The design and use of a microcomputerized real-time muscle fatigue monitor based on the medical frequency shift in the electromyographic signal

1989 ◽  
Vol 36 (2) ◽  
pp. 284-286 ◽  
Author(s):  
R. Seroussi ◽  
M.H. Krag ◽  
P. Wilder ◽  
M.H. Pope
Keyword(s):  
Frequency Shift ◽  
Muscle Fatigue ◽  
Real Time ◽  
Electromyographic Signal

scholarly journals Electrical stimulator with mechanomyography-based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study

2020 ◽  
Vol 65 (4) ◽  
pp. 461-468
Author(s):  
Jannatul Naeem ◽  
Nur Azah Hamzaid ◽  
Amelia Wong Azman ◽  
Manfred Bijak
Keyword(s):  
Muscle Fatigue ◽  
Real Time ◽  
Isometric Force ◽  
Mean Square ◽  
Clear Indication ◽  
Initial Value ◽  
Cord Injury ◽  
The Mean ◽  
Electrical Stimulator ◽  
Fatigue Detection

AbstractFunctional electrical stimulation (FES) has been used to produce force-related activities on the paralyzed muscle among spinal cord injury (SCI) individuals. Early muscle fatigue is an issue in all FES applications. If not properly monitored, overstimulation can occur, which can lead to muscle damage. A real-time mechanomyography (MMG)-based FES system was implemented on the quadriceps muscles of three individuals with SCI to generate an isometric force on both legs. Three threshold drop levels of MMG-root mean square (MMG-RMS) feature (thr50, thr60, and thr70; representing 50%, 60%, and 70% drop from initial MMG-RMS values, respectively) were used to terminate the stimulation session. The mean stimulation time increased when the MMG-RMS drop threshold increased (thr50: 22.7 s, thr60: 25.7 s, and thr70: 27.3 s), indicating longer sessions when lower performance drop was allowed. Moreover, at thr70, the torque dropped below 50% from the initial value in 14 trials, more than at thr50 and thr60. This is a clear indication of muscle fatigue detection using the MMG-RMS value. The stimulation time at thr70 was significantly longer (p = 0.013) than that at thr50. The results demonstrated that a real-time MMG-based FES monitoring system has the potential to prevent the onset of critical muscle fatigue in individuals with SCI in prolonged FES sessions.

scholarly journals Experimental evidence for real-time song frequency shift in response to urban noise in a passerine bird

2012 ◽  
Vol 8 (2) ◽  
pp. 320-320 ◽  
Author(s):  
Eira Bermúdez-Cuamatzin ◽  
Alejandro A. Ríos-Chelén ◽  
Diego Gil ◽  
Constantino Macías Garcia
Keyword(s):  
Frequency Shift ◽  
Experimental Evidence ◽  
Real Time ◽  
Passerine Bird ◽  
Urban Noise ◽  
Song Frequency

Real-Time Measurement Method of Doppler Based on GPS Carrier Signals

2012 ◽  
Vol 226-228 ◽  
pp. 2050-2055 ◽  
Author(s):  
Shao Feng Dong ◽  
Bao Qiang Du ◽  
Wei Zhou
Keyword(s):  
Frequency Shift ◽  
Real Time ◽  
Measurement Method ◽  
Dynamic Range ◽  
Time Synchronization ◽  
Influencing Factor ◽  
Doppler Frequency ◽  
Time Measurement ◽  
Time Frequency ◽  
Real Time Measurement

According to Doppler effect of satellite on the time synchronization technology between satellite and the ground station, a real-time measurement method of Doppler is proposed based on GPS carrier signals. Using Doppler observations from GPS receiver, the method can real-timely measure Doppler frequency shift of GPS including dynamic Doppler and media Doppler whose error can be timely modified in the receiver end. Simulation results show that the frequency shift caused by dynamic Doppler, a main influencing factor in the course of transmission of time-frequency signal by GPS satellite, is between plus or minus several thousands Hz. Comparing to traditional measurement method of Doppler, the method makes it possible to fast track phase of signal in large dynamic range in synchronous technology.

