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Unobtrusive Sensing Technologies for the Lifecare Solution

Unobtrusive Sensing Technologies for the Lifecare Solution Hindawi Journal of Healthcare Engineering Volume 2019, Article ID 7597190, 2 pages https://doi.org/10.1155/2019/7597190 Editorial 1 2 3 4 Hyun Jae Baek , Ahyoung Choi, Jilong Kuang, and Heenam Yoon Department of Medical and Mechatronics Engineering, Soonchunhyang University, Asan, Republic of Korea Department of Software, Gachon University, Seongnam, Republic of Korea Samsung Research America (SRA), Mountain View, CA, USA Artificial Intelligence Laboratory, Software Center, LG Electronics, Seoul, Republic of Korea Correspondence should be addressed to Hyun Jae Baek; hjbaek@sch.ac.kr Received 20 June 2019; Accepted 24 June 2019; Published 9 July 2019 Copyright © 2019 Hyun Jae Baek et al. $is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. $e paradigm for healthcare is not only transforming from that could contribute to the implementation of possible hospital-oriented treatments to individually centered future unobtrusive lifecare devices and identified the seven prevention but also extending its scope from disease- representative manuscripts submitted to the special issue. oriented to wellness-centered. One of the key re- $is special issue includes 1 review paper and 6 research papers on state-of-the-art health sensing technologies that quirements for care of entire life is to detect health and wellness status accurately and sustainably in various life are being studied and developed for lifecare. In the review scenarios [1]. article entitled “Current Status and Prospects of Health- A variety of technologies are currently used to track a Related Sensing Technology in Wearable Devices,” J. Cho person’s health and wellness status. $ey include elec- investigated the healthcare-sensing functions of current trodes, optical sensors, strain gauges, ultrasound devices, commercially available wrist-wearable devices and their etc., each of which has some drawbacks in terms of user technological limitations and prospects. In the article entitled experiences such as comfort and convenience or its per- “Noise-Robust Heart Rate Estimation Algorithm from formance, more specifically, accuracy. $e objective of Photoplethysmography Signal with Low Computational Complexity,” J. Shin and J. Cho applied noise robust oscil- emerging unobtrusive sensing technology is to enable sustainable tracking of physical activities and behaviors, as lator-based adaptive notch filter algorithm to trace the heart rate frequency in low signal-to-noise ratio PPG signal. In the well as physiological and biochemical parameters during daily life, while ensuring accuracy. $is may also include article entitled “Quantitative Assessment of Autonomic estimating health-related indexes that are difficult to Regulation of the Cardiac System,” J. K. Wu et al. described a measure unobtrusively by using a combination of various systematic method for the quantitative assessment of auto- physiological signals measured in a noninvasive and un- nomic cardiac system regulation based on homeostasis and obtrusive manner. probabilistic graphic model using physiological parameters. $e person being monitored would not even notice the In the article entitled “An Efficient Deep Learning Approach existence of the sensing device or procedure [2]. Un- to Pneumonia Classification in Healthcare,” O. Stephen et al. obtrusive sensing technologies, which can be imple- proposed a convolutional neural network model to extract features from a given chest X-ray image and classify it to mented in the form of wearables and IoTdevices, may be a good solution for the future lifecare, but there is a diffi- determine the presence of pneumonia. In the article entitled “Using Kinect v2 to Control a Laser Visual Cue System to culty in deriving useful information from low-quality signals [3, 4]. Improve the Mobility during Freezing of Gait in Parkinson’s $e goal of this special issue is to share cutting-edge Disease,” A. Amini et al. proposed a new indoor method for research and applications on unobtrusive sensing solutions casting dynamic and automatic visual cue for improving such as sensors, devices, and signal processing algorithms. mobility of people with Parkinson’s disease based on skeletal For this, the editorial team focused on the core technologies information acquired in real time from a Kinect v2. In the 2 Journal of Healthcare Engineering article entitled “Estimation of Breathing Rate with Confi- dence Interval Using Single-Channel CW Radar,” I. Nejadgholi et al. proposed an algorithm for breathing rate estimation from single-channel continuous wave radar using time-frequency analysis to extract Doppler frequency of the radar signal over time. In the article entitled “Development of a Wireless Health Monitoring System for Measuring Core Body Temperature from the Back of the Body,” Q. Wei et al. explored a wireless semiconductor sensor to measure core body temperature at the skin surface of the back under the neck. Conflicts of Interest $e editors declare that there are no conflicts of interest regarding the publication of this issue. Hyun Jae Baek Ahyoung Choi Jilong Kuang Heenam Yoon References [1] M. Flores, G. Glusman, K. Brogaard, N. D. Price, and L. Hood, “P4 medicine: how systems medicine will transform the healthcare sector and society,” Personalized Medicine, vol. 10, no. 6, pp. 565–576, 2013. [2] Y. G. Lim, K. H. Hong, K. K. Kim et al., “Monitoring physi- ological signals using nonintrusive sensors installed in daily life equipment,” Biomedical Engineering Letters, vol. 1, no. 1, pp. 11–20, 2011. [3] H. J. Baek, G. S. Chung, K. K. Kim, and K. S. Park, “A smart health monitoring chair for nonintrusive measurement of biological signals,” IEEE Transactions on Information Tech- nology in Biomedicine, vol. 16, no. 1, pp. 150–158, 2011. [4] U. Satija, B. Ramkumar, and M. S. Manikandan, “Real-time signal quality-aware ECG telemetry system for IoT-based health care monitoring,” IEEE Internet of 4ings Journal, vol. 4, no. 3, pp. 815–823, 2017. International Journal of Advances in Rotating Machinery Multimedia Journal of The Scientific Journal of Engineering World Journal Sensors Hindawi Hindawi Publishing Corporation Hindawi Hindawi Hindawi Hindawi www.hindawi.com Volume 2018 http://www www.hindawi.com .hindawi.com V Volume 2018 olume 2013 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 Journal of Control Science and Engineering Advances in Civil Engineering Hindawi Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 Submit your manuscripts at www.hindawi.com Journal of Journal of Electrical and Computer Robotics Engineering Hindawi Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 VLSI Design Advances in OptoElectronics International Journal of Modelling & Aerospace International Journal of Simulation Navigation and in Engineering Engineering Observation Hindawi Hindawi Hindawi Hindawi Volume 2018 Volume 2018 Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com www.hindawi.com www.hindawi.com Volume 2018 International Journal of Active and Passive International Journal of Antennas and Advances in Chemical Engineering Propagation Electronic Components Shock and Vibration Acoustics and Vibration Hindawi Hindawi Hindawi Hindawi Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Healthcare Engineering Hindawi Publishing Corporation

