ArticleIEEE access : practical innovations, open solutions2020
Remote Physical Frailty Monitoring-The Application of Deep Learning-Based Image Processing in Tele-Health.
Article in IEEE access : practical innovations, open solutions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05754021 (Tele-CF), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Tele-CF: A Practical Platform for Remote Monitoring of Cognitive Frailty
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications of digital health technologies and artificial intelligence algorithms in COPD: systematic review.BMC medical informatics and decision making · 2025Pooled it
- Development and validation of a multidimensional physical function-focused frailty at risk index for early detection of functional decline in community-dwelling older adults.Scientific reports · 2026Article
- Telehealth pulmonary rehabilitation enhances functional capacity and quality of life in veterans with chronic obstructive pulmonary disease: a 12-week single-arm intervention study.Scientific reports · 2025Article
- Markerless Motion Capture Parameters Associated with Fall Risk or Frailty: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Artificial Intelligence to Diagnose Complications of Diabetes.Journal of diabetes science and technology · 2025Review
- A 20-s Video-Based Assessment of Cognitive Frailty: Results from a Cohort Study within the Precision Aging Network.Gerontology · 2025Article
- Decoding Precision Aging: The Intersection of Cognitive Decline, Frailty, and Hormonal Biomarkers.Gerontology · 2025Article
- Quantitative biomechanical analysis in validating a video-based model to remotely assess physical frailty: a potential solution to telehealth and globalized remote-patient monitoring.Biomedical engineering letters · 2024Article
- Towards a Remote Patient Monitoring Platform for Comprehensive Risk Evaluations for People with Diabetic Foot Ulcers.Sensors (Basel, Switzerland) · 2024Article
- The Application of Digital Frailty Screening to Triage Nonhealing and Complex Wounds.Journal of diabetes science and technology · 2024Article
- Spectrum Evaluation in CR-Based Smart Healthcare Systems Using Optimizable Tree Machine Learning Approach.Sensors (Basel, Switzerland) · 2023Article
- Cellular Senescence and Frailty in Transplantation.Current transplantation reports · 2023Article
- Deep Neural Network-Based Video Processing to Obtain Dual-Task Upper-Extremity Motor Performance Toward Assessment of Cognitive and Motor Function.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023Article
- A Review of Converging Technologies in eHealth Pertaining to Artificial Intelligence.International journal of environmental research and public health · 2022Review
- Feasibility of Virtual Assessment of Physical Frailty in Solid Organ Transplant Recipients: A Single Center, Observational Study.International journal of telerehabilitation · 2022Article
- Harnessing Digital Health to Objectively Assess Functional Performance in Veterans with Chronic Obstructive Pulmonary Disease.Gerontology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Remote screening physical frailty (PF) may assist in triaging patients with chronic obstructive pulmonary disease (COPD) who are in clinical priorities to visit a clinical center for preventive care. Conventional PF assessment tools have however limited feasibility for remote patient monitoring applications. To improve the safety of PF assessment, we previously developed and validated a quick and safe PF screening tool called Frailty Meter (FM). FM works by quantifying weakness, slowness, rigidity, and exhaustion during a 20-second repetitive elbow flexion/extension task using a wrist-worn sensor and generates a frailty index (FI) ranging from zero to one; higher values indicate progressively greater severity of frailty. However, the use of wrist-sensor limits its applications in telemedicine and remote patient monitoring. In this study, we developed a sensor-less FM based on deep learning-based image processing, which can be easily integrated into mobile health and enables remote assessment of physical frailty. The sensor-less FM extracts kinematic features of the forearm motion from the video of 20-second elbow flexion and extension recorded by a tablet camera, and then calculates frailty phenotypes and FI. To test the validity of sensor-less FM, 11 COPD patients admitted to a Telehealth pulmonary rehabilitation clinic and 10 healthy young volunteers (controls) were recruited. All participants completed the test indicating high feasibility. Strong correlations (0.72
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.