Modelling Patient Behaviour Using IoT Sensor Data: a Case Study to Evaluate Techniques for Modelling Domestic Behaviour in Recovery from Total Hip Replacement Surgery.
Modelling Patient Behaviour Using IoT Sensor Data: a Case Study to Evaluate Techniques for Modelling Domestic Behaviour in Recovery from Total Hip Replacement Surgery.
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DOI：
10.1007/s41666-020-00072-6
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发表时间：
2020-09
影响因子：
5.9
通讯作者：
Flach P
中科院分区：
文献类型：
--
作者：
Holmes M;Nieto MP;Song H;Tonkin E;Grant S;Flach P
英国医疗服务每年约有16万例全髋关节或膝关节置换术，随着人口老龄化，这一数字预计将上升。随着人口趋势的变化，对手术结果的期望也在变化，而由于资源的限制，术后护理可能会中断。对健康结果的传统评估必须不断发展，以跟上这些不断变化的趋势。在手术前和手术后的几个月内，可以使用患者报告的结局指标（PROM）（如牛津髋关节或牛津膝关节评分）通过自我报告来评估健康结局。虽然被广泛使用，但许多PROM存在方法上的局限性，并且关于如何解释结果和临床意义变化的定义存在争议。随着家庭监测系统的发展，有机会在自然环境中研究PROM与行为之间的关系，并开发手术后结果和恢复的被动监测方法。在本文中，我们讨论的动机和技术用于长期连续观察运动，睡眠和家庭日常的医疗保健应用，如髋关节和膝关节置换患者的HEmiSPHERE项目。在本病例研究中，我们通过与PROMs的睡眠和运动质量评分进行比较，并与第三个对照家庭进行比较，评估了两名患者术后3个月观察期内收集的数据中明显的趋势。我们发现，加速度计和室内定位数据正确地突出了睡眠和运动质量的长期趋势，可用于预测睡眠和觉醒时间，并测量睡眠和觉醒随时间的变化，而室内定位为患者的家庭日常活动和移动性提供了背景。最后，我们讨论了一个可视化的方法与医疗保健专业人员分享的结果。
The UK health service sees around 160,000 total hip or knee replacements every year and this number is expected to rise with an ageing population. Expectations of surgical outcomes are changing alongside demographic trends, whilst aftercare may be fractured as a result of resource limitations. Conventional assessments of health outcomes must evolve to keep up with these changing trends. Health outcomes may be assessed largely by self-report using Patient Reported Outcome Measures (PROMs), such as the Oxford Hip or Oxford Knee Score, in the months up to and following surgery. Though widely used, many PROMs have methodological limitations and there is debate about how to interpret results and definitions of clinically meaningful change. With the development of a home-monitoring system, there is opportunity to characterise the relationship between PROMs and behaviour in a natural setting and to develop methods of passive monitoring of outcome and recovery after surgery. In this paper, we discuss the motivation and technology used in long-term continuous observation of movement, sleep and domestic routine for healthcare applications, such as the HEmiSPHERE project for hip and knee replacement patients. In this case study, we evaluate trends evident in data of two patients, collected over a 3-month observation period post-surgery, by comparison with scores from PROMs for sleep and movement quality, and by comparison with a third control home. We find that accelerometer and indoor localisation data correctly highlight long-term trends in sleep and movement quality and can be used to predict sleep and wake times and measure sleep and wake routine variance over time, whilst indoor localisation provides context for the domestic routine and mobility of the patient. Finally, we discuss a visual method of sharing findings with healthcare professionals.
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DOI：
10.3390/s17030529
发表时间：
2017-03-07
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Janidarmian M;Roshan Fekr A;Radecka K;Zilic Z
通讯作者：
Zilic Z
DOI：
10.9781/ijimai.2012.155
发表时间：
2012-06-01
影响因子：
3.6
作者：
Siirtola, Pekka;Roning, Juha
通讯作者：
Roning, Juha
影响因子：
1.9
作者：
Senden, Rachel;Grimm, Bernd;Heyligers, Ide C.
通讯作者：
Heyligers, Ide C.
影响因子：
2.4
作者：
Preston, Timothy;Baltzer, Wendy;Trost, Stewart
通讯作者：
Trost, Stewart
影响因子：
2.1
作者：
Stevens-Lapsley, Jennifer E.;Schenkman, Margaret L.;Dayton, Michael R.
通讯作者：
Dayton, Michael R.