Provided is a system for controlling progress of audio-video content based on sensor data of multiple users, composite neuro-physiological state (CNS) and/or content engagement power (CEP). Sensor data is received from sensors positioned on an electronic device of a first user to sense neuro-physiological responses of the first user and second users that are in field-of-view (FOV) of the sensors. Based on the sensor data and at least one of a CNS value for social interaction application and a CEP value for immersive content, recommendations of action items for first user are predicted. Content of a feedback loop, created based on sensor data, CNS value, CEP value, and predicted recommendations, is rendered on output unit of electronic device during play of the at least one of social interaction application and immersive content experience. Progress of social interaction and immersive content experience is controlled by first user based on predicted recommendations.

A wireless, patient-worn, physiological sensor configured to, among other things, help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. According to an embodiment, the sensor includes a base having a top surface and a bottom surface. The sensor also includes a substrate layer including conductive tracks and connection pads, a top side, and a bottom side, where the bottom side of the substrate layer is disposed above the top side of the base. Mounted on the substrate layer are a processor, a data storage device, a wireless transceiver, an accelerometer, and a battery. In use, the sensor senses a patient's motion and wirelessly transmits information indicative of the sensed motion to, for example, a patient monitor. The patient monitor receives, stores, and processes the transmitted information.

A wireless, patient-worn, physiological sensor configured to, among other things, help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. According to an embodiment, the sensor includes a base having a top surface and a bottom surface. The sensor also includes a substrate layer including conductive tracks and connection pads, a top side, and a bottom side, where the bottom side of the substrate layer is disposed above the top side of the base. Mounted on the substrate layer are a processor, a data storage device, a wireless transceiver, an accelerometer, and a battery. In use, the sensor senses a patient's motion and wirelessly transmits information indicative of the sensed motion to, for example, a patient monitor. The patient monitor receives, stores, and processes the transmitted information.

The disclosure provides a measurement circuit. The measurement circuit includes a control engine. An excitation source is coupled to the control engine. A first set of electrodes and a second set of electrodes are coupled to the excitation source and receive current from the excitation source. The control engine operates the excitation source in a first mode and a second mode. The control engine, in the first mode, measures a parasitic impedance associated with the first and the second set of electrodes, and the control engine, in the second mode, measures an impedance of the first and the second set of electrodes and of an external object.

The disclosure provides a measurement circuit. The measurement circuit includes a control engine. An excitation source is coupled to the control engine. A first set of electrodes and a second set of electrodes are coupled to the excitation source and receive current from the excitation source. The control engine operates the excitation source in a first mode and a second mode. The control engine, in the first mode, measures a parasitic impedance associated with the first and the second set of electrodes, and the control engine, in the second mode, measures an impedance of the first and the second set of electrodes and of an external object.

A wearable device includes a wearable device main body, a sensor part configured to contact a skin surface of a user of the wearable device, and measure a bio-signal of the user, and a shock absorber that is interposed between the wearable device main body and the sensor part to mechanically connect the wearable device main body and the sensor part, and that is configured to reduce motion transmission between the wearable device main body and the sensor part to permit the wearable device main body to move independently from the sensor part.

Cancer treatment using TTFields (Tumor Treating Fields) can be customized to each individual subject by obtaining cancer cells from the subject, determining an electrical characteristic (e.g., dielectrophoretic forces, cell membrane capacitance, etc.) of the cancer cells, determining a frequency for the TTFields based on the determined electrical characteristic, and treating the cancer by applying TTFields to the subject at the determined frequency. In addition, cancer treatment can be planned for each individual subject by obtaining cancer cells from the subject, determining an electrical characteristic of the cancer cells, predicting whether TTFields would be effective to treat the cancer based on the determined electrical characteristic, and treating the subject by applying TTFields if the prediction indicates that TTFields would be effective.

Cancer treatment using TTFields (Tumor Treating Fields) can be customized to each individual subject by obtaining cancer cells from the subject, determining an electrical characteristic (e.g., dielectrophoretic forces, cell membrane capacitance, etc.) of the cancer cells, determining a frequency for the TTFields based on the determined electrical characteristic, and treating the cancer by applying TTFields to the subject at the determined frequency. In addition, cancer treatment can be planned for each individual subject by obtaining cancer cells from the subject, determining an electrical characteristic of the cancer cells, predicting whether TTFields would be effective to treat the cancer based on the determined electrical characteristic, and treating the subject by applying TTFields if the prediction indicates that TTFields would be effective.

Described herein are devices and methods for continuous real time monitoring of kidney function. In various embodiments, a urine analysis device collects sensor data describing one or more properties of urine. The urine analysis device may be integrated with a catheter system to continuously generate sensor data in real time as the urine is collected by the catheter system. Sensor data collected by the urine analysis device may be analyzed by physicians to detect changes in a patients kidney function. If necessary, based on the sensor data, physicians may perform an intervention to improve a patients kidney function.

Aspects of the present disclosure provide a smart relaxation mask configured to output a stimulus and collect biometric information while the stimulus is output to determine if the subject is paying attention to the stimulus. If the subject is not focused on the stimulus, the mask adjusts at least one of an audio, visual, or haptic output. The stimulus is adjusted in an effort to shift the subject's attention to the stimulus and away from racing thoughts.