Research Progress on the Application of Wearable Devices in Stroke Risk Prediction and Post-Stroke Management

doi:10.3969/j.issn.1673-5765.2025.01.007

Abstract

Abstract: Stroke is one of the leading causes of death and disability worldwide. Traditional monitoring and management approaches can no longer meet the growing health management needs of high-risk groups and patients with stroke. Wearable devices, with their real-time capabilities and portability features, present new solutions for stroke risk prediction and post-stroke management. By integrating with health management platforms and artificial intelligence algorithms, wearable devices can significantly enhance the accuracy of risk assessment, optimize rehabilitation treatment plans, and thus improve the patients’ outcomes. This paper reviews the research progress of wearable devices in stroke risk factor monitoring, risk prediction, personalized rehabilitation, and self-management. In the future, with further technological advancements, wearable devices are expected to provide more precise and efficient support for optimizing stroke prevention and management strategies.

Key words: Stroke; Wearable device; Risk factor; Stroke rehabilitation

摘要： 卒中是全球范围内导致死亡和残疾的主要疾病之一，传统的监测与管理手段已难以满足卒中高危人群及患者日益增长的健康管理需求。可穿戴设备凭借其实时性和便携性，为卒中风险预测和卒中后管理提供了新的解决方案，通过与健康管理平台和人工智能算法相结合，可显著提高风险评估的精确性，优化康复治疗方案，从而改善患者的预后。本文综述了可穿戴设备在卒中危险因素监测、风险预测、个性化康复及自我管理中的研究进展。未来，随着技术的进一步发展，可穿戴设备有望为卒中防治策略的优化提供更加精准和高效的支持。

关键词: 卒中; 可穿戴设备; 危险因素; 卒中康复

CLC Number:

R74
R318

WU Yating, WEI Chenming, SANG Zhenhua, CHEN Le, LIANG Yifan, WU Jian. Research Progress on the Application of Wearable Devices in Stroke Risk Prediction and Post-Stroke Management[J]. Chinese Journal of Stroke, 2025, 20(1): 55-62.

吴雅婷, 魏宸铭, 桑振华, 陈乐, 梁怡凡, 武剑. 可穿戴设备在卒中风险预测及卒中后管理中的应用进展[J]. 中国卒中杂志, 2025, 20(1): 55-62.

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