{"title":"研究人工智能增强型远程康复对肌肉疏松老年人的疗效。","authors":"Meiqi Wei, Deyu Meng, Shichun He, Zongnan Lv, Hongzhi Guo, Guang Yang, Ziheng Wang","doi":"10.1007/s41999-024-01082-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study explores the effectiveness of 3D pose estimation technology in Yi Jin Jing (a traditional Chinese exercise) interventions for sarcopenic older individuals.</p><p><strong>Design: </strong>A randomized controlled trial involving 93 participants (mean age: 71.64 ± 7.09 years; 41 males and 52 females) divided into three groups: a face-to-face offline traditional training group (OFFG), a general remote online training group (ONG), and an AI-based online remote training group (AIONG).</p><p><strong>Methods: </strong>Participants in each group underwent their respective training programs. The effectiveness of the interventions was measured using Appendicular Skeletal Muscle Mass Index, Grip Strength, 6-meter Walking Speed, Timed-Up-and-Go Test, and Quality of Life assessments.</p><p><strong>Results: </strong>Significant improvements were observed across all groups in ASMI, Grip Strength, 6-meter Walking Speed, TUGT, and QoL. However, there were no statistically significant differences between the groups in terms of the magnitude of these improvements. AIONG showed outcomes comparable to OFFG and ONG methods.</p><p><strong>Conclusions: </strong>AI-based telerehabilitation with 3D pose estimation is a viable and effective alternative for remote exercise interventions. It offers precise guidance and enhances the quality of rehabilitation training, demonstrating outcomes comparable to traditional and general online methods.</p>","PeriodicalId":49287,"journal":{"name":"European Geriatric Medicine","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigating the efficacy of AI-enhanced telerehabilitation in sarcopenic older individuals.\",\"authors\":\"Meiqi Wei, Deyu Meng, Shichun He, Zongnan Lv, Hongzhi Guo, Guang Yang, Ziheng Wang\",\"doi\":\"10.1007/s41999-024-01082-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>This study explores the effectiveness of 3D pose estimation technology in Yi Jin Jing (a traditional Chinese exercise) interventions for sarcopenic older individuals.</p><p><strong>Design: </strong>A randomized controlled trial involving 93 participants (mean age: 71.64 ± 7.09 years; 41 males and 52 females) divided into three groups: a face-to-face offline traditional training group (OFFG), a general remote online training group (ONG), and an AI-based online remote training group (AIONG).</p><p><strong>Methods: </strong>Participants in each group underwent their respective training programs. The effectiveness of the interventions was measured using Appendicular Skeletal Muscle Mass Index, Grip Strength, 6-meter Walking Speed, Timed-Up-and-Go Test, and Quality of Life assessments.</p><p><strong>Results: </strong>Significant improvements were observed across all groups in ASMI, Grip Strength, 6-meter Walking Speed, TUGT, and QoL. However, there were no statistically significant differences between the groups in terms of the magnitude of these improvements. AIONG showed outcomes comparable to OFFG and ONG methods.</p><p><strong>Conclusions: </strong>AI-based telerehabilitation with 3D pose estimation is a viable and effective alternative for remote exercise interventions. It offers precise guidance and enhances the quality of rehabilitation training, demonstrating outcomes comparable to traditional and general online methods.</p>\",\"PeriodicalId\":49287,\"journal\":{\"name\":\"European Geriatric Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Geriatric Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s41999-024-01082-y\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Geriatric Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s41999-024-01082-y","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
Investigating the efficacy of AI-enhanced telerehabilitation in sarcopenic older individuals.
Objective: This study explores the effectiveness of 3D pose estimation technology in Yi Jin Jing (a traditional Chinese exercise) interventions for sarcopenic older individuals.
Design: A randomized controlled trial involving 93 participants (mean age: 71.64 ± 7.09 years; 41 males and 52 females) divided into three groups: a face-to-face offline traditional training group (OFFG), a general remote online training group (ONG), and an AI-based online remote training group (AIONG).
Methods: Participants in each group underwent their respective training programs. The effectiveness of the interventions was measured using Appendicular Skeletal Muscle Mass Index, Grip Strength, 6-meter Walking Speed, Timed-Up-and-Go Test, and Quality of Life assessments.
Results: Significant improvements were observed across all groups in ASMI, Grip Strength, 6-meter Walking Speed, TUGT, and QoL. However, there were no statistically significant differences between the groups in terms of the magnitude of these improvements. AIONG showed outcomes comparable to OFFG and ONG methods.
Conclusions: AI-based telerehabilitation with 3D pose estimation is a viable and effective alternative for remote exercise interventions. It offers precise guidance and enhances the quality of rehabilitation training, demonstrating outcomes comparable to traditional and general online methods.
期刊介绍:
European Geriatric Medicine is the official journal of the European Geriatric Medicine Society (EUGMS). Launched in 2010, this journal aims to publish the highest quality material, both scientific and clinical, on all aspects of Geriatric Medicine.
The EUGMS is interested in the promotion of Geriatric Medicine in any setting (acute or subacute care, rehabilitation, nursing homes, primary care, fall clinics, ambulatory assessment, dementia clinics..), and also in functionality in old age, comprehensive geriatric assessment, geriatric syndromes, geriatric education, old age psychiatry, models of geriatric care in health services, and quality assurance.