| Summary: | 博士 === 國立陽明大學 === 物理治療暨輔助科技學系 === 103 === In response to the rapid advancement in micro electro mechanical system process technology, the frequent application of physical activity detector and gait analysis, concerns relating to energy expenditure, and surging demands for sports safety monitoring , this study conducted 3 experiments involving a K&;Y Holter detector that integrates triaxial accelerometer and electrocardiogram (ECG) detection chip to provide optimal solutions.
Experiment 1: cloud-based ECG mobile detection kit. This ECG detection kit is a compact, lightweight, and portable kit for personal use that transmits real-time ECG signals through a Bluetooth transmission module to mobile phones in which the signals are plotted into ECG graphs for direct review. In addition, the ECG signals can be transmitted to a network-based data storage server by using the 3G or Wi-Fi transmission module of the phone. Finally, the ECG signals, along with its global positioning system coordinates, are transferred back to users’ phone (or others) to enhance the security level of the application. In the future, the mobile detection kit can be applied to a broad range of applications, particularly in the field of preventive medicine, health care, and sports-related medicine. In addition, the system can be used in clinical research, telemedicine, and personal health databases.
Experiment 2: a physical activity detection system. If properly used, the detection system can accurately detect physical intensity and energy expenditure based on the positions at which the detector system is worn. Furthermore, the system provides suggestions regarding floor slope and motion speed of the body. To achieve both ease of use and a high level of accuracy, the prediction formula derived from the triaxial accelerometer detector is used.
Experiment 3: a simple gait analysis system. This study verified the effect of acceleration on the performance of ultramarathon athletes. By using the high resolution and high sensitivity of the accelerometer, the kinematic characteristics of 10 outstanding local ultramarathon runners were successfully analyzed, and recommendations for improving performance in the game were provided. This study suggested that the runners reduce their stride lengths to minimize body swing and the braking effect and increase stride frequency to reduce the braking effect and improve propulsion, thereby enhancing their performance in the ultramarathon competition.
In this study, three experiments were conducted to demonstrate the contents and applications of wearable technology physical activity and security detection systems. Experiment 1 involved the development and application of a cloud-based electrocardiography (ECG) system. Safety is the most critical aspect of exercise, and in this experiment we could upload the heart rate and ECG results of participants to a cloud network at anytime, anywhere, and retain abnormal ECG records. Experiment 2 involved developing and applying a physical activity detection system. The purpose of exercising is to maintain good health; therefore, ensuring that the content of exercises are correct is critical. This experiment involved using an accelerometer to detect physical activity to determine the accuracy of exercise results due to activity application and its limitations. Exercise intensity, duration, frequency, and calorie consumption data were uploaded to a cloud database system, after which a comparison of the results of the exercise regimen was returned to the users, thereby improving the efficiency of their exercise program. Experiment 3 involved verifying and applying a simple gait analysis system. We analyzed the correlation between the acceleration of the center of mass and the final scores of the athletes on treadmills. The study results indicate that runners can minimize body sway and reduce stance phase deceleration by moderately reducing their gait and increasing their stride frequency. In the future, we aim to assist elderly people through fall detection among the elderly age group, and to actively investigate the pace analysis of stroke patients, Parkinson’s disease patients, and cerebral palsy patients in the field of physiotherapy, as well as through diagnostic analytics of the running action of field athletes. We hope to provide a reference for coaches and athletes to help them in improving their performance while preventing sports-related injury.
Although the K&;Y Holter integrates an ECG, triaxial accelerometer, and thermometer and is equipped with a wireless signal transmission chip, memory card function, and battery that provides up to 60 hours of service time, it weighs less than 10 g. In the future, the size and weight of the detector can be further reduced to accommodate additional chips for providing increased comprehensive functionality. This study is expected to inspire sports and health care-related scientists to create additional applications for contributing to the sports health science domain. Furthermore, the system proposed in this study can be used to minimize the negative effects that training and competitions have on users or athletes and enable users to experience using an intelligent management system that provides comprehensive functionality and service.
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