Browsing by Author "Wang, Chen-An"

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Design of wearable and wireless multi-parameter monitoring system for evaluating cardiopulmonary function
(2017-09-01)
Li, Shih-Hong
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Lin, Bor-Shing
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Wang, Chen-An
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Yang, Cheng-Ta
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Lin, Bor-Shyh
The 6-minute walking test (6MWT) is the test most commonly used to evaluate cardiopulmonary function in patients with respiratory or heart disease. However, there was previously no integrated monitoring system available to simultaneously record both the real-time cardiopulmonary physiological parameters and the walking information (i.e., walking distance, speed, and acceleration) during the 6MWT. In this study, then, a wearable and wireless multi-parameter monitoring system was proposed to simultaneously monitor oxygen saturation (SpO(2)), heart rhythm, and the walking information during the 6MWT. A multi parameter detection algorithm was also designed to estimate the heart rate effectively. The results of the study indicate that this system was able to reveal the dynamic changes and differences in walking speed and acceleration during the 6MWT. As such, the system has the potential to provide a more integrated approach to monitoring cardiopulmonary parameters and walking information simultaneously during the 6MWT. The proposed system warrants further investigation as an assistive assessment tool in evaluating cardiopulmonary function and may be widely applied in cardiopulmonary-related and sports medicine applications in the future. (C) 2017 IPEM. Published by Elsevier Ltd. All rights reserved.
Design of Wearable Brain Computer Interface Based on Motor Imagery
(2014-01-01)
Lin, Chuan-Lung
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Chu, Tso-Yao
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Wu, Pei-Jung
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Wang, Chen-An
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Lin, Bor-Shyh
Brain computer interface (BCI) is a communication system to establish a communication interface between the brain and the device. Motor imagery-based brain computer interface is one of asynchronous BCIs, and have been widely developed in recent years. However, most of motor imagery-based BCI require bulk EEG machines, and lots of EEG data have to be transmitted to the back-end computer for analysis. This also causes the limitation of daily applications. In this study, a wearable motor-imagery-based BCI system with the least number of EEG channels was developed. In this system, the wearable mechanical design and the wireless EEG acquisition module were designed for measuring real time EEG in daily life. The modified BCI algorithm was also developed, and here only three channels are used to distinguish different events of motor imagery in this study. Finally, the proposed BCI system was also validated by the hand-motor imagery experiment.
Wireless Monitoring System for Oral-feeding Evaluation of Preterm Infants
(2014-01-01)
Wang, Chen-An
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Liao, Yi-Chien
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Wu, Pei-Jung
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Wang, Yu-Lin
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Lin, Bor-Shing
Feeding and swallowing disorders are relatively common in early infancy. In Clinical, it shows negative impacts on growth and neurodevelopmental, therefore it has become a high risk of neurodevelopmental delays in preterm infants. Oral feeding that requires suckling, swallowing, and breathing coordination, and it is the most complex sensorimotor process for the newborn infant. Currently, both preterm infant\'s oral feeding disorders and severity are dependent on subjective clinical experience. Directly monitoring sucking-swallowing-breathing activities of oral is difficult for preterm infants. In this study, a wireless monitoring system for oral feeding of preterm infants was developed to monitor the events of sucking-swallowing-breathing activities continuously and objectively. Finally, the experimental results show that the proposed system can detect the events of sucking, swallowing, and breathing activities effectively.
Wireless Monitoring System for Oral-Feeding Evaluation of Preterm Infants
(2015-10-01)
Chen, Chang-Ting
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Wang, Yu-Lin
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Wang, Chen-An
;
Ko, Mei-Ju
;
Fang, Wai-Chi
The oral feeding disorder is one of the important indicators for the high risk group of neurodevelopment delay. The procedure of oral feeding requires the coordination of sucking, swallowing, and breathing activities, and it is the most complex sensorimotor process for newborn infants. Premature infants often uneasily complete the procedure of oral feeding. However, the evaluation of the oral feeding disorders and severity are usually dependent on the subjective clinical experience of the physician. Monitoring the sucking-swallowing-breathing activities directly is difficult for preterm infants. In this study, a wireless monitoring system for oral-feeding evaluation of full term and preterm infants was proposed to objectively and quantitatively evaluate the coordination of suck-swallow-respiration function during oral feeding. Moreover, the ratios of the swallowing and breathing event numbers to the sucking event number were defined to evaluate the coordination of suck-swallow-respiration function during oral feeding. Finally, the system performance was validated and the coordination of suck-swallow-respiration function for full term and preterm infants during oral feeding was also investigated.