Paper
4 March 2014 A novel yet effective motion artefact reduction method for continuous physiological monitoring
A. Alzahrani, S. Hu, V. Azorin-Peris, R. Kalawsky, X. Zhang, C. Liu
Author Affiliations +
Abstract
This study presents a non-invasive and wearable optical technique to continuously monitor vital human signs as required for personal healthcare in today’s increasing ageing population. The study has researched an effective way to capture human critical physiological parameters, i.e., oxygen saturation (SaO2%), heart rate, respiration rate, body temperature, heart rate variability by a closely coupled wearable opto-electronic patch sensor (OEPS) together with real-time and secure wireless communication functionalities. The work presents the first step of this research; an automatic noise cancellation method using a 3-axes MEMS accelerometer to recover signals corrupted by body movement which is one of the biggest sources of motion artefacts. The effects of these motion artefacts have been reduced by an enhanced electronic design and development of self-cancellation of noise and stability of the sensor. The signals from the acceleration and the opto-electronic sensor are highly correlated thus leading to the desired pulse waveform with rich bioinformatics signals to be retrieved with reduced motion artefacts. The preliminary results from the bench tests and the laboratory setup demonstrate that the goal of the high performance wearable opto-electronics is viable and feasible.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Alzahrani, S. Hu, V. Azorin-Peris, R. Kalawsky, X. Zhang, and C. Liu "A novel yet effective motion artefact reduction method for continuous physiological monitoring", Proc. SPIE 8936, Design and Quality for Biomedical Technologies VII, 89360G (4 March 2014); https://doi.org/10.1117/12.2044640
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Signal detection

Heart

Signal processing

Optoelectronics

Interference (communication)

Tissues

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