Sarcopenia Diagnostic Technique Based on Artificial Intelligence Using Bio-signal of Neuromuscular System: A Proof-of-Concept Study-Reference-Cited by-同舟云学术

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Sarcopenia Diagnostic Technique Based on Artificial Intelligence Using Bio-signal of Neuromuscular System: A Proof-of-Concept Study

Published:2024 Issue:2 Volume:17 Page:
ISSN:1976-8753
Container-title:Brain & Neurorehabilitation
language:en
Short-container-title:Brain Neurorehabil

Author:

Song Kwangsub¹^ORCID,Park Hae-Yeon²^ORCID,Choi Sangui¹^ORCID,Song Seungyup²^ORCID,Rim Hanee³^ORCID,Yoon Mi-Jeong³^ORCID,Yoo Yeun Jie³^ORCID,Lee Hooman¹^ORCID,Im Sun²^ORCID

Affiliation:

1. Department of AI Research, EXOSYSTEMS, Seongnam, Korea.

2. Department of Rehabilitation Medicine, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.

3. Department of Rehabilitation Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Funder

Ministry of Trade, Industry and Energy

Publisher

XMLink

Link

https://e-bnr.org/pdf/10.12786/bn.2024.17.e12

Reference29 articles.

1. Sarcopenia as a risk factor for falls in elderly individuals: Results from the ilSIRENTE study

2. Severity of sarcopenia is associated with postural balance and risk of falls in community-dwelling older women

3. Sarcopenia is a risk factor for complications and an independent predictor of hospital length of stay in trauma patients

4. Sarcopenia, as defined by low muscle mass, strength and physical performance, predicts complications after surgery for colorectal cancer

5. Sarcopenia is associated with increased mortality but not complications following resection and reconstruction of sarcoma of the extremities

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