Abstract: In one embodiment, a method includes detecting, by each of multiple sensors of a wearable device worn by a user, a physiological signal of the user; determining, by the wearable device, whether at least one of the detected physiological signals indicates that the user is suffering a seizure; and in response to a determination that the user is suffering a seizure, then determining, by a trained neural network and based on multiple detected physiological signals, a seizure condition of the user.

Abstract: In one embodiment, a method includes detecting, by each of multiple sensors of a wearable device worn by a user, corresponding insomnia-related signals during at least a predetermined duration; determining, for each of the insomnia-related signals, a set of insomnia-indicating signals by comparing each insomnia-related signal to a corresponding threshold; and determining, by a trained machine-learning model and based on the determined sets of insomnia-indicating signals, an insomnia condition of the user.

Abstract: A method for estimating blood pressure using a blood flow occlusion system applied to an artery includes receiving from a first sensor a sensed signal; processing at a processor the sensed signal to detect beats in a pulsatile signal; determining validity of the detected beats; storing the detected beats and data associated with the detected beats in the sensed signal as the pressure applied to the artery by the blood flow occlusion system deflates towards a level below a nominal level; determining baseline beat characteristics; evaluating the stored beats and associated data to detect change in beat characteristics as compared to the baseline beat characteristics; selecting a beat before the detected change in the beat characteristic as the last beat indicating the onset of the diastolic blood pressure for the artery; determining a value of the applied pressure at the last beat as the diastolic blood pressure for the artery.

Abstract: An attitude sensor system with automatic bias correction having a primary attitude sensor wherein the primary attitude sensor comprises at least one accelerometer and an auxiliary sensor system configured to automatically estimate a bias of the accelerometer of the primary attitude sensor such that the resulting error is removed from an output of the attitude sensor system.

Abstract: A method for detecting arrhythmia, including receiving, via at least one motion sensor, channels of raw motion signals for a user; monitoring the channels for motion activity; generating segments from the raw motion signals; determining heartbeat event locations from the generated segments; performing false alarm detection on the raw motion signals and heartbeat event locations to generated refined abnormal candidates.

Abstract: A method for event detection in a user-wearable device includes receiving, from a first sensor implemented in the user-wearable device, photoplethysmogram (PPG) signals; processing, at a processor, the PPG signals to obtain PPG signal samples; detecting, at the processor, beats in the PPG signal samples; dividing the PPG signal samples into PPG signal segments; extracting at least one inter-beat interval (IBI) feature in each PPG signal segment; classifying, at the processor, each PPG signal segment using the extracted IBI feature associated with the PPG signal segment and using a machine learning model; in response to the classifying, generating, at the processor, an event prediction result for the PPG signal segment based on the extracted IBI feature; and displaying the event prediction result at the user-wearable device. In another embodiment, the method further includes extracting morphology based features.

Abstract: A method for detecting arrhythmia, including receiving, via at least one motion sensor, channels of raw motion signals for a user; monitoring the channels for motion activity; generating segments from the raw motion signals; determining heartbeat event locations from the generated segments; performing false alarm detection on the raw motion signals and heartbeat event locations to generated refined abnormal candidates.

Abstract: A method for estimating blood pressure using a blood flow occlusion system applied to an artery includes receiving from a first sensor a sensed signal; processing at a processor the sensed signal to detect beats in a pulsatile signal; determining validity of the detected beats; storing the detected beats and data associated with the detected beats in the sensed signal as the pressure applied to the artery by the blood flow occlusion system deflates towards a level below a nominal level; determining baseline beat characteristics; evaluating the stored beats and associated data to detect change in beat characteristics as compared to the baseline beat characteristics; selecting a beat before the detected change in the beat characteristic as the last beat indicating the onset of the diastolic blood pressure for the artery; determining a value of the applied pressure at the last beat as the diastolic blood pressure for the artery.

