data is transferred to a computer through a USB connection. Analyzes the force and contribution of fingers through the transmitted data. The analysis module was implemented using LabVIEW 8.5 (National Instrument ltd.), which is widely used in computer control and measurement systems. The computer CPU used to implement LabVIEW was an Intel Core 2 duo Wolfdale E8400, and the monitor uses LG Electronics' FLATRON L1960TR, which can receive data stably and check it through a real-time screen. LabVIEW is a graphical programming language, consisting of a front panel showing the execution screen and a block diagram for designing a program, and was programmed for the purpose of measuring grip.

The program consists of 1. a sensor calibration file for calibrating the sensor used to measure the grip strength, 2. a zero offset file for obtaining the resting value of the sensor, and 3. a grip strength measurement, which is the main file used for grip strength measurement. . Calibrate 4 sensors through file 1. The method used in calibration measures the voltage generated when a load of 0kg to 5kg is applied at a sampling rate of 100Hz, and the contact and regression equations from the regression analysis of each sensor are obtained through the voltage generated at each, and the force generated when measuring the grip force. Can be inferred. Through file 2, the sensor value in the resting state is measured. Figure 4 shows 3. Grip strength measurement. Through this program, the total grip strength and the grip strength of each finger can be measured, and the values output in real time can be checked.

A. Power supply

This part exists to supply the power of the sensor used in the equipment. The part that changes the voltage (Supply) and the changed voltage to each sensor channel and amplifies the signal from the sensor to the data acquisition device DAQ-Board. It is divided into an Amplifier (Figure 5). In both parts, a circuit diagram was drawn using OrCAD and a pcb was manufactured using a high-sensitivity positive photosensitive substrate. In the supply part, it was manufactured to keep the voltage provided to the sensor constant, and in the amplifier part, the signal of the sensor was amplified by using an AD704 amplifier.

B. Main body

Four small load cells (Miniature Load Cell, Honeywell Model 13) were used to measure the grip force of each finger (Figure 6). The size of each load cell is a small load cell type with a diameter of 9.5 mm and a thickness of 2.75 mm, and was manufactured to be suitable for measuring the maximum grip force per finger. The body was produced by drawing 3D drawings using Solidworks, and then transferring the data to a Rapid Prototype (RP) Machine (3D Printer-SST 1200es, Strarasys Inc.) (Figure 7). In order to measure the force of each finger for various gripping widths, the gripping width for each finger is increased from 45mm to 65mm by using a block (size: 5~25mm) in the form of insertion as shown in Figure 12 between the body with the sensor and the body. It is designed to be easily adjustable in 5mm intervals. It is made of ABS synthetic resin (Acrylonitrile-Butadiene-Styrene) for resistance and durability against external impact.

C. Data Collection

The output force of fingers measured from each sensor was input and analyzed through National Instrument's NI DAQmx-USB 6259 instrument. The DAQmx board can collect up to 32 channels of data, and the collected data is transferred to a computer through a USB connection (Figure 9).

D. Data Analysis

It is an analysis module to analyze the force and contribution of fingers during the grip force measurement experiment. It was implemented using LabVIEW 8.5 (National Instrument), which is currently widely used in computer control and measurement systems. The computer CPU used to implement LabVIEW was an Intel Core 2 duo Wolfdale E8400, and the monitor uses LG Electronics' FLATRON L1960TR, which can receive data stably and check it through a real-time screen. LabVIEW is a graphical programming language that consists of a front panel showing an execution screen and a block diagram for designing a program. It was programmed for the purpose of measuring the grip strength.

The program consists of 1. a sensor calibration file for calibrating the sensor used to measure the grip strength, 2. a zero offset file for obtaining the resting value of the sensor, and 3. a grip strength measurement, which is the main file used for grip strength measurement. . Calibrate 4 sensors through file 1. The method used in calibration measures the voltage generated when a load of 0kg to 5kg is applied at a sampling rate of 100Hz, and the contact and regression equations from the regression analysis of each sensor are obtained through the voltage generated at each, and the force generated when measuring the grip force. Can be inferred. Through file 2, the sensor value in the resting state is measured. Fig. 14 shows 3. Grip strength measurement. Through this program, the total grip strength and the grip strength of each finger can be measured, and the values displayed in real time can be checked.

The grip strength measuring device measured for each finger of the present invention is a smart healthcare tool capable of predicting and evaluating neurological diseases such as stroke by measuring hand force and finger force.

Therefore, it is possible to analyze patterns of neurological diseases by implementing big data of measured data through measurement tools.

Through in-depth analysis of the patterns of hand force and finger force measurement data, various neurological diseases are predicted and appropriate exercise prescriptions are performed to prevent and alleviate diseases.

Therefore, if the presence or absence of the disease and the severity of the disease can be determined by simply measuring the grip strength, an appropriate treatment form can be provided.

In the present invention, the force generated by each finger can be measured individually.

The gripping width of each finger part can be individually adjusted.

When measuring force, it is possible to measure and analyze all changes in force exerted.

Through big data, suitable diagnosis and prescription are possible.

In the present invention, in particular, the grip strength is used as the average value for 3 seconds, excluding 1 second at the beginning and the end when the maximum force is exerted for a certain period of time, mainly 5 seconds. At this time, people suffering from neurological diseases such as neurological diseases have a slower response than normal people, so they do not increase rapidly during the first 1 second out of 3 seconds, but gradually increase their grip strength during the first 2 seconds. When the rate of increase detected by the sensor and transmitted is less than a certain value, the control unit generates an alarm through an alarm means. And the average value for 3 seconds is also measured significantly lower than that of the general public. For each finger, it is evident that the strength of the index and middle fingers is measured lower than that of ordinary people. Therefore, when the force sensed and transmitted by the sensor, that is, the pressure is less than a certain value, the control unit generates an alarm through an alarm or other alarm.

100: measuring block 110: gap adjustment block 120: rail
10: body 11: coupling hole
20, 30: upper and lower gripping part 21: groove

Claims (3)

A plurality of measurement blocks 100 are connected to each other, and the measurement block 100 includes a body 10 having a built-in load cell to measure pressure, and upper and lower gripping portions 20 and 30 coupled to the surface of the body 10. ), characterized in that the grip force measuring device measured for each finger The device of claim 1, wherein a space adjustment block (110) is inserted between the measurement blocks (100). The grip force measuring device of claim 2, wherein the height of the measuring block 100 is different for each finger.

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