Abstract: Automated systems and methods are presented for determining the physiological response of human or suitable animal subjects to physical exertion. The methods and systems can include monitoring sensors that capture the motion of the subject along with corresponding physiological data, and can track such motion for the duration of a period of physical exertion. The system is able to acquire an initial stream of physiological data from the subject during a range of physical exertion activities that are representative of the events intended to be monitored with the proposed method and system, enabling a corresponding dynamic physiological response model to be created. The motion tracking system and physiological response model can then be used to predict the physiological response to physical exertion events under a prescribed framework, including applications during real-time event monitoring.

Abstract: Automated systems and methods are presented for determining the physiological response of human or suitable animal subjects to physical exertion. The methods and systems can include monitoring sensors that capture the motion of the subject along with corresponding physiological data, and can track such motion for the duration of a period of physical exertion. The system is able to acquire an initial stream of physiological data from the subject during a range of physical exertion activities that are representative of the events intended to be monitored with the proposed method and system, enabling a corresponding dynamic physiological response model to be created. The motion tracking system and physiological response model can then be used to predict the physiological response to physical exertion events under a prescribed framework, including applications during real-time event monitoring.

Abstract: Automated systems and methods are presented for determining the physiological response of human or suitable animal subjects to physical exertion. The methods and systems can include monitoring sensors that capture the motion of the subject along with corresponding physiological data, and can track such motion for the duration of a period of physical exertion. The system is able to acquire an initial stream of physiological data from the subject during a range of physical exertion activities that are representative of the events intended to be monitored with the proposed method and system, enabling a corresponding dynamic physiological response model to be created. The motion tracking system and physiological response model can then be used to predict the physiological response to physical exertion events under a prescribed framework, including applications during real-time event monitoring.

Abstract: Automated systems and methods are presented for determining the physiological response of human or suitable animal subjects to physical exertion. The methods and systems can include monitoring sensors that capture the motion of the subject along with corresponding physiological data, and can track such motion for the duration of a period of physical exertion. The system is able to acquire an initial stream of physiological data from the subject during a range of physical exertion activities that are representative of the events intended to be monitored with the proposed method and system, enabling a corresponding dynamic physiological response model to be created. The motion tracking system and physiological response model can then be used to predict the physiological response to physical exertion events under a prescribed framework, including applications during real-time event monitoring.

Abstract: Automated systems and methods are presented for determining the physiological response of human or suitable animal subjects to physical exertion. The methods and systems can include monitoring sensors that capture the motion of the subject along with corresponding physiological data, and can track such motion for the duration of a period of physical exertion. The system is able to acquire an initial stream of physiological data from the subject during a range of physical exertion activities that are representative of the events intended to be monitored with the proposed method and system, enabling a corresponding dynamic physiological response model to be created. The motion tracking system and physiological response model can then be used to predict the physiological response to physical exertion events under a prescribed framework, including applications during real-time event monitoring.

Abstract: Automated systems and methods are presented for determining the physiological response of human or suitable animal subjects to physical exertion. The methods and systems can include monitoring sensors that capture the motion of the subject along with corresponding physiological data, and can track such motion for the duration of a period of physical exertion. The system is able to acquire an initial stream of physiological data from the subject during a range of physical exertion activities that are representative of the events intended to be monitored with the proposed method and system, enabling a corresponding dynamic physiological response model to be created. The motion tracking system and physiological response model can then be used to predict the physiological response to physical exertion events under a prescribed framework, including applications during real-time event monitoring.

Abstract: Described herein are user-wearable devices, and methods for use therewith, for monitoring for one or more types of arrhythmias based on a photoplethysmography (PPG) signal obtained using an optical sensor of a user-wearable device. A PPG based statistical and/or machine learning model is used to analyze a PPG signal, obtained using the optical sensor, to monitor for one or more types of arrhythmias including atrial fibrillation (AF). In response to detecting an arrhythmia based on the PPG signal, an electrocardiogram (ECG) signal is obtained using an ECG sensor of the user-wearable device. An ECG based statistical and/or machine learning model is used to analyze the ECG signal obtained using the ECG sensor of the user-wearable device to confirm or reject the arrhythmia detected based on the PPG signal and/or to perform arrhythmia discrimination. Obtained PPG and/or ECG signal segments can be provided to the model(s) to update the model(s).

