ArticleScientific reports2023
Assessing physical abilities of sarcopenia patients using gait analysis and smart insole for development of digital biomarker.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 17 citations in OpenAlex.
- Comparing Stability, Gait, and Functional Score after 40-mm Dual-Mobility Hip Arthroplasty to 36-mm Head Hip Arthroplasty in Elderly Hip Fracture Patients.Clinics in orthopedic surgery · 2025Trial
- Wearable Technologies for Gait Instability Rehabilitation: Mechanisms, Clinical Evidence, and Future Directions.Bioengineering (Basel, Switzerland) · 2026Review
- Development and Clinical Application of Digital Biomarkers for Sarcopenia.Journal of bone metabolism · 2026Review
- Wearable Sensors and Artificial Intelligence for Ecological Knee Osteoarthritis Assessment: Development and Feasibility of a Hybrid Digital Phenotyping Framework.Sensors (Basel, Switzerland) · 2026Article
- Joint torque estimation from daily living motion for passive sarcopenia monitoring in older adults.Journal of neuroengineering and rehabilitation · 2026Article
- Video-estimated peak jump power using deep learning is associated with sarcopenia and low physical performance in adults.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025Article
- Cross-sectional study comparing smart insoles and manual methods for short physical performance battery in hip fracture patients.Aging clinical and experimental research · 2025Article
- Gait-Based AI Models for Detecting Sarcopenia and Cognitive Decline Using Sensor Fusion.Diagnostics (Basel, Switzerland) · 2024Article
- Advances in applying somatosensory interaction technology in geriatric care: A bibliometric analysis.International journal of nursing sciences · 2024Review
- Article
- Recent Update on the Prevalence of Sarcopenia in Koreans: Findings from the Korea National Health and Nutrition Examination Survey.Journal of bone metabolism · 2024Article
- Sarcopenia diagnosis using skeleton-based gait sequence and foot-pressure image datasets.Frontiers in public health · 2024Article
- Validation of the Short Physical Performance Battery via Plantar Pressure Analysis Using Commercial Smart Insoles.Sensors (Basel, Switzerland) · 2023Article
- Sarcopenia classification model for musculoskeletal patients using smart insole and artificial intelligence gait analysis.Journal of cachexia, sarcopenia and muscle · 2023Article
- Effective evaluation of HGcnMLP method for markerless 3D pose estimation of musculoskeletal diseases patients based on smartphone monocular video.Frontiers in bioengineering and biotechnology · 2023Article
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study is to compare variable importance across multiple measurement tools, and to use smart insole and artificial intelligence (AI) gait analysis to create variables that can evaluate the physical abilities of sarcopenia patients. By analyzing and comparing sarcopenia patients with non sarcopenia patients, this study aims to develop predictive and classification models for sarcopenia and discover digital biomarkers. The researchers used smart insole equipment to collect plantar pressure data from 83 patients, and a smart phone to collect video data for pose estimation. A Mann-Whitney U was conducted to compare the sarcopenia group of 23 patients and the control group of 60 patients. Smart insole and pose estimation were used to compare the physical abilities of sarcopenia patients with a control group. Analysis of joint point variables showed significant differences in 12 out of 15 variables, but not in knee mean, ankle range, and hip range. These findings suggest that digital biomarkers can be used to differentiate sarcopenia patients from the normal population with improved accuracy. This study compared musculoskeletal disorder patients to sarcopenia patients using smart insole and pose estimation. Multiple measurement methods are important for accurate sarcopenia diagnosis and digital technology has potential for improving diagnosis and treatment.
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