Open access · US-GOV via ClinicalTrials.gov Clinical trial

AIoT-Based Ergometer for Early Rehabilitation in Geriatric Wards: Supporting Physical Recovery in Frail Older Adult

Authors not listed

National Cheng Kung University · 2020

Dysbiosis Exercise Human Randomized controlled trial

Abstract

This clinical trial aims to evaluate the effectiveness of an Artificial Intelligence of Things (AIoT)-based feedback assistive strengthening ergometer (AIFASE) exercise system on frail older adults in geriatric wards. Baseline assessments will include physical fitness, functional performance, and frailty severity. Muscle strength of the major muscle groups in the upper and lower extremities will be evaluated at both baseline and post-intervention. Throughout the intervention, exercise-related data, including exercise duration, workload, heart rate, rate of perceived exertion (RPE), and blood oxygen saturation (SpO2) will be continuously and simultaneously collected for analysis.

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Provenance

Source: ClinicalTrials.gov
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Fetched: 2026-10-22 MST

Cite this

APA

Anonymous. (2020). AIoT-Based Ergometer for Early Rehabilitation in Geriatric Wards: Supporting Physical Recovery in Frail Older Adult. <em>National Cheng Kung University</em>. https://clinicaltrials.gov/study/NCT07698912

Vancouver

Anonymous. AIoT-Based Ergometer for Early Rehabilitation in Geriatric Wards: Supporting Physical Recovery in Frail Older Adult. National Cheng Kung University. 2020.

BibTeX

@misc{anon2020AIoTBa, title = {AIoT-Based Ergometer for Early Rehabilitation in Geriatric Wards: Supporting Physical Recovery in Frail Older Adult}, author = {Anonymous}, journal = {National Cheng Kung University}, year = {2020}, }