Computational Medical and Health Care Technology

Abstract

This paper describes practical applications on computational medical and health care technology. First, we briefly describe medical image processing for diagnosing. Next, we demonstrate three ultrasonic surgery support systems for orthopedic surgeon, rectum cancer surgeon and urologist. In them, image and signal processing plays a primary role to solve each problem. Second, we describe home health care system. This goal is not clinical use but home use to pay consciousness to health. In it, we introduce a mat senor system, which detects heart rate and respiration, and a thermopile senor system, which detects human moving trajectory. Finally, body weight prediction methods are shown by using autoregressive model. As the results, the models successfully predict the body weights.