標題: A Robust Vision-Based Heart Rate Evaluation
作者: Lin, Kuan-Yi
Chen, Duan-Yu
Lee, Suh-Yin
資訊工程學系
Department of Computer Science
關鍵字: Heart Rate;Heart Rate Evaluation;and Hilbert-Huang Transform
公開日期: 1-一月-2015
摘要: Monitoring heart rates using conventional electrocardiogram (ECG) 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 (EEMD) of the Hilbert-Huang Transform (HHT) 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 stateo-f-the-art, providing greater measurement accuracy with smaller variance and is shown to be feasible in real-world environments.
URI: http://dx.doi.org/10.3233/978-1-61499-484-8-1052
http://hdl.handle.net/11536/150901
ISSN: 0922-6389
DOI: 10.3233/978-1-61499-484-8-1052
期刊: INTELLIGENT SYSTEMS AND APPLICATIONS (ICS 2014)
Volume: 274
起始頁: 1052
結束頁: 1061
顯示於類別:會議論文