Measurement and analysis technology using wearable system for prediction of autonomic change related to neurological symptoms and health condition

Abstract

Heart rate variability (HRV) reflects autonomic nerve activity and provides beneficial information for both clinical and healthcare diagnoses. A telemetry system for the measurement of HRV has been developed with a low-cost manufacturing process and a low-power consumption design. All the components and functions for the measurement were implemented on a wearable telemeter that has a function for automated calibration of various ECG amplitudes among the subjects, and the obtained data is stored into a smartphone via a Bluetooth wireless transmission. The measurement accuracy and reliability of the system are reviewed in this talk, and the preliminary results of the application to the clinical and healthcare purposes: the prediction of epileptic seizures and drowsy driving are explained.