Abstract
Photoplethysmography (PPG) is a technique based on photonics related to the volumetric changes in blood vessels during circulation. PPG has been widely applied in monitoring respiration, hypervolemia and other circulatory diseases. The smartphone becomes more popular nowadays. As the smartphone is usually equipped with light-emitting diode (LED) and camera, the imaging function in smartphone is proposed for PPG signal detection. An algorithm termed as the autoregressive (AR) decomposition is presented to extract the respiratory rate and pulse rate of the subject buried in the PPG measurement. The extracted information is verified by those derived from commercial equipments and the derived results agree well. The proposed algorithm is not complex and can be implemented in a smartphone as an application program. For its convenience in usage, the proposed strategy may be potential in telemedicine, preventive medicine and home care usage.
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