Jihoon Shin, Kwangsub Song, Sung-Woo Kim, Sangui Choi, Hooman Lee, Il-Soo Kim, Sun Im, Min Seok Baek
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引用次数: 0
摘要
在快速老龄化的国家,肌肉减少症是一个迅速上升的健康问题,但其苛刻的诊断过程是及时作出反应和制定积极战略的障碍。为了解决这个问题,我们的研究开发并评估了一种使用刺激肌肉收缩信号(SMCS)的新型肌肉减少症诊断系统,旨在促进社区环境中快速和可获得的诊断。我们在2022年7月至2023年10月期间从Wonju Severance Christian Hospital招募了199名成年人。SMCS数据是通过可穿戴设备exoPill的表面肌电传感器收集的。他们的骨骼肌质量指数、握力和步态速度也被测量作为参考。训练二元分类模型,根据AWGS截止值对每个诊断肌少症的标准进行分类。二元分类模型具有较高的判别能力,各指标的AUC得分接近0.9。结合这些标准评估,所提出的肌少症诊断系统在男性中的准确率为89.4%,女性为92.4%,敏感性为81.3%和87.5%,特异性为91.0%和93.8%。该系统通过提供一种快速、可靠和无创的方法,显著提高了肌肉减少症的诊断,适合广泛的社区使用。这一令人鼓舞的结果表明,SMCS包含了关于神经肌肉系统的广泛信息,这对于更有效地理解和管理肌肉健康至关重要。SMCS在远程患者护理和个人健康管理方面的潜力是巨大的,为无创健康监测和主动管理肌肉减少症和潜在的其他神经肌肉疾病开辟了新的途径。补充信息:在线版本包含补充资料,提供地址为10.1007/s13534-025-00461-z。
A wearable approach for Sarcopenia diagnosis using stimulated muscle contraction signal.
Sarcopenia is a rapidly rising health concern in the fast-aging countries, but its demanding diagnostic process is a hurdle for making timely responses and devising active strategies. To address this, our study developed and evaluated a novel sarcopenia diagnosis system using Stimulated Muscle Contraction Signals (SMCS), aiming to facilitate rapid and accessible diagnosis in community settings. We recruited 199 adults from Wonju Severance Christian Hospital between July 2022 and October 2023. SMCS data were collected using surface electromyography sensors with the wearable device exoPill. Their skeletal muscle mass index, handgrip strength, and gait speed were also measured as the reference. Binary classification models were trained to classify each criterion for diagnosing sarcopenia based on the AWGS cutoffs. The binary classification models achieved high discriminative abilities with an AUC score near 0.9 in each criterion. When combining these criteria evaluations, the proposed sarcopenia diagnosis system performance achieved an accuracy of 89.4% in males and 92.4% in females, sensitivities of 81.3% and 87.5%, and specificities of 91.0% and 93.8%, respectively. This system significantly enhances sarcopenia diagnostics by providing a quick, reliable, and non-invasive method, suitable for broad community use. The promising result indicates that SMCS contains extensive information about the neuromuscular system, which could be crucial for understanding and managing muscle health more effectively. The potential of SMCS in remote patient care and personal health management is significant, opening new avenues for non-invasive health monitoring and proactive management of sarcopenia and potentially other neuromuscular disorders.
Supplementary information: The online version contains supplementary material available at 10.1007/s13534-025-00461-z.
期刊介绍:
Biomedical Engineering Letters (BMEL) aims to present the innovative experimental science and technological development in the biomedical field as well as clinical application of new development. The article must contain original biomedical engineering content, defined as development, theoretical analysis, and evaluation/validation of a new technique. BMEL publishes the following types of papers: original articles, review articles, editorials, and letters to the editor. All the papers are reviewed in single-blind fashion.