Abstract: A system uses continuous tracking of sleep activity and heart rate activity to evaluate heart rate variability immediately before transitioning to an awake state, e.g., at the end of the last phase of deep sleep. In particular, a wearable, continuous physiological monitoring system as described herein includes one or more sensors to detect sleep states, the transitions between sleep states, and the transitions from a sleep state to an awake state for a user. This information can be used in conjunction with continuously monitored heart rate data to calculate heart rate variability of the user at the end of the last phase of sleep preceding the user waking up. By using the history of heart rate data in conjunction with sleep activity in this manner, an accurate and consistent recovery score can be calculated based on heart rate variability.

Abstract: A removable wrist device in a continuous physiological monitoring system includes a mounting fixture with a pair of rails to securely retain another device, such as a battery, a watch, or a display. The rails may be curved to secure the device against displacement during purely translational movement while conveniently conforming to the shape of a wrist. At the same time, the rails can permit movement around the axis of the wrist (where significant rotational forces are not regularly encountered) to permit convenient attachment and removal of the other device to the wrist-mounted device through a rotational, sliding motion. This configuration provides an advantageous combination of ease of use (sliding on and off in a natural motion), mounting tenacity, and comfort.

Abstract: Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A wearable strap may detect reflected light from a user's skin, where data corresponding to the reflected light is used to automatically and continually determine a heart rate of the user. The wearable strap may include a motion sensor that is used to determine a motion status of the user. Based upon the motion status of the user, the system may activate light emitters on the wearable strap to determine the heart rate of the user.

Abstract: A system uses continuous tracking of sleep activity and heart rate activity to evaluate heart rate variability immediately before transitioning to an awake state, e.g., at the end of the last phase of deep sleep. In particular, a wearable, continuous physiological monitoring system as described herein includes one or more sensors to detect sleep states, the transitions between sleep states, and the transitions from a sleep state to an awake state for a user. This information can be used in conjunction with continuously monitored heart rate data to calculate heart rate variability of the user at the end of the last phase of sleep preceding the user waking up. By using the history of heart rate data in conjunction with sleep activity in this manner, an accurate and consistent recovery score can be calculated based on heart rate variability.

Abstract: A system uses continuous tracking of sleep activity and heart rate activity to evaluate heart rate variability immediately before transitioning to an awake state, e.g., at the end of the last phase of deep sleep. In particular, a wearable, continuous physiological monitoring system as described herein includes one or more sensors to detect sleep states, the transitions between sleep states, and the transitions from a sleep state to an awake state for a user. This information can be used in conjunction with continuously monitored heart rate data to calculate heart rate variability of the user at the end of the last phase of sleep preceding the user waking up. By using the history of heart rate data in conjunction with sleep activity in this manner, an accurate and consistent recovery score can be calculated based on heart rate variability.

Abstract: A removable wrist device in a continuous physiological monitoring system includes a mounting fixture with a pair of rails to securely retain another device, such as a battery, a watch, or a display. The rails may be curved to secure the device against displacement during purely translational movement while conveniently conforming to the shape of a wrist. At the same time, the rails can permit movement around the axis of the wrist (where significant rotational forces are not regularly encountered) to permit convenient attachment and removal of the other device to the wrist-mounted device through a rotational, sliding motion. This configuration provides an advantageous combination of ease of use (sliding on and off in a natural motion), mounting tenacity, and comfort.

Abstract: Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A lightweight wearable system is provided to collect various physiological data continuously from a wearer without the need for a chest strap. The system also enables monitoring of one or more physiological parameters in addition to heart rate including, but not limited to, body temperature, heart rate variability, motion, sleep, stress, fitness level, recovery level, effect of a workout routine on health, caloric expenditure. Embodiments also include computer-executable instructions that, when executed, enable automatic interpretation of one or more physiological parameters to assess the cardiovascular intensity experienced by a user (embodied in an intensity score or indicator) and the user's recovery after physical exertion (embodied in a recovery score). These indicators or scores may be displayed to assist a user in managing the user's health and exercise regimen.

Abstract: While experimenting with photoplethysmography, the applicant has observed that cardiac activity can be measured through human skin using ambient light in place of active lighting systems. Disclosed herein are techniques for exploiting this phenomenon to provide improved, low power physiological monitoring systems. In order to facilitate more continuous physiological monitoring over a range of lighting conditions, the intensity of ambient light can be monitored, and active lighting can be selectively deployed under conditions where ambient light does not provide sufficient optical energy for cardiac measurements.