Abstract: An attitude sensor system with automatic bias correction having a primary attitude sensor wherein the primary attitude sensor comprises at least one accelerometer and an auxiliary sensor system configured to automatically estimate a bias of the accelerometer of the primary attitude sensor such that the resulting error is removed from an output of the attitude sensor system.

Abstract: A method for event detection in a user-wearable device includes receiving, from a first sensor implemented in the user-wearable device, photoplethysmogram (PPG) signals; processing, at a processor, the PPG signals to obtain PPG signal samples; detecting, at the processor, beats in the PPG signal samples; dividing the PPG signal samples into PPG signal segments; extracting at least one inter-beat interval (IBI) feature in each PPG signal segment; classifying, at the processor, each PPG signal segment using the extracted IBI feature associated with the PPG signal segment and using a machine learning model; in response to the classifying, generating, at the processor, an event prediction result for the PPG signal segment based on the extracted IBI feature; and displaying the event prediction result at the user-wearable device. In another embodiment, the method further includes extracting morphology based features.

Abstract: A method of operating a drone security and entertainment system includes: engaging a drone with a base; receiving signals from at least one sensor remote from the drone vehicle and base; detecting activity; disengaging the drone vehicle from the base; traveling by the drone vehicle; collecting, by the drone vehicle, data including at least one of video, audio, and sensor data; and transmitting, by the drone, the collected data. A security system includes: a base configured to house and charge a drone vehicle; a drone vehicle configured to engage with the base; and at least one sensor in electrical communication with the drone vehicle, wherein the drone is configured for: receiving signals from the at least one sensor; detecting activity; disengaging from the base; traveling; collecting data including at least one of video, audio, and sensor data; and transmitting the collected data.

Abstract: An attitude sensor system with automatic bias correction having a primary attitude sensor wherein the primary attitude sensor comprises at least one accelerometer and an auxiliary sensor system configured to automatically estimate a bias of the accelerometer of the primary attitude sensor such that the resulting error is removed from an output of the attitude sensor system.

Abstract: A mounting system, comprising an insertion component configured to be partially inserted into but not through a hole in a first panel of a wall assembly with an elongated anchor having a hub and at least one anchor tab. An elastic holding member is configured to connect the insertion component and the anchor and the anchor located on a first side of a first panel is configured to be inserted through the insertion component opening defining the hole in the first panel. The holding member pulls the insertion component and the anchor toward each other when the insertion component and the anchor are located on opposite sides of the first panel and separated by approximately a first panel thickness.

Abstract: According to one embodiment, described herein is a wall anchor system includes an insert that is positionable within a hole in a wall. The wall anchor system further includes an anchor that is insertable into and passable through the insert. Additionally, the wall anchor system includes an elastic member that couples the insert and anchor. The insert and anchor remain coupled via the elastic member as the anchor is inserted into and passes through the insert.

Abstract: According to one embodiment, described herein is a wall anchor system includes an insert that is positionable within a hole in a wall. The wall anchor system further includes an anchor that is insertable into and passable through the insert. Additionally, the wall anchor system includes an elastic member that couples the insert and anchor. The insert and anchor remain coupled via the elastic member as the anchor is inserted into and passes through the insert.

Abstract: A mounting system, comprising an insertion component configured to be partially inserted into but not through a hole in a first panel of a wall assembly with an elongated anchor having a hub and at least one anchor tab. An elastic holding member is configured to connect the insertion component and the anchor and the anchor located on a first side of a first panel is configured to be inserted through the insertion component opening defining the hole in the first panel. The holding member pulls the insertion component and the anchor toward each other when the insertion component and the anchor are located on opposite sides of the first panel and separated by approximately a first panel thickness.

Abstract: The present invention is a converter for abstracting network devices away from manufacturer specific syntax and/or semantic capabilities by making the network devices configuration independent trough syntax and/or semantic conversion. An application program interface converts between input options and output options. The converter allows the user to choose from any input module to program end devices. The converter may function as a point and click option, a command line interface or any other interface. The present invention allows for the choice of output module based on requirements of a target network device.