Browsing by Author "Yang, Chang Ming"

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A Real-Time Maximum-Likelihood Heart-Rate Estimator for Wearable Textile Sensors
(2008)
Cheng, Mu-Huo
;
Chen, Li-Chung
;
Hung, Ying-Che
;
Yang, Chang Ming
;
電控工程研究所
This paper presents a real-time maximum-likelihood heart-rate estimator for ECG data measured via wearable textile sensors. The ECG signals measured from wearable dry electrodes are notorious for its susceptibility to interference from the respiration or the motion of wearing person such that the signal quality may degrade dramatically. To overcome these obstacles, in the proposed heart-rate estimator we first employ the subspace approach to remove the wandering baseline, then use a simple nonlinear absolute operation to reduce the high-frequency noise contamination, and finally apply the maximum likelihood estimation technique for estimating the interval or R-R peaks. A parameter derived from the byproduct of maximum likelihood estimation is also proposed as an indicator for signal quality. To achieve the goal of real-time, we develop a simple adaptive algorithm from the numerical power method to realize the subspace filter and apply the fast-Fourier transform (FFT) technique for realization of the correlation technique such that the whole estimator can be implemented in an FPGA system. Experiments are performed to demonstrate the viability of the proposed system.
A Vital Wearing System with Wireless Capability
(2008)
Cheng, Mu-Huo
;
Chen, Li-Chung
;
Hung, Ying-Che
;
Chen, Chien-Nan
;
Yang, Chang Ming
A system with wearable sensors for detecting and sensing vital and physical motion signals such as the ECG, respiration, temperature, sweatiness, three-axis accelerations, and the motions of both knee ankles and elbows is presented. The system is also equipped with a bluetooth transceiver such that the obtained sensor signals can be transmitted to mobile phones or remote computers for either monitoring or post signal processing to extract knowledges or information. The presented system is embedded with signal processing algorithms such as the heart rate, the respiratory period, the body temperature, the degree of sweatiness, and the posture of wearing person are demonstrated. The heart rate and heart rate variation from the measured ECG data are estimated using an adaptive ESPRIT algorithm. This system is highly suitable for applications of remote healthcare and wellness.
Exquisite Textiles Sensors and Wireless Sensor Network Device for Home Health Care
(2008)
Huang, Wen-Tzeng
;
Chen, Chin-Hsing
;
Chang, Yuan-Jen
;
Chen, You-Yin
;
Huang, Jung-Lin
In this study, we propose a wearing system with four sensors, ECG (electrocardiogram), three-axis accelerometer, temperature, and tight-switch, applied for remote monitoring system in home-care. The sensors ECG, measured with wearable electrodes made of the steel textile to generate the real-time heart-rate estimator, tight-switch, made of the steel textile to check whether wearing person dresses properly, accelerometer, and temperature parameters are received via the ZigBee receiver within an exquisite belt. Since the movable textile electrodes will cause of unfixed contacts when the wearing person is in motion, making the heart-rate estimation much a sophisticated work, the tight-switch sensor and FIR (Filter Impulse Response) filter technology are applied here to get the more satisfiable heart-rate. The other two bio-sensors can detect the whether fall-down or not and normal body-temperature of this wearing person. Moreover, the ZigBee device with small size, low-power consumption, and high-reliability characteristics is designed to transmit the detected bio-information from these four sensors. Therefore, the vital system embedded with the capability of real-time heart-rate estimation and transmission makes it highly suitable for applications of remote healthcare and wellness.