Abstract: Described herein are user-wearable devices, and methods for use therewith, for monitoring for one or more types of arrhythmias based on a photoplethysmography (PPG) signal obtained using an optical sensor of a user-wearable device. A PPG based statistical and/or machine learning model is used to analyze a PPG signal, obtained using the optical sensor, to monitor for one or more types of arrhythmias including atrial fibrillation (AF). In response to detecting an arrhythmia based on the PPG signal, an electrocardiogram (ECG) signal is obtained using an ECG sensor of the user-wearable device. An ECG based statistical and/or machine learning model is used to analyze the ECG signal obtained using the ECG sensor of the user-wearable device to confirm or reject the arrhythmia detected based on the PPG signal and/or to perform arrhythmia discrimination. Obtained PPG and/or ECG signal segments can be provided to the model(s) to update the model(s).

Abstract: Technology is described for a wearable sensor system including an accelerometer and a PPG optical sensor having light processing elements including at least one photodetector in at least one linear configuration sharing an axis of orientation with the accelerometer. Heart rate measurements determined from reflected light detected by a photodetector of the light processing elements in a linear configuration are co-sampled with accelerometer measurements for one of its axes sharing its orientation with the linear configuration, thus providing per axis measurements which provide more precise data points for more easily compensating for motion artifacts in heart rate data. A wrist wearable biometric monitoring device is also described which embodies the wearable sensor system and performs active motion artifact compensation.

Abstract: A base station identifies user-wearable devices being worn by a user, wherein each of the user-wearable devices is battery powered, includes a plurality of sensors, performs wirelessly communication, and is worn on a separate portion of the user's body. For each of the user-wearable devices, the base station identifies a portion of the user's body on which the user-wearable device is being worn. The base station also identifies an activity in which the user is engaged, and identifies multiple types of sensor data to be sensed using the sensors of the user-wearable devices, to enable tracking of metric(s) relevant to the activity in which the user is engaged. The base station determines how to distribute sensing responsibilities for the multiple types of sensor data among the sensors of the user-wearable devices being worn by the user, and selectively activates and deactivates individual sensors of each of the user-wearable devices.

Abstract: A user-wearable device includes a front facing first light detector and a backside optical sensor, which faces the user's skin and includes a light source and a second light detector. The device also includes a skin tone detector and an ultraviolet (UV) exposure detector. The UV exposure detector is adapted to determine estimate(s) of a user's exposure to UV light in dependence on signal(s) produced using the first light detector, calibrate UV exposure threshold(s) in dependence on a skin tone metric produced using the skin tone detector, compare estimate(s) of a user's exposure to UV light to calibrated UV exposure threshold(s), and selectively trigger an alert in dependence on results of the comparison(s). The second light detector is also used to produce a photoplethysmography (PPG) signal from which measures heart rate (HR), heart rate variability (HRV), respiration rate (RR) or respiratory sinus arrhythmia (RSA) is/are produced.

Abstract: A user-wearable device include a wireless transceiver, a primary radiator antenna and a secondary radiator antenna. The primary radiator antenna produces a first radio frequency (RF) radiation pattern when driven by the wireless transceiver, wherein the first RF radiation pattern is at least partially circularly polarized. The secondary radiator antenna, which is spaced apart from the primary radiator antenna, is configured to modify the first RF radiation pattern produced by the primary radiator antenna to thereby produce a second RF radiation pattern having increased RF radiation in a specific direction (e.g., away from the user's/wearer's skin) compared to the first RF radiation pattern. Inclusion of both the primary radiator antenna and the secondary radiator antenna increases an overall antenna efficiency (e.g., by about 3 dB) in the specific direction compared to if only the primary radiator antenna was included.

