인체피부 특성에 따른 맥파 센싱 알고리즘 연구

Today, Smart phones asa generalized according to becoming generalized of smartphones, study on wireless healthcare system is being activated. Therefore, conducted research on unconstrained remote biomedical instrumentation systems for advanced U-healthcare systemim plementation. In this paper, we had to use the photoplethysmography in the method of biomedical instrumentation systems. Designed improve differential amplifier using a single power, in order to increase the recognition rate of the pulse wave sensing, depended on characteristics of skin thickness and fat. And, optimal sensing algorithm was proposed. How to control amount of light using a red LED and infrared LED combination. In addition, receives the output the biological signal processing signal sent to the smartphone application.