Abstract: Continuous monitoring of a plurality of physiological data may be used for health and fitness improvements for a user. To this end, a physiological monitoring and measurement device may include a wearable strap that receives heart rate data for a user including a time series of heart rate data, a maximum heart rate, and a resting heart rate. A processor may transform the heart rate data into a time series of heart rate reserve data that is weighted, e.g., to account for cardiovascular efficiencies at different intensity levels, to provide a weighted time series of heart rate reserve values. An intensity score that provides an indicator of cardiovascular intensity for an exercise routine may be generated from the weighted time series of heart rate reserve values and displayed to the user on the wearable strap.

Abstract: Disclosed herein is a device for continuous physiological monitoring as well as systems and methods for interpreting data from such a device. The device may support intelligent selection from among two or more different modes for heart rate detection. In addition, the acquisition of continuous physiological data facilitates automated recommendations concerning changes to sleep, recovery time, exercise routines and the like.

Abstract: Disclosed herein is a device for continuous physiological monitoring as well as systems and methods for interpreting data from such a device. The systems and methods may include automatically detecting, assessing, and analyzing exercise activity, physical recovery states, sleep states, and the like. The acquisition of continuous physiological data may facilitate automated recommendations concerning changes to sleep, recovery time, exercise routines, and the like.

Abstract: Disclosed herein is a device for continuous physiological monitoring as well as systems and methods for interpreting and sharing data from such a device. The device may include a wearable strap that automatically and continually determines a heart rate of a user and provides continuous heart rate data. In addition, the device may include a communication system for transmitting and sharing the continuous heart rate data subject to a privacy switch operable by the user that can restrict such communication. For example, the privacy switch may include a shared setting where continuous heart rate data is available to a shared data repository, and a private setting where continuous heart rate data is not shared by the user.

Abstract: Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A wearable strap may detect reflected light from a user's skin, where data corresponding to the reflected light is used to automatically and continually determine a sequence of instantaneous heart rate of the user. Specifically, the heart rate of the user may be determined through the use of a peak detection algorithm that determines an R-wave-to-R-wave interval (RR interval). Based on the confidence of the RR interval, the peak detection algorithm or a frequency analysis algorithm may process the reflected light data to determine the sequence of instantaneous heart rates of the user.

Abstract: Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A wearable strap may detect reflected light from a user's skin, where data corresponding to the reflected light is used to automatically and continually determine a heart rate of the user. Based on signals associated with the user's heart rate, the system may detect the location of the wearable strap on the user's body, and then adjust its analysis of the reflected light data to determine the heart rate of the user.

Abstract: Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A wearable strap may detect reflected light from a user's skin, where data corresponding to the reflected light is used to automatically and continually determine a heart rate of the user. The wearable strap may include a multi-chip module having two or more electronic circuit boards with electrical connections between the circuit boards. The circuit boards may be vertically stacked or horizontally displaced within the wearable strap.

Abstract: Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A wearable strap may detect reflected light from a user's skin, where data corresponding to the reflected light is used to automatically and continually determine a heart rate of the user. The wearable strap may monitor heart rate data including heart rate variability, resting heart rate, and sleep quality. The systems may include a processing module that generates an indicator of physical recovery based on the heart rate data. The recovery indicator may be used to determine strain related to an exercise routine, qualitative information on the user's health, whether to alter a user's exercise plan, and so forth.

Abstract: Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A wearable strap may detect reflected light from a user's skin, where data corresponding to the reflected light is used to automatically and continually determine a heart rate of the user. The wearable strap may include a motion sensor that is used to determine a motion status of the user. Based upon the motion status of the user, the system may activate light emitters on the wearable strap to determine the heart rate of the user.

Abstract: Embodiments provide physiological measurement systems, devices and methods for continuous health and fitness monitoring. A wearable strap may automatically and continually sense and collect data corresponding to the heart rate of a user, which may then be used to determine cardiovascular intensity experienced by the user. Specifically, the heart rate data may be transformed into a time series of heart rate reserve data which is then weighted according to a weighting scheme. The weighted heart rate reserve data may be the basis for programmatically generating an indicator of cardiovascular intensity experienced by the user, which is displayed for a user on the user interface of a display device.