Abstract: This relates to a monitoring system capable of measuring a plurality of vital signs. The monitoring system can include a plurality of sensors including, but not limited to, electrodes, piezoelectric sensors, temperature sensors, and accelerometers. The monitoring system can be capable of operating in one or more operation modes such as, for example: capacitance measurement mode, electrical measurement mode, piezoelectric measurement mode, temperature measurement mode, acceleration measurement mode, impedance measurement mode, and standby mode. Based on the measured values, the monitoring system can analyze the user's sleep, provide feedback and suggestions to the user, and/or can adjust or control the environmental conditions to improve the user's sleep. The monitoring system can further be capable of analyzing the sleep of the user(s) without directly contacting or attaching uncomfortable probes to the user(s) and without having to analyze the sleep in an unknown environment (e.g., a medical facility).

Abstract: An in-bed haptic device may include an array of actuation cells. Actuation cells of the array of actuation cells may be configured to actuate (e.g., expand, contract, or otherwise change shape) in a predetermined sequence to provide haptic outputs. The in-bed haptic device may be configured to be placed beneath a user during use, for example between a user and a mattress. The haptic outputs may be provided to help a user relax, to move and/or wake a user, to indicate outputs, alerts, or notifications at the in-bed haptic device or another electronic device, or the like.

Abstract: Disclosed herein are devices and methods of using a mobile or wearable device for the acquisition and spatial filtering of ECG signals from an electrode array. One variation of a mobile or wearable device comprises an array of electrodes, one or more reference electrodes, and a controller in communication with the electrodes. In one example, the one or more reference electrodes are located on a wrist-worn device (e.g., a watch), and the electrode array is located on an accessory device that may be contacted with a fingertip. One variation of a spatial filtering method comprises identifying the electrodes that have high levels of noise and excluding the ECG signals from those electrodes from further analyses. In another variation, a method of spatial filtering comprises identifying electrodes with low levels of noise and including only the ECG signals from those electrodes in further analyses.

Abstract: Embodiments are directed to systems and techniques for tracking menstrual cycles, which can include receiving temperature measurements from an array of temperature sensors positioned on a bed. A use period for the array can be determined when temperature measurements from at least one temperature sensor of the one or more temperature sensors exceed a first temperature threshold. In some embodiments, for each use period in a set of two or more use periods, a temperature of the user using the set of temperatures from the respective use period can be determined. After determining the temperature of the user for each use period in the set of two or more use periods, at least one change in the temperature of the user between different use periods can be identified. An ovulation day of the user based on the at least one change in the temperature of the user can be estimated.

Abstract: An example technique may include tracking motion of a user wearing the wearable device using at least first sensors of one or more sensors of the wearable device. The technique may also include tracking a physical state of the user using at least second sensors of the one or more sensors of the wearable device. The technique may also include determining whether an application of the wearable device has been launched. The technique may also include determining an action category of the user based at least in part on at least one of the motion of the user, the physical state of the user, or whether the application has been launched. The technique may also include collecting heartrate data of the user. The technique may also include categorizing the heartrate data based at least in part on the determined action category.

Abstract: Embodiments are directed to systems and techniques for tracking menstrual cycles, which can include receiving temperature measurements from an array of temperature sensors positioned on a bed. A use period for the array can be determined when temperature measurements from at least one temperature sensor of the one or more temperature sensors exceed a first temperature threshold. In some embodiments, for each use period in a set of two or more use periods, a temperature of the user using the set of temperatures from the respective use period can be determined. After determining the temperature of the user for each use period in the set of two or more use periods, at least one change in the temperature of the user between different use periods can be identified. An ovulation day of the user based on the at least one change in the temperature of the user can be estimated.

Abstract: A configuration for a breathing sequence may be defined using a user interface of a user device. The user interface may also be used to begin the breathing sequence. During the breathing sequence, a fluctuating user interface element may fluctuate at a cyclic rate. Such fluctuation may include repeated growing and repeated shrinking of the fluctuating user interface element. During the breathing sequence, heart rate data may be collected and used to present heart rate information at a conclusion of the breathing sequence.

Abstract: Techniques are provided for tracking heartrate metrics using different operating modes associated with different contexts of a wearable device. For example, a heartrate sensor of the wearable device may be operated in a first operating mode when an activity is being tracked within an application session of a particular application. The heartrate sensor may be operated in a second operating mode after detecting conclusion of the activity within the activity session (e.g., during sedentary time).

Abstract: A configuration for a breathing sequence may be defined using a hardware element of a user device. A user interface of the user device may be used to begin the breathing sequence. During the breathing sequence, a fluctuating progress indicator user interface element may fluctuate at a cyclic rate. Such fluctuation may include repeated growing and repeated shrinking of the fluctuating progress indicator user interface element. During the breathing sequence, heart rate data may be collected and used to present heart rate information at a conclusion of the breathing sequence.

