A Study on An EMG Sensor with High Gain and Low Noise for Measuring Human Muscular Movement Patterns for Smart Healthcare
Abstract
:1. Introduction
2. System Overview
2.1. Block Diagram of the EMG Sensor
2.2. ASIC of Core-Amplifier
2.3. Noise Analysis of Core-Amplifier
2.3.1. 1/f Noise
2.3.2. Serial Thermal Noise
2.3.3. Parallel Noise
2.3.4. Design of EMG Sensor
3. Result and Discussion
3.1. Myoelectric Signal Analysis Results
3.2. Noise Analysis Results
3.3. Verification of Results of Research
3.4. Clinical Trial Results
4. Conclusions
Author Contributions
Conflicts of Interest
Appendix A
References
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Parameter | Existing Product (Ottobock) | Value (Manufactured EMG Sensor) |
---|---|---|
Gain | By feedback resistance | 10 mV/fC |
Noise | 477 uVrms | 500 uVrms |
Output Swing | 5 V | 2.8 V |
GBW (gain bandwidth) | 10 kHz | 200 MHz |
Input Range | 10 fC | 4 fC |
Linearity | 0.3% S.d | 0.3% S.d |
Power Consumption | About 2 mW | 2 mW |
CMOS Technology | N/A | 0.25 μm |
Device | Z/L | Device | Z/L | Device | Z/L |
---|---|---|---|---|---|
P1 | 60/20 | P1 | 50/10 | N2 | 120/75 |
P1 | 350/20 | P1 | 120/10 | N3 | 120/75 |
P1 | 300/20 | P1 | 120/10 | N4 | 60/20 |
P1 | 50/10 | N1 | 10/10 | - | - |
Phase Margin | Phase of Signal | Noise | % Error Rate |
---|---|---|---|
45° | 0.134 ms | 145 uVrms | 0.23% |
50° | 0.145 ms | 195 uVrms | 0.43% |
55° | 0.168 ms | 286 uVrms | 0.75% |
60° | 0.198 ms | 369 uVrms | 0.98% |
65° | 0.226 ms | 469 uVrms | 1.08% |
Parameter | Gain | Noise | System Error |
---|---|---|---|
Number | 10 | 10 | 10 |
Avg | 9.8 mV/fC | 487 uVrms | 1.11% |
Median | 9.9 mV/fC | 502 uVrms | 1.03% |
Z-score | 0.83 | 0.96 | 0.98 |
1. The EMG signal is measured for the upper limb cutter. |
2. Research participants should change to the same lab uniform. To measure the EMG of the upper extremity muscles, use the EMG sensor where the upper extremity moves most strongly. In addition, the other hand is grounded to obtain accurate experimental measurement data. Do not collect signals whose signal levels are shaken or whose thresholds are not exceeded [25,26]. |
3. All experimental data use only data values that meet 95% confidence with robust statistical processing techniques. |
4. Experimental method A. EMG measurement for 5 min in rest (sitting comfortably) B. Perform the same type of measurement every week at the right time C. Assessment of whether all data satisfy 95% confidence level in robust statistics D.Measure muscle movement (It is measured by the EMG signal level because it is impossible to measure with the naked eye.) E. Record the temperature rise of the system at all measurements. F. Record system error rate as temperature increases G. Record until after the system has an idle period until the error is less than 1%. H. The same type of measurement should be performed at intervals of 2 weeks for 20 weeks. |
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Yuk, S.-W.; Hwang, I.-H.; Cho, H.-R.; Park, S.-G. A Study on An EMG Sensor with High Gain and Low Noise for Measuring Human Muscular Movement Patterns for Smart Healthcare. Micromachines 2018, 9, 555. https://doi.org/10.3390/mi9110555
Yuk S-W, Hwang I-H, Cho H-R, Park S-G. A Study on An EMG Sensor with High Gain and Low Noise for Measuring Human Muscular Movement Patterns for Smart Healthcare. Micromachines. 2018; 9(11):555. https://doi.org/10.3390/mi9110555
Chicago/Turabian StyleYuk, Sun-Woo, In-Ho Hwang, Hyeon-Rae Cho, and Sang-Geon Park. 2018. "A Study on An EMG Sensor with High Gain and Low Noise for Measuring Human Muscular Movement Patterns for Smart Healthcare" Micromachines 9, no. 11: 555. https://doi.org/10.3390/mi9110555