Wireless Bio signal Acquisition Electrode module for EMG

Kumar, Sumit; Swathy, M.; Vidya, M. J.; Poojaa, K; Manikandan, G.; Jennifer, A Aarthi

doi:10.1109/icicct.2018.8473018

Cited by 8 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Electromyography (EMG) signals indicate muscle responses according to stimulation by the brain, transmitted through nerves [ 93 ]. To enable patient mobility, EMG measurements should be performed by miniaturized equipment, e.g., based on Arduino microcontroller boards [ 93 ]. In this way, recovering patients are supported during training [ 94 ].…”

Section: Emg Measurementsmentioning

confidence: 99%

Measuring Biosignals with Single Circuit Boards

Ehrmann¹,

Błachowicz

Homburg

et al. 2022

Bioengineering

View full text Add to dashboard Cite

To measure biosignals constantly, using textile-integrated or even textile-based electrodes and miniaturized electronics, is ideal to provide maximum comfort for patients or athletes during monitoring. While in former times, this was usually solved by integrating specialized electronics into garments, either connected to a handheld computer or including a wireless data transfer option, nowadays increasingly smaller single circuit boards are available, e.g., single-board computers such as Raspberry Pi or microcontrollers such as Arduino, in various shapes and dimensions. This review gives an overview of studies found in the recent scientific literature, reporting measurements of biosignals such as ECG, EMG, sweat and other health-related parameters by single circuit boards, showing new possibilities offered by Arduino, Raspberry Pi etc. in the mobile long-term acquisition of biosignals. The review concentrates on the electronics, not on textile electrodes about which several review papers are available.

show abstract

Section: Emg Measurementsmentioning

confidence: 99%

Measuring Biosignals with Single Circuit Boards

Ehrmann¹,

Błachowicz

Homburg

et al. 2022

Bioengineering

View full text Add to dashboard Cite

show abstract

“…The electrode used is Ag-ACL disposable electrode. The Electromyography block module circuit consists of an instrumentation amplifier circuit that uses an Op-Amp TL074 IC [11], a high pass filter circuit that uses a TL074 IC, a low pass filter circuit that uses a TL074 IC, and an adder circuit consisting of a summing amplifier circuit using IC TL074 and a voltage divider circuit, the accelerometer circuit uses the MPU6050 sensor as the neck angle elevation sensor [12], the Atmega328 microcontroller as the sensor data processor [13]. Oscilloscope with digital storage (TEXTRONIC, DPO2012, Taiwan) to retrieve test point data on analog circuits.…”

Section: ) Materials and Toolmentioning

confidence: 99%

Design of an Electromyograph Equipped with Digital Neck Angle Elevation Gauge

Solihin

Yulianto

Ariswati

et al. 2021

j.electron.electromedical.eng.med.inform

View full text Add to dashboard Cite

The development of technology also affects human health, including body posture due to poor human position when using gadgets, both smartphones, and laptops. This study is design a tool that can measure the elevation of a person's neck angle equipped with electromyography, to help health workers, medical rehabilitation doctors to diagnose and provide treatment to patients with a bent head posture or forward head posture. In this research, an electromyography module is designed which consists of a series of instruments, a pre-amplifier circuit, a high pass filter, a low pass filter, and a dc offset regulator to be converted to digital so that it can be displayed on a laptop. In this study, the tapped muscle was the upper trapezius muscle using disposable electrodes. Meanwhile, to measure the angular elevation, the MPU 6050 sensor is used to measure the movement of the head forward. The frequency of the electromyography signal is 20-500 Hz. For software or display readings from this tool is Delphy. Meanwhile, the microcontroller used for ADC communication is Arduino Uno. From the research, it was found that the neck angle elevation gauge has a 0,597% error rate, for conditioning conducted on respondents, all respondents experienced a decrease in amplitude on the same frequency spectrum in the last ten minutes. Meanwhile, a drastic decrease occurred at the neck angle of 60°. Thus, it can be concluded that the forward position of the head affects the frequency spectrum of the neck muscles.

show abstract

“…Rahman et al [ 9 ] described the development of biosignal acquisition shields for Arduino architectures, but they also band-limited the signal to 150 Hz. More correctly, Logesh Kumar et al [ 10 ] used a custom-made biosignal amplifier, which, according to the schematics given in their paper, should have adequate bandwidth characteristics. Duc Minh Dao et al [ 11 ], along with Tariquzzaman et al [ 12 ], used a filtered-rectified EMG signal, as did other authors [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research

Staderini¹,

Mugnaini

Kambampati

et al. 2022

Sensors

View full text Add to dashboard Cite

Most students and researchers with limited funding are often looking for simple and low-cost devices for the acquisition of the electromyogram signal (EMG) in an educational or research setting. Thus, off-the-shelf devices are used and they have already been described in the literature, but they are used without considering their real performances, which are, in general, quite poor from the electronic and signal processing points of view. It is the purpose of this communication to present the evidence of these issues, and to describe an improved version of the “classical” duo, composed of the common ECG/EMG Olimex board and the Arduino microprocessor board. In this case, the Arduino-DUE is used. Three main points are highlighted in this paper: (a) the bandpass characteristics of the ECG/EMG Olimex board and how they can be improved to cope with EMG bandwidth requirements; (b) the increase in sampling frequency of the signal; and, finally, (c) the possibility of automatic detection of more ECG/EMG Olimex boards installed at the same time as the shields on the Arduino-DUE board. Very simple and low-cost modifications on the ECG/EMG Olimex board could deliver a much better performing multichannel EMG acquisition system, suitable for educational classroom experiments and early proof-of-concept research.

show abstract

Wireless Bio signal Acquisition Electrode module for EMG

Cited by 8 publications

References 5 publications

Measuring Biosignals with Single Circuit Boards

Measuring Biosignals with Single Circuit Boards

Design of an Electromyograph Equipped with Digital Neck Angle Elevation Gauge

Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research

Contact Info

Product

Resources

About