ArticleScientific reports2023
Discrimination of finger movements by magnetomyography with optically pumped magnetometers.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Live magnetomyography and robotic-hand proxy control using a wearable triaxial optically pumped magnetometer.Scientific reports · 2026Article
- The effect of sensor-to-source distance on magnetic neuromuscular signals.Scientific reports · 2025Article
- Phonation differentiation by non-contact laryngeal magnetomyography.Scientific reports · 2025Article
- Towards non-invasive imaging through spinal-cord generated magnetic fields.Frontiers in medical technology · 2024Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optically pumped magnetometers (OPM) are quantum sensors that offer new possibilities to measure biomagnetic signals. Compared to the current standard surface electromyography (EMG), in magnetomyography (MMG), OPM sensors offer the advantage of contactless measurements of muscle activity. However, little is known about the relative performance of OPM-MMG and EMG, e.g. in their ability to detect and classify finger movements. To address this in a proof-of-principle study, we recorded simultaneous OPM-MMG and EMG of finger flexor muscles for the discrimination of individual finger movements on a single human participant. Using a deep learning model for movement classification, we found that both sensor modalities were able to discriminate finger movements with above 89% accuracy. Furthermore, model predictions for the two sensor modalities showed high agreement in movement detection (85% agreement; Cohen's kappa: 0.45). Our findings show that OPM sensors can be employed for contactless discrimination of finger movements and incentivize future applications of OPM in magnetomyography.
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