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EMG signals are used to assess a patient’s muscular health or to examine muscle activity. Commercial surface EMG systems, however, are pricy and use a lot of power.
The implementation of a surface EMG acquisition system that supports high sampling and extremely low power consumption measurement is the goal of this paper.
This study integrates an MCU with BLE and examines and optimizes each component of the EMG acquisition circuit.
Over the past ten years, more and more work has been done to integrate bioelectrical signals with the Internet of Things (IoT).
There are now more biometric sensor goods available, with the surface electromyogram being the most well-liked one (EMG).
Surface EMGs have been widely employed in a variety of applications, including games, rehabilitation medicine, motion analysis, measurement of muscle exhaustion, and prosthesis control.
By measuring the variations in the electrical potential between two sites on a muscle, the surface EMG sensor may record muscle activity.
The sensor’s non-invasive assessment also significantly reduces the danger of bacterial infection.
The Global Surface EMG sensor market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2022 to 2030.
The surface EMG sensors are unique in their designs and are available in wired and wireless versions.
Because the amplifier’s input impedance is greater than 100 Mohms, little to no skin preparation or the use of conducting gels is necessary.
With a range of up to 30 meters from its receiver, the DataLITE wireless EMG sensor is compact, lightweight, and incorporates algorithms for progressive frequency hopping, error detection, and data recovery.
As a result, muscle activity readings are smooth and reliable even in a typical work environment.
