Photoplethysmography as a noninvasive surrogate for microneurography in measuring stress-induced sympathetic nervous activation — A machine learning approach

Rahman, Saifur; Udhayakumar, R; Kaplan, D; McCarthy, B; Dawood, T; Mellor, N; Senior, A; Macefield, VG; Buxi, D; Karmakar, Chandan

Photoplethysmography as a noninvasive surrogate for microneurography in measuring stress-induced sympathetic nervous activation — A machine learning approach

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posted on 2025-01-14, 02:44 authored by Saifur RahmanSaifur Rahman, R Udhayakumar, D Kaplan, B McCarthy, T Dawood, N Mellor, A Senior, VG Macefield, D Buxi, Chandan KarmakarChandan Karmakar

Photoplethysmography as a noninvasive surrogate for microneurography in measuring stress-induced sympathetic nervous activation — A machine learning approach

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DOI - Is version of https://doi.org/10.1016/j.compbiomed.2024.109522

Location

Amsterdam, The Netherlands

Open access

Yes

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Journal

Computers in Biology and Medicine

Volume

185

Article number

109522

Pagination

1-9

ISSN

0010-4825

eISSN

1879-0534

Publisher

Elsevier

Publication URL

https://doi.org/10.1016/j.compbiomed.2024.109522

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Keywords

Microneurography Photoplethysmography Spikes/50-R waves (SPR)Stress monitoring Sympathetic arousal Sympathetic nervous activity

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CC BY-NC-ND 4.0

Photoplethysmography as a noninvasive surrogate for microneurography in measuring stress-induced sympathetic nervous activation — A machine learning approach

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