Development of Data-Driven Metrics for Balance Impairment and Fall Risk Assessment in Older Adults-Reference-Cited by-同舟云学术

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Development of Data-Driven Metrics for Balance Impairment and Fall Risk Assessment in Older Adults

Published:2022-07 Issue:7 Volume:69 Page:2324-2332
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

McManus Killian¹^ORCID,Greene Barry R.²^ORCID,Ader Lilian Genaro Motti³,Caulfield Brian⁴^ORCID

Affiliation:

1. Kinesis Health Technologies, and Insight Centre, University College Dublin, Belfield, Dublin 4, Ireland

2. Kinesis Health Technologies Ltd, Ireland

3. Department of Computer Science and Information Systems, University of Limerick, Ireland

4. Insight Centre and School of Public Health, Physiotherapy and Sport Science, University College Dublin, Ireland

Funder

Irish Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/9799700/09681291.pdf?arnumber=9681291

Reference39 articles.

1. Combining Pattern Classifiers

2. On over-fitting in model selection and subsequent selection bias in performance evaluation;cawley;J Mach Learn Res,2010

3. Intraclass correlations: Uses in assessing rater reliability.

4. Fall Risk Assessment Through Automatic Combination of Clinical Fall Risk Factors and Body-Worn Sensor Data

5. Summary of the Updated American Geriatrics Society/British Geriatrics Society Clinical Practice Guideline for Prevention of Falls in Older Persons

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3. Fall-risk assessment of aged workers using wearable inertial measurement units based on machine learning;Safety Science;2024-08

4. A Cloud-Based WEB Platform for Fall Risk Assessment Using a Therapist-Centered User Interface Which Enables Patients’ Tracking Remotely;Electronics;2024-06-06

5. Feasibility Study of a Prototype Wearable Inertial Measurement Unit for Elderly Postural Sway Assessment;Journal of Clinical Medicine Research;2024-04

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