Wearable sensors-based assistive technologies for patient health monitoring.

IF 4.8 3区 工程技术 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Frontiers in Bioengineering and Biotechnology Pub Date : 2025-06-02 eCollection Date: 2025-01-01 DOI:10.3389/fbioe.2025.1437877
Nouf Abdullah Almujally, Danyal Khan, Naif Al Mudawi, Mohammed Alonazi, Haifa F Alhasson, Ahmad Jalal, Hui Liu
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引用次数: 0

Abstract

Introduction: With the advancement of handheld devices, patient health monitoring using wearable devices plays a vital role in overall health monitoring.

Methods: In this article, we have integrated multi-model bio-signals to monitor patient health data during daily life activities continuously. Two well-known datasets from ScientISST MOVE and mHealth have been analyzed. The purpose of this study is to explore the possibilities of using advanced bio-signals for monitoring patient vital signs during daily life activities and predicting favorable and more accurate health-related solutions based on current body health-related real-time measurements.

Results: With the help of machine learning algorithms, we have observed classification accuracy of up to 94.67% using the mHealth dataset and 95.12% on the ScientISST MOVE dataset. Other performance indicators, such as recall, precision, and F1 score, also performed well.

Discussion: Overall, integrating a machine learning model with bio-signals provides an enhanced ability to interpret complex real-time patient health monitoring for personalized care and overall smart healthcare.

基于可穿戴传感器的患者健康监测辅助技术。
导读:随着手持设备的进步,使用可穿戴设备进行患者健康监测在整体健康监测中起着至关重要的作用。方法:在本文中,我们集成了多模型生物信号,连续监测患者日常生活活动中的健康数据。我们分析了来自ScientISST MOVE和mHealth的两个知名数据集。本研究的目的是探索在日常生活活动中使用先进生物信号监测患者生命体征的可能性,并基于当前身体健康相关的实时测量预测有利和更准确的健康相关解决方案。结果:在机器学习算法的帮助下,我们观察到mHealth数据集的分类准确率高达94.67%,ScientISST MOVE数据集的分类准确率高达95.12%。其他性能指标,如召回率、准确率和F1分数也表现良好。讨论:总体而言,将机器学习模型与生物信号相结合,可以增强解释复杂的实时患者健康监测的能力,从而实现个性化护理和整体智能医疗保健。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Bioengineering and Biotechnology
Frontiers in Bioengineering and Biotechnology Chemical Engineering-Bioengineering
CiteScore
8.30
自引率
5.30%
发文量
2270
审稿时长
12 weeks
期刊介绍: The translation of new discoveries in medicine to clinical routine has never been easy. During the second half of the last century, thanks to the progress in chemistry, biochemistry and pharmacology, we have seen the development and the application of a large number of drugs and devices aimed at the treatment of symptoms, blocking unwanted pathways and, in the case of infectious diseases, fighting the micro-organisms responsible. However, we are facing, today, a dramatic change in the therapeutic approach to pathologies and diseases. Indeed, the challenge of the present and the next decade is to fully restore the physiological status of the diseased organism and to completely regenerate tissue and organs when they are so seriously affected that treatments cannot be limited to the repression of symptoms or to the repair of damage. This is being made possible thanks to the major developments made in basic cell and molecular biology, including stem cell science, growth factor delivery, gene isolation and transfection, the advances in bioengineering and nanotechnology, including development of new biomaterials, biofabrication technologies and use of bioreactors, and the big improvements in diagnostic tools and imaging of cells, tissues and organs. In today`s world, an enhancement of communication between multidisciplinary experts, together with the promotion of joint projects and close collaborations among scientists, engineers, industry people, regulatory agencies and physicians are absolute requirements for the success of any attempt to develop and clinically apply a new biological therapy or an innovative device involving the collective use of biomaterials, cells and/or bioactive molecules. “Frontiers in Bioengineering and Biotechnology” aspires to be a forum for all people involved in the process by bridging the gap too often existing between a discovery in the basic sciences and its clinical application.
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