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A method for locating surface electromyography electrodes on the flexor carpi ulnaris.
Tom Donnelly1, Nathan Routledge2, Elena Seminati3
1Centre for Accountable, Responsible, and Transparent AI (ART-AI), Department of Computer Science, University of Bath, Claverton Down, BA2 7AY, Bath, United Kingdom; Bath Institute for the Augmented Human, University of Bath, Claverton Down, BA2 7AY, Bath, United Kingdom.
A new method accurately locates surface electromyography (sEMG) electrodes on the flexor carpi ulnaris (FCU) muscle. This technique improves signal quality and consistency for clinical and human-machine interface applications.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Kinesiology
Background:
- The flexor carpi ulnaris (FCU) muscle is crucial for wrist flexion and ulnar deviation, widely used in surface electromyography (sEMG) for clinical and human-machine interface applications.
- Accurate sEMG electrode placement is vital due to small signal amplitudes and susceptibility to noise and crosstalk, yet no standardized method exists for the FCU muscle.
Purpose of the Study:
- To develop and validate a systematic, objective method for locating sEMG electrodes on the flexor carpi ulnarismuscle.
- To improve the consistency and reliability of sEMG data acquisition from the FCU muscle.
Main Methods:
- A novel technique was developed using palpation of the pisiform bone and humeral medial epicondyle to define the FCU muscle line.
- sEMG signals were recorded from three sites on the FCU muscle belly in both arms of 10 participants.
- Signal-to-noise ratio (SNR), mean absolute value (MAV), and frequency spectrum were analyzed to assess electrode placement efficacy.
Main Results:
- An electrode placement at 80% of the distance from the pisiform bone yielded the highest median SNR and MAV across participants.
- The proposed method demonstrated improved signal quality compared to subjective palpation techniques.
Conclusions:
- A systematic method for FCU sEMG electrode placement, based on anatomical landmarks, is presented.
- This technique reduces reliance on practitioner experience, offering a more consistent and reliable approach for clinical and engineering applications.
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