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    题名: W-Stroke Care: 以穿戴式裝置為基礎建置之 個人臨床中風復健輔助系統;W-Stroke Care: Wearable and Personal Application Development and Practice for Post-Stroke Rehabilitation
    作者: 陳右緯;Chen,Yu-Wei
    贡献者: 資訊工程學系
    关键词: 穿戴式裝置;中風;復健;Wearable devices;Stroke;Rehabilitation
    日期: 2016-07-22
    上传时间: 2016-10-13 14:23:54 (UTC+8)
    出版者: 國立中央大學
    摘要: 腦中風長年佔據國人十大死因的前三名,也是造成國人殘障的首要原因。腦中風病患在急性期過後,遺留之神經功能方面後遺症,可能嚴重影響患者日常及家庭生活。中風後肢體功能障礙的部份,建議把握急性中風後六個月的黃金治療期,靠著密集的復健治療達到良好的復原效果。但根據過往的研究分析,造成中風病患出院後無法返院持續積極復健的主因為排程不易,交通不便及家人時間無法配合等因素。利用智慧型手機及手錶等穿戴式裝置的普及性及可攜性,我們開發了一套專門用於中風復建的手機應用程式,協助患者能隨時隨地依照復健團隊的處方在院外做復健。而且這些復健的過程及成果都會被儲存下來,並上傳到雲端,讓被授權的醫護人員及復健治療師能更精確且及時確實地掌握病患在家復健的情況,作為臨床評估及追蹤病情後調整復健治療處方的依據,達到更有效的復健效果。在預防腦血管疾病方面,智慧型手機的應用程式內含可依據個人風險因子檢測的中風風險量表及中風防治保健的電子書。民眾可以透過這個專為中風防治而研發的手機應用程式,更了解中風這個疾病及保健,期望達到『全民防治中風』的目標。本系統與復健治療師共同研發的研究顯示,穿戴裝置的準確度高。本系統研發的目標在於整合內含偵測器、具無線傳輸的穿戴裝置及內含可處理相關生理訊號的手機應用程式,利用雲端強大的儲存及運算能力,配合智慧型手機的多媒體功能,發展適合病患使用的相關醫療保健運用,及利用復健輔助功能以增加在家復健的遵囑性。未來發展的目標在於結合新開發的穿戴式裝置及軟體運用,如虛擬實境及擴增實境,在無線網路環境與目前醫療團隊的醫療照護方式互相配合,達到全面監控防治中風的目標。;Stroke is the leading cause of disability around the world. Rehabilitation is crucial for post-stroke functional recovery, but the therapy could have limitation on available space, faculties and facility. The evolving mobile and wearable devices could be incorporated in the prevention and rehabilitation in the stroke system of care. We proposed a web-based customizable wearable sensor-driven system that allows people to be engaged in the post-stroke rehabilitation program by integration of smart watches and smartphones. The details of activity of individual patient could be sensed and recorded on the smartphones. Users could have a real-time feedback to themselves and the records will be uploaded to the database in the server, monitored in the web view by of the authorized medical staff and therapists. Due to its cross-platform and internet characteristics, more stroke patients could benefit from the system and the rehabilitation activity outside the institutes. The system, W-Stroke Care (named after “we” and “wearable”), also includes prediction model for stroke risk and an e-book for public health education. Six standard post-stroke rehabilitation programs were designed in the applications in the smartphones and the connecting smart watches. The accuracy of the system is validated using the motions of physical therapists as standards. We demonstrated that the internet-based rehabilitation programs could be performed with the wearable devices, the algorithms and assistance of the caregivers. With further investigation following the governance guidance, the system is aimed to integrate the new information technology of the wearable and mobile devices, virtual or augmented reality, in cooperation with the practice of the medical systems for ubiquitous stroke monitoring to facilitate public awareness of stroke, the efficiency of medical care and the prognosis of stroke patients.
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