Abstract: Some examples include a plurality of secure low-power compressive sensing sensor blocks able to communicate with each other and with a computing device to perform spatial and/or temporal compressive sensing. As one example, a first sensor block may obtain data by randomly sampling a sensor signal from a first sensor coupled to the first sensor block. The first sensor block may send the data obtained from the randomly sampled sensor signal to at least one other sensor block of the plurality of sensor blocks, wherein the data is distributed to the plurality of sensor blocks. In addition, at least one of the first sensor block or another sensor block may process the data to at least one of packetize or encrypt the data. The first sensor block and/or the other sensor block may send the processed data to the computing device.

Abstract: Some examples include a secure low-power sensor platform able to be used for activity monitoring or other purposes. For instance, a sensor system may sense sparse signals using compressed sensing. As one example, compressed sensing may be used to obtain sparse signals from analog sensor signals received from one or more sensors. The data obtained by compressed sensing may be sent subsequently to a computing device to reconstruct the sensor signal. Examples herein enable lower power usage, lower cost, and lower weight than conventional devices, while also enabling processing advantages, such as less overall data to process and lower data storage utilization.

Abstract: An apparatus and method is described to sense sparse signals from a medical device using compressed sensing and then transmitting the data for processing in the cloud.

Abstract: An apparatus and method is described to sense sparse signals from a medical device using compressed sensing and then transmitting the data for processing in the cloud.