Abstract: Methods, systems, and devices for wearing detection are described. A user device may determine a condition to trigger an oxygen saturation measurement, or a measure of blood oxygen saturation (SpO2), for a user of a wearable device. The condition may be based on a physical state of the wearable device, a physiological state of the user, or both. In some examples, the user device may determine the condition based on one or more relationships between sensor data from the wearable device, application data, physiological data from the wearable device, or any combination thereof. The user device may receive a measure of oxygen saturation of the user from the wearable device. The user device may cause a graphical user interface (GUI) of the user device to display an indication of the measure of the oxygen saturation for the user.

Abstract: Methods, systems, and devices for wearing detection are described. A wearable device may perform a measure of oxygen saturation (e.g., blood oxygen saturation (SpO2)) in a first series of measurements and a second series of measurements at a first locality of an anatomical feature of the user and a second locality of the anatomical feature of the user, respectively. The wearable device may send the first series of measurements and the second series of measurements to a user device of the user. The user device may determine an oxygen saturation calibration by comparing the first and second series of measurements. The user device may calibrate the second series of measurements according to the oxygen saturation calibration.

Abstract: Technology is disclosed for monitoring a user's respirator), condition and provide decision support by analyzing a user's audio data. Spoken phonemes may be detected within audio data, and acoustic features may be extracted for the phonemes. A distance metric may be computed to compare phoneme feature sets of a user. Based on the comparison, a determination about the user's respiratory condition, such as whether the user has a respiratory condition (e.g., an infection) and/or whether the condition is changing, may be made. Some aspects include predicting the user's respiratory condition in the future utilizing the phoneme feature sets. Decision support tools in the form of computer applications or services may utilize the detected or predicted respiratory condition information to initiate an action for treating a current condition or mitigating a future risk.

Abstract: Technology is disclosed for detecting scratch events and predicting flares of pruritus, utilizing motion data sensed from a wearable sensor. Detecting scratch may be done with a two-tier approach by first detecting a hand motion from motion sensed data and then classifying that hand motion as a scratch event using one or more computerized classification models. Embodiments may focus on detecting nighttime scratch by utilizing motion sensed data captured during a user's detected sleep opportunity. Additionally, historical scratch event data may be used to predict a user's itch and flare risk for a future time interval. Decision support tools in the form of computer applications or services may utilize the detected scratch events or predicted itch or flare risk to initiate an action for reducing current itch and/or mitigating future risk, including initiating a treatment protocol that includes therapeutic agent.

Abstract: An electronic device worn on a user includes one or more accelerometers. The one or more accelerometers generate acceleration information based on acceleration experienced by the electronic device. The electronic device further includes a processor and one or more associated memories, and the one or more associate memories include computer program code executable by the processor. The processor, configured by the computer program code, causes the electronic device to process the acceleration information to extract features from the acceleration information. The processor, configured by the computer program code, further causes the electronic device to process the features to determine the location of the electronic device on the user.

Abstract: An electronic device worn on a user includes one or more accelerometers. The one or more accelerometers generate acceleration information based on acceleration experienced by the electronic device. The electronic device further includes a processor and one or more associated memories, and the one or more associate memories include computer program code executable by the processor. The processor, configured by the computer program code, causes the electronic device to process the acceleration information to extract features from the acceleration information. The processor, configured by the computer program code, further causes the electronic device to process the features to determine the location of the electronic device on the user.

Abstract: A system for controlling a therapeutic device and/or environmental parameters can include one or more body worn sensor devices that detect and report one or more physical, physiological, or biological parameters of a person in an environment. The sensor devices can communicate sensor data indicative of the one or more physical, physiological, or biological parameters of a person to an external hub that processes the data and communicates with the therapeutic device to provide a therapy (e.g., neuromodulation, neurostimulation, or drug delivery) as a function of the sensor data. In some embodiments, the therapeutic device can be implanted in the person. In some embodiments, the therapeutic device can be in contact with the skin of the person. The sensor devices can also communicate to the hub that communicates with one or more devices to change the environment as a function of the sensor data.

Abstract: An electronic device worn on a user includes one or more accelerometers. The one or more accelerometers generate acceleration information based on acceleration experienced by the electronic device. The electronic device further includes a processor and one or more associated memories, and the one or more associate memories include computer program code executable by the processor. The processor, configured by the computer program code, causes the electronic device to process the acceleration information to extract features from the acceleration information. The processor, configured by the computer program code, further causes the electronic device to process the features to determine the location of the electronic device on the user.

Abstract: A system for controlling a therapeutic device and/or environmental parameters can include one or more body worn sensor devices that detect and report one or more physical, physiological, or biological parameters of a person in an environment. The sensor devices can communicate sensor data indicative of the one or more physical, physiological, or biological parameters of a person to an external hub that processes the data and communicates with the therapeutic device to provide a therapy (e.g., neuromodulation, neurostimulation, or drug delivery) as a function of the sensor data. In some embodiments, the therapeutic device can be implanted in the person. In some embodiments, the therapeutic device can be in contact with the skin of the person. The sensor devices can also communicate to the hub that communicates with one or more devices to change the environment as a function of the sensor data.

Abstract: A system for development of an algorithm for analysis of sensor data includes one or more wearable sensor devices, a smart device, and a cloud computing platform. The sensors in the wearable sensor device produce sensor data (e.g., physiological data) from a user that can be processed by a software algorithm in the wearable sensor device or by a connected smart device (e.g., a smartphone) via cloud computing, producing an algorithm output. The raw sensor data along with other information, such as the algorithm output and sensor data features can be sent to the cloud computing platform for storage and to enable developers to access the data in order to modify the software algorithms. The wearable sensor device can be configured to send more or less data to the cloud computing platform according to the performance of the software algorithm.

Abstract: An electronic device worn on a user includes one or more accelerometers. The one or more accelerometers generate acceleration information based on acceleration experienced by the electronic device. The electronic device further includes a processor and one or more associated memories, and the one or more associate memories include computer program code executable by the processor. The processor, configured by the computer program code, causes the electronic device to process the acceleration information to extract features from the acceleration information. The processor, configured by the computer program code, further causes the electronic device to process the features to determine the location of the electronic device on the user.

Abstract: A system for controlling environmental parameters can include one or more body worn sensor devices that detect and report one or more physical, physiological, or biological parameters of a person in an environment. The sensor devices can communicate sensor data indicative of the one or more physical, physiological, or biological parameters of a person to a hub that processes the data and communicates with one or more devices or systems that can be used to change environmental. In some embodiments, the environment includes a device or machine, such as a motorized vehicle and the hub can communicate with the device or machine to cause a change in the operation or function of the device or machine. For example, the motorized vehicle can be caused to stop or slow down in response to sensor data indicating that the operator is experiencing stress or becomes disabled.