Biological sounds and electrocardiographic signals are important for understanding the physical and psychological state of a person. In this article, signal-processing and machine-learning technologies involving measuring biological sounds by using a wearable acoustic-sensor array, called a telestethoscope, as well as new measurement and analysis technology, i.e., tensor electrocardiogram using hitoe TM , are introduced. The possibility of early detection of diseases by using such personal heart modeling and its application to post-onset rehabilitation are also discussed.