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Issue title: Recent Innovations on Biomedical Engineering
Guest editors: Wen-Hsiang Hsieh
Article type: Research Article
Authors: Lai, Yeong-Lina; * | Chen, Chin-Lingb | Chang, Ching-Hisangc | Hsu, Chih-Yud | Lai, Yeong-Kange | Tseng, Kuo-Kunf | Chen, Chih-Chenga | Zheng, Chun-Yia
Affiliations: [a] Department of Mechatronics Engineering, National Changhua University of Education, Changhua, Taiwan | [b] Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan | [c] Department of Health Care Administration, Chang Jung Christian University, Tainan, Taiwan | [d] Department of Information and Communication Engineering, Chaoyang University of Technology, Taichung, Taiwan | [e] Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan | [f] Shenzhen Graduate School, Harbin Institute of Technology, HIT Campus of Shenzhen University Town, Shenzhen, Guangdong, China
Correspondence: [*] Corresponding author: Yeong-Lin Lai, Department of Mechatronics Engineering, National Changhua University of Education, Changhua 50007, Taiwan. E-mail:[email protected]
Abstract: Long-term care (LTC) for the elderly has become extremely important in recent years. It is necessary for the different physiological monitoring systems to be integrated on the same interface to help oversee and manage the elderly's needs. This paper presents a novel health monitoring system for LTC services using radio-frequency identification (RFID) technology. Dual-band RFID protocols were included in the system, in which the high-frequency (HF) band of 13.56 MHz was used to identify individuals and the microwave band of 2.45 GHz was used to monitor physiological information. Distinct physiological data, including oxyhemoglobin saturation by pulse oximetry (SpO2), blood pressure, blood sugar, electrocardiogram (ECG) readings, body temperature, and respiration rate, were monitored by various biosensors. The intelligent RFID health monitoring system provided the features of the real-time acquisition of biomedical signals and the identification of personal information pertaining to the elderly and patients in nursing homes.
Keywords: Radio frequency identification (RFID), tag, reader, health monitoring, long-term care (LTC)
DOI: 10.3233/THC-151109
Journal: Technology and Health Care, vol. 24, no. s1, pp. S421-S431, 2016
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