淺談穿戴式智慧心臟照護──以「觀心自在」Vipasyana為例

Wearable Smart Cardiac Care: Take Vipasyana for Example

台灣社會人口結構快速老化，對醫療體系最直接的挑戰是勞動人口不足，大幅短缺醫護從業人員。結合人工智慧、物聯網、5G通訊等技術，醫療朝數位化、智慧化發展以提高醫療照護服務效率、鼓勵跨界合作完善病人的健康管理，並導入遠距照護等創新服務模式是主要發展趨勢。由國立陽明交通大學電機與資工跨域組成的研究團隊共同研發之穿戴式智慧心臟照護系統—「觀心自在」Vipasyana，除了有創新的全無線穿戴式少導極心電圖儀外，亦針對醫院急診與（加護）病房場域所需，設計心肌梗塞、心室頻脈/心室顫動、及心臟衰竭等機器學習檢測/預測方法。為能處理臨床落地使用時之即時串流大數據資料，「Vipasyana」進一步基於Apache Storm大數據框架，並結合微服務，發展大數據即時串流框架。此外，「Vipasyana」也發展手機App與虛擬實境3D巡房系統，提供醫護人員人性化且友善的管理與監控工具，為個別病人提供精準醫療服務。

The most direct challenge to the healthcare system in Taiwan associated with population aging is the chronic and growing shortfall in medical and nursing practitioners. The integration of artificial intelligence, Internet of Things, and advanced 5G communication technologies is making healthcare more streamlined and intuitive to improve healthcare service efficiency, encourage cross-disciplinary cooperation to improve patient health management, and introduce and mainstream innovative service models such as telecare. To this end, the wearable smart cardiac care system‘Vipasyana’, jointly developed by the interdisciplinary research team of the Departments of Electrical Engineering and Computer Science at National Yang Ming Chiao Tung University, not only has an innovative fully functional wireless wearable electrocardiograph but also uses machine learning-based detection/ prediction methods to detect and monitor for emergencies such as myocardial infarction, ventricular tachycardia/ventricular fibrillation, and heart failure. To handle the real-time streaming sensing data generated during clinical trials, a big data real-time streaming framework based on Apache Storm and microservices has also been integrated. In addition, a mobile phone app and virtual reality 3D ward round system providing a user-friendly management and monitoring tool for medical staffs were developed and integrated into the system. The‘Vipasyana’system is capable of providing precision medical services to individual patients.