TY - JOUR
T1 - Combining Non-Invasive Wearable Device and Intelligent Terminal in HealthCare IoT
AU - Ni, Jui Chung
AU - Yang, Chu Sing
AU - Huang, Jiun Kai
AU - Shiu, Liang Cheng
N1 - Funding Information:
This work was financially supported by the Ministry of Science and Technology Plan No: MOST 104-2221-E-006-119-MY3.
Funding Information:
the user can monitor self-vital information anytime but also medical institutions can access the data in case of an emergency. © 2019 The Authors. Published by Elsevier B.V. ©Th 2is0 1is9 aTnhoepAenutahcocress.s Paurbtilcilseh eudndbeyr EthlseeCviCer B BY.V-N. C-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) TPeheisr -irse vaniewopuendaecrc eressspaortniscilbei luintydeorf tohregCanCiz BinYg-NcoCm-NmDittelieceonfsteh(eh8tttphs:I/n/cterernataitvieocnoaml Cmongsr.eosrsg/olifceInfsoersm/bayt-inocn-nandd/4.C0o/)mmunication Selection and peer-review under responsibility of the 8th International Congress of Information and Communication Technology, PTeecrh-nreovloiegwy (uInCdIeCrT r-e2s0p1o9n)s.ibility of organizing committee of the 8th International Congress of Information and Communication Technology (ICICT-2019). Keywords: non-invasive, Wearable device, BLE, PVDF, intelligent terminal *aAbout the author: Li Ying (1985), female, Han nationality, Yantai, Shandong, Ph.D. student of Suzhou University, lecturer of information art Keywords: non-invasive, Wearable device, BLE, PVDF, intelligent terminal department of Shandong Business Institute, research direction: design science; bDuan Peng (1983-), male, Han nationality, Yantai, Shandong, a lecturer at the Innovation and Entrepreneurship Center of Shandong Business Institute, research direction: computer application technology; Fund Project: Shandong University Humanities and Social Sciences Research Project “Investigation on the Visualization of Qilu Classic Folk Art” (J16WH12); Shandong Provincial Social Science Planning Research Project “Qilu Folk Art Narrative Research Based on Information Art Research of Su Zuo
Publisher Copyright:
© 2019 The Authors. Published by Elsevier Ltd.
PY - 2018
Y1 - 2018
N2 - In recent years, many studies have focus on health care. We designed a non-invasive wearable device that not only equipped with BLE to detect vital signals but also combining an intelligent terminal to develop healthcare IoT. In most studies, an electrode potential is used in ECG, while for PPG, heart rates are measured by the amount of reflected LED light. However, in this paper, we detect heart vibration signals based on radial artery vibration signals by the wrist PVDF piezo film sensor that the user wears to detect his/her heart rate. The device can also reduce power consumption. In order to promote Signal to Noise Ratio (SNR), we adopt filter circuit design and peak detection algorithm to eliminate noise by using the intelligent terminal, then we are able to achieve high accuracy heart rate calculation. Furthermore, the intelligent terminal will upload the data to the cloud, so not only the user can monitor self-vital information anytime but also medical institutions can access the data in case of an emergency.
AB - In recent years, many studies have focus on health care. We designed a non-invasive wearable device that not only equipped with BLE to detect vital signals but also combining an intelligent terminal to develop healthcare IoT. In most studies, an electrode potential is used in ECG, while for PPG, heart rates are measured by the amount of reflected LED light. However, in this paper, we detect heart vibration signals based on radial artery vibration signals by the wrist PVDF piezo film sensor that the user wears to detect his/her heart rate. The device can also reduce power consumption. In order to promote Signal to Noise Ratio (SNR), we adopt filter circuit design and peak detection algorithm to eliminate noise by using the intelligent terminal, then we are able to achieve high accuracy heart rate calculation. Furthermore, the intelligent terminal will upload the data to the cloud, so not only the user can monitor self-vital information anytime but also medical institutions can access the data in case of an emergency.
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U2 - 10.1016/j.procs.2019.06.024
DO - 10.1016/j.procs.2019.06.024
M3 - Conference article
AN - SCOPUS:85074800288
SN - 1877-0509
VL - 154
SP - 161
EP - 166
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 9th International Conference of Information and Communication Technology, ICICT 2019
Y2 - 11 January 2019 through 13 January 2019
ER -