Abstract: A deep learning medical device implantable in a body is provided. The device includes a processing and communication unit and a sensing and actuation unit. The processing and communication unit includes a deep learning module including a neural network trained to process the input samples, received from the sensing and actuation unit, through a plurality of layers to classify physiological parameters and provide classification results. A communication interface in communication with the deep learning module receives the classification results for ultrasonic transmission through biological tissue. Methods of sensing and classifying physiological parameters of a body and methods of embedding deep learning into an implantable medical device are also provided.

Abstract: A reconfigurable implantable system for ultrasonic power control and telemetry includes a charging device that includes an ultrasonic transducer to transmit and receive ultrasonic signals transmitted through a biological body, and a signal generator to drive the ultrasonic transducer to transmit an ultrasonic charging signal through the biological body. The system further includes an implantable device configured to communicate wirelessly with the charging device through the biological body via an ultrasonic communication link between the implantable device and the charging device. An implantable ultrasonic transducer receives the ultrasonic charging signal from the charging device and transmits ultrasonic signals through the biological body. A power unit coupled to the ultrasonic transducer harvests energy from the received ultrasonic charging signal when the implantable device is in an energy harvesting mode.

Abstract: A deep learning medical device implantable in a body is provided. The device includes a processing and communication unit and a sensing and actuation unit. The processing and communication unit includes a deep learning module including a neural network trained to process the input samples, received from the sensing and actuation unit, through a plurality of layers to classify physiological parameters and provide classification results. A communication interface in communication with the deep learning module receives the classification results for ultrasonic transmission through biological tissue. Methods of sensing and classifying physiological parameters of a body and methods of embedding deep learning into an implantable medical device are also provided.

Abstract: A reconfigurable implantable system for ultrasonic power control and telemetry includes a charging device that includes an ultrasonic transducer to transmit and receive ultrasonic signals transmitted through a biological body, and a signal generator to drive the ultrasonic transducer to transmit an ultrasonic charging signal through the biological body. The system further includes an implantable device configured to communicate wirelessly with the charging device through the biological body via an ultrasonic communication link between the implantable device and the charging device. An implantable ultrasonic transducer receives the ultrasonic charging signal from the charging device and transmits ultrasonic signals through the biological body. A power unit coupled to the ultrasonic transducer harvests energy from the received ultrasonic charging signal when the implantable device is in an energy harvesting mode.