scholarly journals Muscle fatigue detection and treatment system driven by internet of things

2019 ◽  
Vol 19 (S7) ◽  
Author(s):  
Bin Ma ◽  
Chunxiao Li ◽  
Zhaolong Wu ◽  
Yulong Huang ◽  
Ada Chaeli van der Zijp-Tan ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Internet Of Things ◽  
Response Time ◽  
Muscle Fatigue ◽  
Real Time ◽  
Pulse Width Modulation ◽  
Health Related ◽  
Consistent Change ◽  
High Utility ◽  
Fatigue Detection

Abstract Background Internet of things is fast becoming the norm in everyday life, and integrating the Internet into medical treatment, which is increasing day by day, is of high utility to both clinical doctors and patients. While there are a number of different health-related problems encountered in daily life, muscle fatigue is a common problem encountered by many. Methods To facilitate muscle fatigue detection, a pulse width modulation (PWM) and ESP8266-based fatigue detection and recovery system is introduced in this paper to help alleviate muscle fatigue. The ESP8266 is employed as the main controller and communicator, and PWM technology is employed to achieve adaptive muscle recovery. Muscle fatigue can be detected by surface electromyography signals and monitored in real-time via a wireless network. Results With the help of the proposed system, human muscle fatigue status can be monitored in real-time, and the recovery vibration motor status can be optimized according to muscle activity state. Discussion Environmental factors had little effect on the response time and accuracy of the system, and the response time was stable between 1 and 2 s. As indicated by the consistent change of digital value, muscle fatigue was clearly diminished using this system. Conclusions Experiments show that environmental factors have little effect on the response time and accuracy of the system. The response time is stably between 1 and 2 s, and, as indicated by the consistent change of digital value, our systems clearly diminishes muscle fatigue. Additionally, the experimental results show that the proposed system requires minimal power and is both sensitive and stable.

Impact of New Input Technology on Design of Chair Armrests: Investigation on Keyboard and Mouse

1996 ◽  
Vol 40 (7) ◽  
pp. 380-384 ◽  
Author(s):  
Rajendra Paul ◽  
Rani Lueder ◽  
Allen Selner ◽  
Jayant Limaye
Keyword(s):  
Frequency Shift ◽  
Muscle Fatigue ◽  
Surface Electromyography ◽  
Random Sequence ◽  
Input Device ◽  
Experimental Conditions ◽  
Working Posture ◽  
Arm Support ◽  
Postural Analysis ◽  
Forearm Flexor

This study investigated the effects of addition of a mouse input device on the design of chair armrests. Eleven subjects performed a VDT task for four hours sitting in a chair under three armrest conditions: 1) no armrests, 2) height adjustable armrests, and 3) height and rotation adjustable armrests. The VDT task consisted of 90 minutes of graphics work using a mouse and 60 minutes of keying. The three experimental conditions were performed on three separate days in a random sequence. Muscle fatigue in the forearm (flexor and extensor) and neck-shoulder(trapezius) muscles was measured using surface electromyography. Subjects' working posture was measured using a SVHS camera and postural analysis was conducted using the Ariel Digitizing System. Discomfort and subjective preferences were recorded using the Corlett Scale and other questionnaires. The results suggest that height-adjustable armrests did not provide effective forearm support during mouse use; while the height and rotation adjustable armrests provided superior arm support. For keyboard work, both armrests reduced neck and shoulder fatigue measured in terms of the frequency shift. These results highlight the need for proactive research to tailor workplace design to match the demands imposed by new office technologies.

Real-Time FFT to Monitor Muscle Fatigue

1986 ◽  
Vol BME-33 (11) ◽  
pp. 1049-1051 ◽  
Author(s):  
L. Basano ◽  
P. Ottonello
Keyword(s):  
Muscle Fatigue ◽  
Real Time
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