Yeh, K.-Y.K.-Y.YehLin, T.-H.T.-H.LinHsieh, Y.-Y.Y.-Y.HsiehChang, C.-M.C.-M.ChangYang, Y.-J.Y.-J.YangLu, S.-S.S.-S.LuYAO-JOE YANG2020-01-132020-01-132018https://scholars.lib.ntu.edu.tw/handle/123456789/448449The pulse pressure variation associated with arterial blood flow is a valuable indicator for early diagnosis of cardiovascular diseases, which could lead to lots of health problems if left untreated. To detect the subtle wrist artery pressure, a cuffless wearable integrated system using a tunneling piezoresistive sensor, which achieves ultrahigh sensitivity, is presented in this paper. After the readout circuit amplifies and converts the pulse pressure-induced signal, a wireless communication module transmits the data to intellectual devices and eventually to the cloud storage. Real-time and sustainable pulse pressure monitoring is demonstrated from sensor detection to cloud computing. Through the digital signal processing, long-term pulse pressure monitoring improves the accuracy of cuffless applications, and measured data can accomplish cardiovascular event fast screening after being processed by Hilbert Huang transform (HHT), pulse rate variability (PRV), and multi-scale entropy (MSE) analysis. ? 2018 IEEE.[SDGs]SDG3Cloud computing; Diagnosis; Digital signal processing; Digital storage; Mathematical transformations; VLSI circuits; Wearable computers; Wireless telecommunication systems; Cardio-vascular disease; Hilbert Huang transforms; Multi-scale entropies; Piezo-resistive sensors; Pulse rate variability; Pulse-pressure variations; Ultra-high-sensitivity; Wireless communications; Wearable sensorsconference paper10.1109/VLSI-DAT.2018.83732512-s2.0-85049343871https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049343871&doi=10.1109%2fVLSI-DAT.2018.8373251&partnerID=40&md5=906794843771f4907886b912ffd020ce