Center for Smart Health, University of California, Los Angeles, CA 90095, USA.
Probabilistic Risk Assessment Group, North Carolina State University, Raleigh, NC 27613, USA.
Sensors (Basel). 2023 Jul 25;23(15):6652. doi: 10.3390/s23156652.
Wearable devices and fitness trackers have gained popularity in healthcare and telemedicine as tools to reduce hospitalization costs, improve personalized health management, and monitor patients in remote areas. Smartwatches, particularly, offer continuous monitoring capabilities through step counting, heart rate tracking, and activity monitoring. However, despite being recognized as an emerging technology, the adoption of smartwatches in patient monitoring systems is still at an early stage, with limited studies delving beyond their feasibility. Developing healthcare applications for smartwatches faces challenges such as short battery life, wearable comfort, patient compliance, termination of non-native applications, user interaction difficulties, small touch screens, personalized sensor configuration, and connectivity with other devices. This paper presents a case study on designing an Android smartwatch application for remote monitoring of geriatric patients. It highlights obstacles encountered during app development and offers insights into design decisions and implementation details. The aim is to assist programmers in developing more efficient healthcare applications for wearable systems.
可穿戴设备和健身追踪器在医疗保健和远程医疗领域作为降低住院费用、改善个性化健康管理和监测远程地区患者的工具越来越受欢迎。智能手表通过计步、心率跟踪和活动监测提供连续监测功能。然而,尽管被认为是一项新兴技术,但智能手表在患者监测系统中的采用仍处于早期阶段,只有有限的研究深入探讨了其可行性。为智能手表开发医疗保健应用程序面临着一些挑战,例如电池寿命短、佩戴舒适性、患者依从性、非原生应用程序的终止、用户交互困难、小触摸屏、个性化传感器配置以及与其他设备的连接。本文介绍了一个针对老年患者远程监测的 Android 智能手表应用程序的设计案例研究。它强调了在应用程序开发过程中遇到的障碍,并提供了有关设计决策和实现细节的见解。目的是帮助程序员为可穿戴系统开发更高效的医疗保健应用程序。