Using Medical-Device Wearable to Improve Hemodialysis Patient's Live and Access the Holistic Health

International Conference on Innovative Research - ICIR Euroinvent 2017

Chen, W.L.^1 ; Wu, C.-C.^2 ; Kan, C.D.^3

Department of Engineering and Maintenance, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan^1

Department of Mechanical Engineering, Chienkuo Technology University, Changhua City, Taiwan^2

Division of Cardiovascular Surgery, Department of Surgery National Cheng Kung University Hospital, College of Medicine, National Cheng University, Taiwan^3

关键词: Auto regressive models;    Encoding algorithms;    End stage renal disease;    Frequency spectra;    Hemodialysis patient;    Physiological signals;    Water content indices;    Wearable medical devices;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/209/1/012105/pdf
DOI  :  10.1088/1757-899X/209/1/012105

来源: IOP

【 摘 要 】

The increasing incidence of end-stage renal disease (ESRD) is the major burden to health budgets and a threat to public health worldwide. For many years, Taiwan has been ranked the first in the world for the number of hemodialysis patients. For solving the above-mentioned circumstance, we demonstrate the project, here, which goal is to construct the holistic health for hemodialysis patient. The project is to design a wearable medicine-device which can simultaneously measure and monitor the vital sign, including heart rate (HR), pulse oximetry (SPO2), continuous non-invasive blood pressure (c-NIBP), and total body water (TBW), of hemodialysis patient. By aid of the device we design, hemodialysis patients will get better health care than before. This device comprises three techniques. The first is named "Using phonoangiography technique to early detect the dysfunction of arteriovenous access by arteriovenous access (AVA) stenosis detector". The stenosis detector based on autoregressive model was employed to simultaneously estimate the status of AVA life cycle and to tract changes in frequency spectra. It helps hemodialysis patients to early detect the dysfunction of AVA and alarms them to make a return visit. The second technique is named "Physiological detecting device for wearable medical device and encoding algorithm development". The feature of the second technique is to optimize the prognosis by analyzing physiological signals, including water content index, pulse oximetry, and blood pressure in the meanwhile. The third technique is named "Intelligent and smart tourniquet". This technique aims to preclude AVA dysfunction caused by inappropriate hemostasis.