Evidence map›Paper›PMID 40573487›Full record

ArticleSensors (Basel, Switzerland)2025

MOT: A Low-Latency, Multichannel Wireless Surface Electromyography Acquisition System Based on the AD8232 Front-End.

Augusto Tetsuo Prado Inafuco, Pablo Machoski, Daniel Prado Campos, Sergio Francisco Pichorim, José Jair Alves Mendes Junior

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Augusto Tetsuo Prado InafucoGraduate Program in Electrical and Computing Engineering, Federal University of Technology, Curitiba 80230-901, PR, Brazil.
Pablo MachoskiDepartment of Electronics, Federal University of Technology, Curitiba 80230-901, PR, Brazil.
Daniel Prado CamposGraduate Program in Biomedical Engineering, Federal University of Technology, Curitiba 80230-901, PR, Brazil.ORCID 0000-0001-6233-6077
Sergio Francisco PichorimGraduate Program in Electrical and Computing Engineering, Federal University of Technology, Curitiba 80230-901, PR, Brazil.ORCID 0000-0003-4380-7499
José Jair Alves Mendes JuniorGraduate Program in Electrical and Computing Engineering, Federal University of Technology, Curitiba 80230-901, PR, Brazil.ORCID 0000-0001-5578-7734

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) 001
6 · The paper itself

Abstract

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.

Indexed as

AD8232 modulebiomedical instrumentationbiopotential acquisitionsurface electromyography

Identifiers

PMID40573487
PMCPMC12197071

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.