Browsing by Author "Chang, Hen-Hong"

Now showing 1 - 2 of 2

ECG Acquisition via Microphone Port for HRV Analysis
(2011-01-01)
Lin, Yue-Der
;
Wang, Shih-Fan
;
Tsai, Ching-Che
;
Ho, Hu-Ying
;
Chang, Ching-Kang
The microphone port is proposed for the electrocardiogram (ECG) transmission interface in this research. The signal is modulated to assure that the ECG signal can be transmitted through microphone port without low-frequency component attenuation due to the mismatch of frequency characteristics between ECG signal and microphone port. In addition, we want to present whether the obtained ECG is reliable in heart rate variability (HRV) analysis. By Bland and Altman's statistical analysis, high agreement between the conventional and the proposed methods for HRV analysis is derived in this research.
Image Sensor-Based Heart Rate Evaluation From Face Reflectance Using Hilbert-Huang Transform
(2015-01-01)
Chen, Duan-Yu
;
Wang, Jun-Jhe
;
Lin, Kuan-Yi
;
Chang, Hen-Hong
;
Wu, Han-Kuei
Monitoring heart rates using conventional electrocardiogram equipment requires patients to wear adhesive gel patches or chest straps that can cause skin irritation and discomfort. Commercially available pulse oximetry sensors that attach to the fingertips or earlobes also cause inconvenience for patients and the spring-loaded clips can be painful to use. Therefore, a novel robust face-based heart rate monitoring technique is proposed to allow for the evaluation of heart rate variation without physical contact with the patient. Face reflectance is first decomposed from a single image and then heart rate evaluation is conducted from consecutive frames according to the periodic variation of reflectance strength resulting from changes to hemoglobin absorptivity across the visible light spectrum as heartbeats cause changes to blood volume in the blood vessels in the face. To achieve a robust evaluation, ensemble empirical mode decomposition of the Hilbert-Huang transform is used to acquire the primary heart rate signal while reducing the effect of ambient light changes. Our proposed approach is found to outperform the current state of the art, providing greater measurement accuracy with smaller variance and is shown to be feasible in real-world environments.