Autonomic Nervous System Adaptation to Supernumerary Robotic Finger Use: Coherence Analysis of RR Intervals Before and After Training

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Authors: Sona Alyounis, Mohammad I. Awad, Rateb Katmah, Feryal A. Alskafi, Herbert F. Jelinek, Kinda Khalaf
Cited by: 1
References: 84

Abstract

Supernumerary robotic fingers (SRFs) are wearable assistive devices, which are increasingly incorporated into robotic rehabilitation programs aimed at restoring upper-limb function and promoting task-specific compensation. Despite growing evidence of SRF efficacy in improving motor performance, limited attention has been given to physiological adaptation and autonomic nervous system (ANS) integration during SRF use. This study investigated phase coherence (PC) and amplitude-weighted phase coherence (AWPC) of RR intervals derived from photoplethysmogram (PPG) as noninvasive biomarkers for autonomic nervous system adaptation during SRF-assisted activities of daily living. Thirty healthy participants completed a baseline (no SRF), pre-training SRF application and post-training SRF use, including rest periods protocol. Drinking water, driving and shape sorting were the functional activities of daily living (ADLs) that had to be completed. The results for PC and AWPC in the low (0.04-0.15) and high (0.15-0.4) frequency bands indicated an overall significant reduction in stress associated with SRF use (p

Fields of Study & Subjects

Tactile and Sensory Interactions Muscle activation and electromyography studies Stroke Rehabilitation and Recovery

Publication details

Journal / source
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
34
Pages
820–833
Publication date
1 January 2026
Language
EN