MOT: A Low-Latency, Multichannel Wireless Surface Electromyography Acquisition System Based on the AD8232 Front-End
Commercial wearable systems for surface electromyography (sEMG) acquisition often trade bandwidth, synchronization, and battery life for miniaturization, and their proprietary designs inhibit reproducibility and cost-effective customization. To address these limitations, we developed MOT, a fully wireless, multichannel platform built from commodity components that can be replicated in academic laboratories. Each sensor node integrates an AD8232 analog front-end configured for 19-690 Hz bandwidth (59 dB mid-band gain) with a 12-bit successive approximation ADC sampling at 1 kS/s. Packets of 120 samples are broadcast via the low-latency ESP-NOW 2.45 GHz protocol to a central hub, which timestamps and streams data to a host PC over USB-UART. Bench tests confirmed the analog response and showed mains interference at least 40 dB below voluntary contraction levels; the cumulative packet loss remained below 0.5% for six simultaneous channels at 100 m line-of-sight, with end-to-end latency under 3 ms. A 180 mAh Li-ion cell was used to power each node for 1.8 h of continuous operation at 100 mA average draw, and the complete sensor, including enclosure, was found to weigh 22 g. MOT reduced a 60 Hz artifact magnitude by up to 22 dB while preserving signal bandwidth. The hardware, therefore, provides a compact and economical solution for biomechanics, rehabilitation, and human-machine interface research that demands mobile, high-fidelity sEMG acquisition.
Authors
- Sérgio Francisco Pichorim (ORCID: https://orcid.org/0000-0003-4380-7499)
- Daniel Prado Campos (ORCID: https://orcid.org/0000-0001-6233-6077)
- José Jair Alves Mendes (ORCID: https://orcid.org/0000-0001-5578-7734)
- Augusto Tetsuo Prado Inafuco
- Pablo Machoski
Institutions
- Universidade Tecnológica Federal do Paraná (BR)
Publication Details
- Journal
- Sensors
- Published
- 2025-06-07
- DOI
- https://doi.org/10.3390/s25123600
- Citations
- 5
- Primary Topic
- Muscle activation and electromyography studies
- Type
- article
- Field-Weighted Citation Impact
- 3.37
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior