• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

可穿戴技术的临床应用

Clinical applications of wearable technology.

作者信息

Bonato Paolo

机构信息

Dept. of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6580-3. doi: 10.1109/IEMBS.2009.5333997.

DOI:10.1109/IEMBS.2009.5333997
PMID:19964699
Abstract

An important factor contributing to the process involved in choosing a rehabilitation intervention is the assessment of its impact on the real life of patients. Therapists and physicians have to infer the effectiveness of rehabilitation approaches from observations performed in the clinical setting and from patients' feedback. Recent advances in wearable technology have provided means to supplement the information gathered using tools based on patient's direct observation as well as interviews and questionnaires. A new generation of wearable sensors and systems has recently become available thus providing clinical personnel with a "window of observation" in the home and community settings. These tools allow one to capture patients' activity level and exercise compliance, facilitate titration of medications in chronic patients, and provide means to assess the ability of patients to perform specific motor activities. In this paper, we review recent advances in the field of wearable technology and provide examples of application of this technology in rehabilitation.

摘要

选择康复干预措施所涉及过程中的一个重要因素是评估其对患者现实生活的影响。治疗师和医生必须从临床环境中的观察以及患者反馈来推断康复方法的有效性。可穿戴技术的最新进展提供了补充信息的手段,这些信息是通过基于患者直接观察以及访谈和问卷的工具收集的。新一代可穿戴传感器和系统最近已经问世,从而为临床人员提供了家庭和社区环境中的“观察窗口”。这些工具能够捕捉患者的活动水平和运动依从性,有助于对慢性病患者进行药物滴定,并提供评估患者进行特定运动活动能力的手段。在本文中,我们回顾了可穿戴技术领域的最新进展,并给出了该技术在康复中的应用实例。

相似文献

1
Clinical applications of wearable technology.可穿戴技术的临床应用
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6580-3. doi: 10.1109/IEMBS.2009.5333997.
2
Advances in wearable technology for rehabilitation.用于康复的可穿戴技术进展
Stud Health Technol Inform. 2009;145:145-59.
3
Advances in wearable technology and its medical applications.可穿戴技术及其医学应用的进展。
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:2021-4. doi: 10.1109/IEMBS.2010.5628037.
4
A review of wearable sensors and systems with application in rehabilitation.可穿戴传感器及系统综述及其在康复中的应用。
J Neuroeng Rehabil. 2012 Apr 20;9:21. doi: 10.1186/1743-0003-9-21.
5
Wearable sensors and systems. From enabling technology to clinical applications.可穿戴传感器与系统。从使能技术到临床应用。
IEEE Eng Med Biol Mag. 2010 May-Jun;29(3):25-36. doi: 10.1109/MEMB.2010.936554.
6
Quantitative wearable sensors for objective assessment of Parkinson's disease.可穿戴式定量传感器用于帕金森病的客观评估。
Mov Disord. 2013 Oct;28(12):1628-37. doi: 10.1002/mds.25628. Epub 2013 Sep 12.
7
Quantified self and human movement: a review on the clinical impact of wearable sensing and feedback for gait analysis and intervention.量化自我与人体运动:关于可穿戴传感及反馈对步态分析与干预的临床影响的综述
Gait Posture. 2014;40(1):11-9. doi: 10.1016/j.gaitpost.2014.03.189. Epub 2014 Apr 6.
8
Longitudinal monitoring of patients with Parkinson's disease via wearable sensor technology in the home setting.通过可穿戴传感器技术在家庭环境中对帕金森病患者进行纵向监测。
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:1552-5. doi: 10.1109/IEMBS.2011.6090452.
9
New Sensor and Wearable Technologies to Aid in the Diagnosis and Treatment Monitoring of Parkinson's Disease.新型传感器和可穿戴技术有助于帕金森病的诊断和治疗监测。
Annu Rev Biomed Eng. 2019 Jun 4;21:111-143. doi: 10.1146/annurev-bioeng-062117-121036.
10
Role of body-worn movement monitor technology for balance and gait rehabilitation.可穿戴运动监测技术在平衡和步态康复中的作用。
Phys Ther. 2015 Mar;95(3):461-70. doi: 10.2522/ptj.20140253. Epub 2014 Dec 11.

引用本文的文献

1
Integrating Big Data, Artificial Intelligence, and motion analysis for emerging precision medicine applications in Parkinson's Disease.整合大数据、人工智能和运动分析,用于帕金森病新兴的精准医学应用。
J Big Data. 2024;11(1):155. doi: 10.1186/s40537-024-01023-3. Epub 2024 Oct 30.
2
Clinical Evaluation of Respiratory Rate Measurements on COPD (Male) Patients Using Wearable Inkjet-Printed Sensor.使用可穿戴喷墨打印传感器对慢性阻塞性肺疾病(男性)患者呼吸频率测量的临床评估
Sensors (Basel). 2021 Jan 11;21(2):468. doi: 10.3390/s21020468.
3
Accuracy of a Wrist-Worn Heart Rate Sensing Device during Elective Pediatric Surgical Procedures.
一种腕戴式心率传感设备在小儿择期外科手术过程中的准确性
Children (Basel). 2018 Mar 8;5(3):38. doi: 10.3390/children5030038.
4
Accuracy of a Wrist-Worn Wearable Device for Monitoring Heart Rates in Hospital Inpatients: A Prospective Observational Study.用于监测住院患者心率的腕戴式可穿戴设备的准确性:一项前瞻性观察研究。
J Med Internet Res. 2016 Sep 20;18(9):e253. doi: 10.2196/jmir.6025.
5
An Internet-based program for depression using activity and physiological sensors: efficacy, expectations, satisfaction, and ease of use.一款基于互联网、使用活动和生理传感器的抑郁症治疗程序:疗效、预期、满意度及易用性
Neuropsychiatr Dis Treat. 2016 Feb 23;12:393-406. doi: 10.2147/NDT.S93315. eCollection 2016.
6
A multi-channel opto-electronic sensor to accurately monitor heart rate against motion artefact during exercise.一种多通道光电传感器,用于在运动期间精确监测心率,以对抗运动伪影。
Sensors (Basel). 2015 Oct 12;15(10):25681-702. doi: 10.3390/s151025681.
7
Estimation of human trunk movements by wearable strain sensors and improvement of sensor's placement on intelligent biomedical clothes.可穿戴应变传感器估计人体躯干运动及智能生物医学服装上传感器位置的改进。
Biomed Eng Online. 2012 Dec 14;11:95. doi: 10.1186/1475-925X-11-95.
8
Recommended number of strides for automatic assessment of gait symmetry and regularity in above-knee amputees by means of accelerometry and autocorrelation analysis.推荐使用加速度计和自相关分析自动评估膝上截肢者步态对称性和规律性的步数。
J Neuroeng Rehabil. 2012 Feb 8;9:11. doi: 10.1186/1743-0003-9-11.