Gender Differences in Taste Sensations Based on Frequency Analysis of Surface Electromyography.

brain-computer interface facial muscles twitching frequency analysis gender difference surface electromyography taste sensations

Journal

Perceptual and motor skills
ISSN: 1558-688X
Titre abrégé: Percept Mot Skills
Pays: United States
ID NLM: 0401131

Informations de publication

Date de publication:
Jun 2023
Historique:
medline: 1 6 2023
pubmed: 4 5 2023
entrez: 3 5 2023
Statut: ppublish

Résumé

Males and females respond differently at the muscular level to various tastes and show varied responses when eating different foods. In this study, we used surface electromyography (sEMG) as a novel approach to examine gender differences in taste sensations. We collected sEMG data from 30 participants (15 males, 15 females) over various sessions for six taste states: a no-stimulation physiological state, sweet, sour, salty, bitter, and umami. We applied a Fast Fourier Transformation to the sEMG-filtered data and used a two-sample

Identifiants

pubmed: 37137713
doi: 10.1177/00315125231169882
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

938-957

Auteurs

Asif Ullah (A)

State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China.

Yifan Liu (Y)

State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China.

You Wang (Y)

State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China.

Han Gao (H)

State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China.

Zhiyuan Luo (Z)

Department of Computer Science, Royal Holloway, University of London, Egham, UK.

Guang Li (G)

State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China.

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Classifications MeSH