Abstract: A user-wearable devices includes an on-body detector that uses one or more sensors of the device to detect whether or not the user-wearable device is being worn by a user. When the user-wearable device is detected as being worn by a user it is operated in a first mode, and when the user-wearable device is detected as not being worn by a user it is operated in a second mode that consumes less power than the first mode. Operating the user-wearable device in the first mode can include enabling wireless communication between the user-wearable device and a base station. Operating the user-wearable device in the second mode can include disabling wireless communication between the user-wearable device and a base station. Operating the user-wearable device in the second mode can also include disabling sensors of the user-wearable device and/or placing sensors of the user-wearable device in a low power mode.

Abstract: A battery powered user-wearable device includes a light source and a light detector and is configured to obtain at least two different types of physiological measurements using the light source and the light detector. During a first period of time, the user-wearable device is operated in accordance with a first operational mode that is used to obtain a first type of physiological measurement. In the first operational mode the light source is driven to emit pulses of light at a low frequency. During a second period of time, the user-wearable device is operated in accordance with a second operational mode that is used to obtain a second type of physiological measurement. In the second operational mode the light source is either driven to continually emit light or is driven to emit pulses of light at a high frequency. The first operational mode consumes less power than the second operational mode.

Abstract: An apparatus selectively attaches a physiologic sensor pod to an article of apparel or clothing, wherein the sensor pod includes a housing having a top surface, a bottom surface, a peripheral surface, and a groove extending around the peripheral surface. In an embodiment, the apparatus comprises an elastic ring having an inner circumference slightly smaller than an outer circumference of the groove in the outer circumference of the sensor pod. The apparatus can also include a slit extending from an outer circumference of the elastic ring toward, but not all the way to, the inner circumference of ring, wherein a portion of fabric is insertable into the slit, at which point, a peripheral portion of the elastic ring can be sewn or otherwise attached to the fabric. In another embodiment, the adaptor includes a support ring adapted to be sewn to the elastic ring with a portion of fabric therebetween.

Abstract: A physiologic sensor pod comprises a housing, and first and second electrodes on a bottom surface of the housing and spaced apart from one another. Within the housing is a battery, a battery charging circuit, an electrocardiogram (ECG) sensor circuit powered by the battery and adapted to sense an ECG signal, and a reset detection circuit. The battery charging circuit is adapted to charge the battery when the first and second electrodes of the physiologic sensor pod are placed in contact with first and second electrical contacts of a charging unit. The ECG sensor circuit is adapted to obtain an ECG signal while the first and second electrodes are placed against a user's chest. The reset detection circuit is adapted to output a reset signal, which causes the physiologic sensor pod to be reset, when a voltage between the first and second electrodes is greater than a reset threshold level.

Abstract: A physiologic sensor pod comprises a housing including first and second electrodes on a bottom surface thereof, and a third electrode on a top surface thereof. Within the housing is a battery, a battery charging circuit, an ECG sensor circuit, switch circuitry, and a controller adapted to control at least a portion of the switch circuitry. When the switch circuitry is in a first configuration the first and second electrodes are connected to the battery charging circuit. When the switch circuitry is in a second configuration, the first and second electrodes are connected, respectively, to first and second inputs of the ECG sensor circuit. When the switch circuitry is in a third configuration, one or both of the first and second electrodes is/are coupled to a first input of an ECG sensor circuit and the third electrode is coupled to a second input of the ECG sensor circuit.

Abstract: A device is disclosed for wearing on a wrist or other body part including a central piece held on the body part by a pair of straps. The proximal end of a strap includes a mounting pin for sliding into and out of a slot on the central piece. The proximal end of the strap further includes a positioning curve which mates with a correspondingly shaped receiving curve on the central piece when the strap is properly affixed and centered on the central piece. When properly affixed and centered on the central piece, the positioning curve on the strap aligns with the receiving curve of the central piece, so that the positioning and receiving curves are at their lowest energy state, resisting lateral movement out of a centered position.