Alt Murphy Margit, Bergquist Filip, Hagström Bengt, Hernández Niina, Johansson Dongni, Ohlsson Fredrik, Sandsjö Leif, Wipenmyr Jan, Malmgren Kristina
Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Per Dubbsgatan 14, 3rd Floor, SE-41345 Gothenburg, Sweden.
Department of Pharmacology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
BMC Biomed Eng. 2019 Jan 30;1:3. doi: 10.1186/s42490-019-0002-3. eCollection 2019.
In neurology and rehabilitation the primary interest for using wearables is to supplement traditional patient assessment and monitoring in hospital settings with continuous data collection at home and in community settings. The aim of this project was to develop a novel wearable garment with integrated sensors designed for continuous monitoring of physiological and movement related variables to evaluate progression, tailor treatments and improve diagnosis in epilepsy, Parkinson's disease and stroke. In this paper the early development and evaluation of a prototype designed to monitor movements and heart rate is described. An iterative development process and evaluation of an upper body garment with integrated sensors included: identification of user needs, specification of technical and garment requirements, garment development and production as well as evaluation of garment design, functionality and usability. The project is a multidisciplinary collaboration with experts from medical, engineering, textile, and material science within the wearITmed consortium. The work was organized in regular meetings, task groups and hands-on workshops. User needs were identified using results from a mixed-methods systematic review, a focus group study and expert groups. Usability was evaluated in 19 individuals (13 controls, 6 patients with Parkinson's disease) using semi-structured interviews and qualitative content analysis.
The garment was well accepted by the users regarding design and comfort, although the users were cautious about the technology and suggested improvements. All electronic components passed a washability test. The most robust data was obtained from accelerometer and gyroscope sensors while the electrodes for heart rate registration were sensitive to motion artefacts. The algorithm development within the wearITmed consortium has shown promising results.
The prototype was accepted by the users. Technical improvements are needed, but preliminary data indicate that the garment has potential to be used as a tool for diagnosis and treatment selection and could provide added value for monitoring seizures in epilepsy, fluctuations in PD and activity levels in stroke. Future work aims to improve the prototype further, develop algorithms, and evaluate the functionality and usability in targeted patient groups. The potential of incorporating blood pressure and heart-rate variability monitoring will also be explored.
在神经病学和康复领域，使用可穿戴设备的主要目的是通过在家中和社区环境中持续收集数据，来补充医院环境中传统的患者评估和监测。本项目的目的是开发一种新型可穿戴服装，其集成了传感器，用于持续监测生理和与运动相关的变量，以评估癫痫、帕金森病和中风的病情进展、定制治疗方案并改善诊断。本文描述了一款旨在监测运动和心率的原型的早期开发与评估。一个集成了传感器的上身服装的迭代开发过程及评估包括：确定用户需求、明确技术和服装要求、服装开发与生产以及对服装设计、功能和可用性的评估。该项目是wearITmed联盟内医学、工程、纺织和材料科学领域专家的多学科合作。工作通过定期会议、任务小组和实践工作坊来组织开展。利用混合方法系统评价、焦点小组研究和专家组的结果确定用户需求。通过半结构化访谈和定性内容分析，对19名个体（13名对照者、6名帕金森病患者）的可用性进行了评估。
尽管用户对该技术持谨慎态度并提出了改进建议，但该服装在设计和舒适度方面得到了用户的良好认可。所有电子组件均通过了可洗性测试。从加速度计和陀螺仪传感器获得的数据最为可靠，而用于心率记录的电极对运动伪影敏感。wearITmed联盟内的算法开发已显示出有前景的结果。
该原型得到了用户的认可。虽然需要进行技术改进，但初步数据表明，该服装有潜力用作诊断和治疗选择的工具，并可为癫痫发作监测、帕金森病波动情况监测和中风患者活动水平监测提供附加价值。未来的工作旨在进一步改进原型、开发算法，并评估目标患者群体中的功能和可用性。还将探索纳入血压和心率变异性监测的潜力。
