Abstract: Embodiments include a method and system for providing data to a user of a wearable sensor platform. The method may be performed by a least one software component executing on at least one processor. The method includes capturing data for the user using at least one sensor in the wearable sensor platform. The data includes physiological data and artifact data. The physiological data includes noise data therein. A confidence indicator for the data is determined based on at least one of the physiological data and the artifact data. A physiological data signal corresponding to the physiological data and the confidence indicator is provided to the user on the wearable device platform.

Abstract: Exemplary embodiments for reconfiguring a storage system comprise a modular sensor platform, comprising: a base module comprising, a display, a processor, a memory and a communication interface; a band removably coupled to the base module such that the band is replaceable with different types of bands; and a sensor module that collects data from a user, the sensor module in communication with the base module and removably coupled to the band such that the sensor module is replaceable with different types of sensor modules, the sensor module further comprising a plurality of sensor units that are removably coupled to the sensor module such that individual sensor units are replaceable with different types of sensor units.

Abstract: An analog signal processor (ASP) application-specific integrated circuit (ASIC) is disclosed. The ACIS can be used for remotely monitoring ECG signals of a subject that has reduced power consumption. In one aspect, the ASIC performs the functions of: ECG signal extraction with high resolution using ECG readout channel, feature extraction using a band-power extraction channel, adaptive sampling the ECG signals using an adaptive sampling analog-to-digital converter, and impedance monitoring for signal integrity using an impedance monitoring channel. These functions enable the development of wireless ECG monitoring systems that have significantly lower power consumption but are more efficient that predecessor systems. In one embodiment, the ASP ASIC consumes 30 ?W from a 2V supply with compression provided by adaptive sampling providing large reductions in power consumption of a wireless ECG monitoring system of which the ASP ASIC forms a part.

Abstract: Disclosed herein are methods and devices for monitoring a heartbeat. In one embodiment, the device may comprise a sensor package mountable over a pulse location of a user. The sensor package may include a first sensor element configured to sense at least one signal at the pulse location and to provide a first output signal comprising a heart pulse signal and a first set of noise artifacts, a second sensor element configured to sense at least one signal at the pulse location and to provide a second output signal indicative of a second set of noise artifacts, and a mechanically isolating material located between the first sensor element and the second sensor element. The device may further comprise processing circuitry connected to the sensor package and configured to extract the heart pulse signal from the first output signal based on the first output signal and the second output signal.

Abstract: Integrated body sound monitoring system arranged for recording and processing body sounds such as respiratory sounds is disclosed. In one aspect, the system includes a number of microphones arranged for recording a body sound signal that represents a mixture of different body sounds, a processing block that is arranged for processing the body sound signal and comprises electronic components for locally storing, processing and analyzing the body sound signal prior to transmittal to an external device, and a radio arranged for transmitting data related to the body sound signal to the external device.

Abstract: Disclosed herein are methods and devices for monitoring a heartbeat. In one embodiment, the device may comprise a sensor package mountable over a pulse location of a user. The sensor package may include a first sensor element configured to sense at least one signal at the pulse location and to provide a first output signal comprising a heart pulse signal and a first set of noise artefacts, a second sensor element configured to sense at least one signal at the pulse location and to provide a second output signal indicative of a second set of noise artefacts, and a mechanically isolating material located between the first sensor element and the second sensor element. The device may further comprise processing circuitry connected to the sensor package and configured to extract the heart pulse signal from the first output signal based on the first output signal and the second output signal.

Abstract: An analogue signal processor (ASP) application-specific integrated circuit (ASIC) is disclosed. The ACIS can be used for remotely monitoring ECG signals of a subject that has reduced power consumption. In one aspect, the ASIC performs the functions of: ECG signal extraction with high resolution using ECG readout channel, feature extraction using a band-power extraction channel, adaptive sampling the ECG signals using an adaptive sampling analogue-to-digital converter, and impedance monitoring for signal integrity using an impedance monitoring channel. These functions enable the development of wireless ECG monitoring systems that have significantly lower power consumption but are more efficient that predecessor systems. In one embodiment, the ASP ASIC consumes 30 ?W from a 2V supply with compression provided by adaptive sampling providing large reductions in power consumption of a wireless ECG monitoring system of which the ASP ASIC forms a part.

Abstract: A method and system for sensor signal data analysis are disclosed. In one aspect, a method includes acquiring sensor signal data from a plurality of sensors. Signal processing is performed on the sensor signal data to extract one or more features of the sensor signal data. The features are signal extracts that are distinguishable among and reproducible along the sensor signal data. With at least one of the features, a plurality of information attributes is associated, and information evaluation is performed on the plurality of information attributes.