Bio-sensing devices are embedded as part of smart eye-wear system, comprising of a pair of temples and a nose pad. A plurality of sensors disposed within the eye-glasses and are adapted to acquire, analyze, and classify biometric information to monitor and detect abnormal heart behavior and to predict congestive heart failure. Using Machine Learning methods to monitor and detect abnormal heart behavior and classify/predict congestive heart failure, depends on sensing device to capture and provide bio-signals, to provide meaningful and usable extracted features by the machine. Sensing Device, capable of capture meaningful and useful bio-signals generated by the human body is discussed, which are “pressure wave sensor”, capable of acquiring acoustic pressure wave signal generated by the body and extracting heart sound from the sensor. Additionally, ion exchange sensing device, which is capable of extracting sodium, potassium, glucose and lactate information from human sweat is also discussed.