Unobtrusive Sensing Technologies for the Lifecare Solution

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Publisher
Hindawi Publishing Corporation
Copyright
Copyright © 2019 Hyun Jae Baek et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
ISSN
2040-2295
eISSN
2040-2309
DOI
10.1155/2019/7597190
Publisher site
See Article on Publisher Site

Abstract

Hindawi Journal of Healthcare Engineering Volume 2019, Article ID 7597190, 2 pages https://doi.org/10.1155/2019/7597190 Editorial 1 2 3 4 Hyun Jae Baek , Ahyoung Choi, Jilong Kuang, and Heenam Yoon Department of Medical and Mechatronics Engineering, Soonchunhyang University, Asan, Republic of Korea Department of Software, Gachon University, Seongnam, Republic of Korea Samsung Research America (SRA), Mountain View, CA, USA Artificial Intelligence Laboratory, Software Center, LG Electronics, Seoul, Republic of Korea Correspondence should be addressed to Hyun Jae Baek; hjbaek@sch.ac.kr Received 20 June 2019; Accepted 24 June 2019; Published 9 July 2019 Copyright © 2019 Hyun Jae Baek et al. $is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. $e paradigm for healthcare is not only transforming from that could contribute to the implementation of possible hospital-oriented treatments to individually centered future unobtrusive lifecare devices and identified the seven prevention but also extending its scope from disease- representative manuscripts submitted to the special issue. oriented to wellness-centered. One of the key re- $is special issue includes 1 review paper and 6 research papers on state-of-the-art health sensing technologies that quirements for care of entire life is to detect health and wellness status accurately and sustainably in various life are being studied and developed for lifecare. In the review scenarios [1]. article entitled “Current Status and Prospects of Health- A variety of technologies are currently used to track a Related Sensing Technology in Wearable Devices,” J. Cho person’s health and wellness status. $ey include elec- investigated the healthcare-sensing functions of current trodes, optical sensors, strain gauges, ultrasound devices, commercially available wrist-wearable devices and their etc., each of which has some drawbacks in terms of user technological limitations and prospects. In the article entitled experiences such as comfort and convenience or its per- “Noise-Robust Heart Rate Estimation Algorithm from formance, more specifically, accuracy. $e objective of Photoplethysmography Signal with Low Computational Complexity,” J. Shin and J. Cho applied noise robust oscil- emerging unobtrusive sensing technology is to enable sustainable tracking of physical activities and behaviors, as lator-based adaptive notch filter algorithm to trace the heart rate frequency in low signal-to-noise ratio PPG signal. In the well as physiological and biochemical parameters during daily life, while ensuring accuracy. $is may also include article entitled “Quantitative Assessment of Autonomic estimating health-related indexes that are difficult to Regulation of the Cardiac System,” J. K. Wu et al. described a measure unobtrusively by using a combination of various systematic method for the quantitative assessment of auto- physiological signals measured in a noninvasive and un- nomic cardiac system regulation based on homeostasis and obtrusive manner. probabilistic graphic model using physiological parameters. $e person being monitored would not even notice the In the article entitled “An Efficient Deep Learning Approach existence of the sensing device or procedure [2]. Un- to Pneumonia Classification in Healthcare,” O. Stephen et al. obtrusive sensing technologies, which can be imple- proposed a convolutional neural network model to extract features from a given chest X-ray image and classify it to mented in the form of wearables and IoTdevices, may