Abstract: A method to achieve an accurate, extremely low power state classification implementation is disclosed. Embodiments include a sequence that matches the data flow from the sensor transducer, through analog filtering, to digital sampling, feature computation, and classification.

Abstract: A method to achieve an accurate, extremely low power state classification implementation is disclosed. Embodiments include a sequence that matches the data flow from the sensor transducer, through analog filtering, to digital sampling, feature computation, and classification.

Abstract: A method to achieve an accurate, extremely low power state classification implementation is disclosed. Embodiments include a sequence that matches the data flow from the sensor transducer, through analog filtering, to digital sampling, feature computation, and classification.

Abstract: A method to achieve an accurate, extremely low power state classification implementation is disclosed. Embodiments include a sequence that matches the data flow from the sensor transducer, through analog filtering, to digital sampling, feature computation, and classification.

Abstract: A method to achieve an accurate, extremely low power state classification implementation is disclosed. Embodiments include a sequence that matches the data flow from the sensor transducer, through analog filtering, to digital sampling, feature computation, and classification.

Abstract: Embodiments of a telemonitoring system are particularly suited to monitor athletic activity and athletic training. The sensors monitor human physiology, activity and environmental conditions. In one embodiment, the data analysis devices use the data models to determine to determine specific performance points. Some embodiments provide useful displays to the user, where the displays are based on algorithms operating on and displaying raw data alone and combined with derivative data.

Abstract: A motion analysis telemonitor system includes a wearable monitoring device that monitors the activity level and movements of a person wearing the device. The wearable monitoring device is able to determine whether the person has fallen through a model analysis technique using characteristic movements of a fall. The wearable device generally transmits data and alerts over a short distance to a console. The console, in turn, transmits data and alerts to a monitoring center. The motion analysis telemonitor system is also able to monitor progression of disease through changes in movement, also fatigue and other performance factors.

Abstract: A remote monitoring system includes an on-body network of sensors and at least on analysis device controlled by a hub. The sensors monitor human physiology, activity and environmental conditions. The monitoring system includes a data classifier to take sensor input to determine a condition of the person wearing the remote monitoring system. The remote monitoring system is further able to determine a level of confidence in the determined condition.

Abstract: A near-field communications network enables a body-wearable personal area network. The near-field communications takes place in the magnetic near-field. A master node with an orthogonal antenna array controls the network. The orthogonal antenna array is orientable to maximize signal strength. The antennas are designed and operated so as to strand the energy of transmission of communications in the near-field. This reduces the detectability of the communications outside of the immediate area of the near-field network.