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백현재(Hyun Jae Baek),조재걸(Jaegeol Cho) 대한전기학회 2018 전기학회논문지 Vol.67 No.7
Due to population aging, an increase in the number of patients with chronic illnesses, and an increase in the number of single-person households, monitoring of health status in everyday life without the need for a hospital has become very important. For this reason, researches on various health care devices have been attempted, among which wearable devices are attracting much attention. In this paper, we propose a new ring-type wearable device for next generation healthcare. On the inner side of the ring, a metal electrodes for GSR measurement and an optical sensor for measurement of pulse wave signals of two wavelengths of red and near-infrared light were mounted. In addition, it was equipped with an acceleration sensor, and information about the degree of motion could be obtained. In this paper, it is shown that a health monitoring device can be implemented in the form of a ring, and the measured signals can be used to calculate heart rate, oxygen saturation, sleep time and sleep efficiency. Through the advanced algorithm, it is expected that we can extract various health information, especially sleep related health information by using the ring device, and it is also expected that it can contribute to the implementation of wearable healthcare effectively.
웨어러블 기기를 위한 낮은 계산량을 갖는 운동 중 심박수 추정 알고리즘
백현재(Hyun Jae Baek),조재걸(Jaegeol Cho) 대한전기학회 2018 전기학회논문지 Vol.67 No.5
A novel heart rate estimation algorithm is presented based on normalized least-mean-square (NLMS) algorithm. This paper presented a three-step processing scheme for estimating heart rate from PPG signal with motion artifacts. The proposed active noise cancellation algorithm has low computational complexity compared to the NLMS algorithm. Experimental results show that the proposed algorithms perform similar with the previous algorithm under motion artifact noises.
Mental Task 수행에 의한 전전두엽 활성 영역의 fNIRS 기반 추정
홍승혁,이종민,허정,백현재,박광석,Hong, Seunghyeok,Lee, Jongmin,Heo, Jeong,Baek, Hyun Jae,Park, Kwang Suk 대한의용생체공학회 2015 의공학회지 Vol.36 No.5
The activation of prefrontal cortex of brain during some mental tasks like mental arithmetic induce has been studied using hemodynamic imaging modalities. In this study, we focused on the differentiation of activated area in local prefrontal brain caused by the different mental activities as well as evaluating the classification accuracy of in-house fNIRS system. The study preliminarily validated the device including the signal quality and tightness of contact between detectors and prefrontal area. Experimental results of mental tasks on 5 subjects showed the subject dependent tendencies in correlated prefrontal activation and the area of highest accuracy.