Browsing by Author "Chou, Willy"

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Design of Smart Brain Oxygenation Monitoring System for Estimating Cardiovascular Disease Severity
(2020-01-01)
Chou, Willy
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Wu, Pei-Jung
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Fang, Chih-Chieh
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Yen, Yun-Shan
;
Lin, Bor-Shyh
Clinically, cardiovascular disease (CVD) patients need physicians to suggest different exercise training and rehabilitation procedures to improve their cardiopulmonary function (CPF). In previous studies, several approaches, such as cardiopulmonary exercise testing (CPET), echocardiography and computed tomography angiography (CTA), were proposed to indirectly estimate the rehabilitation effect on CPF. However, the above approached require experienced operators and complex equipment. In this study, a smart and wearable brain oxygenation monitoring system without motion artifact and crosstalk is proposed to estimate the blood circulation state of brain tissue directly during incremental exercise. Moreover, the technique of neural network is also used for classifying different CPF groups from the indexes extracted from the measured hemoglobin parameters. The experimental results show that the defined indexes extracted from the hemoglobin parameters can present the state of CPF, and the proposed smart brain oxygenation monitoring system can also effectively and automatically classify different CPF groups from these indexes via artificial intelligence. The proposed system therefore may assist physicians in the clinical evaluation of the CVD severity and rehabilitation effect on CPF in the future.
Development of a Wireless Oral-Feeding Monitoring System for Preterm Infants
(2015-05-01)
Wang, Yu-Lin
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Hung, Jing-Sheng
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Wang, Lin-Yu
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Ko, Mei-Ju
;
Chou, Willy
Oral-feeding disorder is common in preterm infants. It not only shows the adverse effect for growth and neurodevelopment in clinical but also becomes one of the important indicators of high-risk group for neurodevelopment delay in preterm infants. Preterm infants must coordinate the motor patterns of sucking, swallowing, and respiration skillfully to avoid choking, aspiration, oxygen desaturation, bradycardia, or apnea episodes. However, up to now, the judgment and classification severity in preterm infants are mostly subjective and phasic evaluations. Directly monitoring the coordination of sucking-swallowing-breathing during oral feeding simultaneously is difficult for preterm infants. In this study, we proposed a wireless oral-feeding monitoring system for preterm infants to quantitatively monitor the sucking pressure via a designed sucking pressure sensing device, swallowing activity via a microphone to detect swallowing sound, and diaphragmatic breathing movement via surface electromyogram. Moreover, a sucking-swallowing-breathing detection algorithm is also proposed to evaluate the events of sucking-swallowing-breathing activities. Furthermore, verification of the accuracy and rationality of oral-feeding parameters with clinical findings including sucking, swallowing, and breathing in term and preterm infants had proved the practicality and value of the proposed system.
The use of surface electromyography in dysphagia evaluation
(2017-01-01)
Wang, Yao-Chin
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Chou, Willy
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Lin, Bor-Shing
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Wang, Jhi-Joung
;
Lin, Bor-Shyh
Dysphagic patients usually have a variety of clinical problems such as malnutrition, significant weight loss, and aspiration pneumonia. Dysphagia is a complication commonly caused by strokes, and surface electromyography (sEMG) provides a simple, non-radioactive, and non-invasive method to measure the patterns of muscle activity during swallowing, allowing clinicians to describe the physiology of swallowing behavior. Most previous studies have described swallowing behavior in terms of amplitude and duration. However, there is no objective and precise approach available for the evaluation of swallowing coordination. In order to evaluate swallowing coordination more precisely, a wireless and wearable monitoring device for dysphagia evaluation was designed for the present study in order to measure four muscle groups simultaneously during swallowing. In this context, the variations of the cross-correlation coefficients were defined as the discoordination index, a metric which can effectively reflect the differences between the surface EMG patterns of the bilateral muscle groups. The experimental results of this study show that the discoordination indices for dysphagic patients are significantly larger than those for healthy subjects and that these discoordination indices can be used as an effective means of evaluating the coordination between bilateral swallowing muscles.
Wireless and Wearable Monitoring Device for Dysphagia Evaluation
(2015)
Chou, Willy
;
Ou, Chien-Zhi
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Lin, Bor-Shyh
;
Ko, Mei-Ju
;
Hu, Shao-Pu
Dysphagia is a common complication of strokes, and the patients usually have clinical problems such as malnutrition, significant weight loss, and aspiration pneumonia. Measuring the muscle activity pattern to describe physiology of swallowing behavior by surface electromyography (sEMG) is a simple, non-radioactive, and non-invasive method. Most of previous studies described the swallowing behavior by the terms of amplitude and duration. However, there is no objective and precise approach to evaluate swallowing coordination. For more precisely evaluate swallowing coordination of dysphagia, a wireless and wearable monitoring device was designed to measure four muscle groups simultaneously under swallowing. In this study, the algorithm of bilateral muscle pattern detecting was also developed to extract and analysis the difference swallowing feature of sEMG patterns. The experimental result shows that the amplitude and latency variation for dysphagic patients are significantly larger than those for healthy subjects under different swallowing conditions.