• Electromyography (EMG) Signal...

Treffer: Electromyography (EMG) Signal Processing to Evaluate Low-Frequency Tremors.

Title:
Electromyography (EMG) Signal Processing to Evaluate Low-Frequency Tremors.
Authors:
O'Sullivan S; Department of Engineering & Technology, The Technological University of the Shannon: Midlands Midwest, N37 HD68 Athlone, Ireland., Daly M; Department of Engineering & Technology, The Technological University of the Shannon: Midlands Midwest, N37 HD68 Athlone, Ireland., Murray N; Department of Engineering & Technology, The Technological University of the Shannon: Midlands Midwest, N37 HD68 Athlone, Ireland., Rodrigues TB; Department of Engineering & Technology, The Technological University of the Shannon: Midlands Midwest, N37 HD68 Athlone, Ireland.
Source:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Dec 25; Vol. 26 (1). Date of Electronic Publication: 2025 Dec 25.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Imprint Name(s):
Original Publication: Basel, Switzerland : MDPI, c2000-
MeSH Terms:
Electromyography*/methods , Tremor*/physiopathology , Tremor*/diagnosis , Signal Processing, Computer-Assisted*, Humans ; Male ; Female ; Adult ; Parkinson Disease/physiopathology ; Parkinson Disease/diagnosis ; Muscle, Skeletal/physiopathology ; Muscle, Skeletal/physiology ; Forearm/physiology ; Muscle Contraction/physiology ; Young Adult
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Contributed Indexing:
Keywords: MDS-UPDRS; electromyography; healthy subjects; low frequency signals; movement disorders; signal processing; task based; tremors
Entry Date(s):
Date Created: 20260110 Date Completed: 20260110 Latest Revision: 20260113
Update Code:
20260113
PubMed Central ID:
PMC12788120
DOI:
10.3390/s26010157
PMID:
41516593
Database:
MEDLINE

Weitere Informationen

Objective quantification of tremor remains a challenge in Parkinson's disease (PD) assessment, with current clinical assessments relying largely on subjective scale ratings. This study evaluates the feasibility and signal behaviour of integrating surface electromyography (sEMG) with MDS-UPDRS-aligned tasks in a healthy adult cohort, with the aim of establishing normative low-frequency muscle activation profiles. Thirty-two healthy participants (mean age 27.6 ± 5.3 years) completed seven upper-limb tasks derived from the MDS-UPDRS while sEMG data were recorded from antagonistic forearm muscles. Signals were normalised using maximum voluntary contraction, filtered at 14 Hz, and analysed using frequency-domain (FFT) and time-frequency (STFT) methods. Significant task-dependent differences were observed in both frequency occurrence and magnitude ( p < 0.05), particularly within the 3.5-9 Hz range. Finger tapping elicited increased low-frequency activity compared to baseline, while pronation-supination produced the most stable and consistent muscle activation across participants. Frequencies above 12 Hz showed minimal task discrimination. These findings demonstrate that low-frequency tremor-like activity can occur during specific MDS-UPDRS tasks in healthy individuals and may require further validation before being considered suitable for PD staging. This work establishes normative sEMG benchmarks to support future clinical validation and PD cohort comparisons.