be a good solution for the future lifecare, but there is a diffi- determine the presence of pneumonia. In the article entitled “Using Kinect v2 to Control a Laser Visual Cue System to culty in deriving useful information from low-quality signals [3, 4]. Improve the Mobility during Freezing of Gait in Parkinson’s $e goal of this special issue is to share cutting-edge Disease,” A. Amini et al. proposed a new indoor method for research and applications on unobtrusive sensing solutions casting dynamic and automatic visual cue for improving such as sensors, devices, and signal processing algorithms. mobility of people with Parkinson’s disease based on skeletal For this, the editorial team focused on the core technologies information acquired in real time from a Kinect v2. In the 2 Journal of Healthcare Engineering article entitled “Estimation of Breathing Rate with Confi- dence Interval Using Single-Channel CW Radar,” I. Nejadgholi et al. proposed an algorithm for breathing rate estimation from single-channel continuous wave radar using time-frequency analysis to extract Doppler frequency of the radar signal over time. In the article entitled “Development of a Wireless Health Monitoring System for Measuring Core Body Temperature from the Back of the Body,” Q. Wei et al. explored a wireless semiconductor sensor to measure core body temperature at the skin surface of the back under the neck. Conflicts of Interest $e editors declare that there are no conflicts of interest regarding the publication of this issue. Hyun Jae Baek Ahyoung Choi Jilong Kuang Heenam Yoon References [1] M. Flores, G. Glusman, K. Brogaard, N. D. Price, and L. Hood, “P4 medicine: how systems medicine will transform the healthcare sector and society,” Personalized Medicine, vol. 10, no. 6, pp. 565–576, 2013. [2] Y. G. Lim, K. H. Hong, K. K. Kim et al., “Monitoring physi- ological signals using nonintrusive sensors installed in daily life equipment,” Biomedical Engineering Letters, vol. 1, no. 1, pp. 11–20, 2011. [3] H. J. Baek, G. S. Chung, K. K. Kim, and K. S. Park, “A smart health monitoring chair for nonintrusive measurement of biological signals,” IEEE Transactions on Information Tech- nology in Biomedicine, vol. 16, no. 1, pp. 150–158, 2011. [4] U. Satija, B. Ramkumar, and M. S. Manikandan, “Real-time signal quality-aware ECG telemetry system for IoT-based health care monitoring,” IEEE Internet of 4ings Journal, vol. 4, no. 3, pp. 815–823, 2017. International Journal of Advances in Rotating Machinery Multimedia Journal of The Scientific Journal of Engineering World Journal Sensors Hindawi Hindawi Publishing Corporation Hindawi Hindawi Hindawi Hindawi www.hindawi.com Volume 2018 http://www www.hindawi.com .hindawi.com V Volume 2018 olume 2013 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 Journal of Control Science and Engineering Advances in Civil Engineering Hindawi Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 Submit your manuscripts at www.hindawi.com Journal of Journal of Electrical and Computer Robotics Engineering Hindawi Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 VLSI Design Advances in OptoElectronics International Journal of Modelling & Aerospace International Journal of Simulation Navigation and in Engineering Engineering Observation Hindawi Hindawi Hindawi Hindawi Volume 2018 Volume 2018 Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com www.hindawi.com www.hindawi.com Volume 2018 International Journal of Active and Passive International Journal of Antennas and Advances in Chemical Engineering Propagation Electronic Components Shock and Vibration Acoustics and Vibration Hindawi Hindawi Hindawi Hindawi Hindawi www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018 www.hindawi.com Volume 2018

Journal

Journal of Healthcare EngineeringHindawi Publishing Corporation

Published: Jul 9, 2019

References