Abstract: This relates to a monitoring system capable of measuring a plurality of vital signs. The monitoring system can include a plurality of sensors including, but not limited to, electrodes, piezoelectric sensors, temperature sensors, and accelerometers. The monitoring system can be capable of operating in one or more operation modes such as, for example: capacitance measurement mode, electrical measurement mode, piezoelectric measurement mode, temperature measurement mode, acceleration measurement mode, impedance measurement mode, and standby mode. Based on the measured values, the monitoring system can analyze the user's sleep, provide feedback and suggestions to the user, and/or can adjust or control the environmental conditions to improve the user's sleep. The monitoring system can further be capable of analyzing the sleep of the user(s) without directly contacting or attaching uncomfortable probes to the user(s) and without having to analyze the sleep in an unknown environment (e.g., a medical facility).

Abstract: This relates to a monitoring system capable of measuring a plurality of vital signs. The monitoring system can include a plurality of sensors including, but not limited to, electrodes, piezoelectric sensors, temperature sensors, and accelerometers. The monitoring system can be capable of operating in one or more operation modes such as, for example: capacitance measurement mode, electrical measurement mode, piezoelectric measurement mode, temperature measurement mode, acceleration measurement mode, impedance measurement mode, and standby mode. Based on the measured values, the monitoring system can analyze the user's sleep, provide feedback and suggestions to the user, and/or can adjust or control the environmental conditions to improve the user's sleep. The monitoring system can further be capable of analyzing the sleep of the user(s) without directly contacting or attaching uncomfortable probes to the user(s) and without having to analyze the sleep in an unknown environment (e.g., a medical facility).

Abstract: Embodiments are directed to systems and techniques for tracking menstrual cycles, which can include receiving temperature measurements from an array of temperature sensors positioned on a bed. A use period for the array can be determined when temperature measurements from at least one temperature sensor of the one or more temperature sensors exceed a first temperature threshold. In some embodiments, for each use period in a set of two or more use periods, a temperature of the user using the set of temperatures from the respective use period can be determined. After determining the temperature of the user for each use period in the set of two or more use periods, at least one change in the temperature of the user between different use periods can be identified. An ovulation day of the user based on the at least one change in the temperature of the user can be estimated.

Abstract: A blood pressure cuff includes a support band that is selectively reconfigured between a flexible standby configuration and a measurement configuration. A blood pressure cuff includes an inflatable bladder, a support band, and a control unit. The support band is attached to and surrounds the inflatable bladder. The support band is reconfigurable, in response to an input from the control unit, from a standby configuration for between blood pressure measurements to a measurement configuration for constraining the inflatable bladder while the inflatable bladder is in an inflated state during a blood pressure measurement. The control unit includes a bladder pump for inflation of the inflatable bladder during a blood pressure measurement and controls the selective reconfiguration of the support band.

Abstract: A configuration for a breathing sequence may be defined using a hardware element of a user device. A user interface of the user device may be used to begin the breathing sequence. During the breathing sequence, a fluctuating progress indicator user interface element may fluctuate at a cyclic rate. Such fluctuation may include repeated growing and repeated shrinking of the fluctuating progress indicator user interface element. During the breathing sequence, heart rate data may be collected and used to present heart rate information at a conclusion of the breathing sequence.

Abstract: Disclosed herein are devices and methods of using a mobile or wearable device for the acquisition and spatial filtering of ECG signals from an electrode array. One variation of a mobile or wearable device comprises an array of electrodes, one or more reference electrodes, and a controller in communication with the electrodes. In one example, the one or more reference electrodes are located on a wrist-worn device (e.g., a watch), and the electrode array is located on an accessory device that may be contacted with a fingertip. One variation of a spatial filtering method comprises identifying the electrodes that have high levels of noise and excluding the ECG signals from those electrodes from further analyses. In another variation, a method of spatial filtering comprises identifying electrodes with low levels of noise and including only the ECG signals from those electrodes in further analyses.

Abstract: A breathing sequence may define a suggested breathing pattern. Input may be received at a user interface of a device to initiate the breathing sequence. The breathing sequence may include a configuration phase in which configuration information may be received. The configuration information may define a variable time period for the breathing sequence. The breathing sequence also may include a preliminary phase during which a first version of a fluctuating progress indicator may be presented on the user interface. The fluctuating progress indicator may include a plurality of variable visual characteristics and may fluctuate at a first cyclic rate. The breathing sequence may also include a breathing phase during which a second version of the fluctuating progress indicator may be presented. The second version of the fluctuating progress indicator may fluctuate at a second cyclic rate according to a breathing rate.

Abstract: Disclosed herein are devices and methods of using a mobile or wearable device for the acquisition and spatial filtering of ECG signals from an electrode array. One variation of a mobile or wearable device comprises an array of electrodes, one or more reference electrodes, and a controller in communication with the electrodes. In one example, the one or more reference electrodes are located on a wrist-worn device (e.g., a watch), and the electrode array is located on an accessory device that may be contacted with a fingertip. One variation of a spatial filtering method comprises identifying the electrodes that have high levels of noise and excluding the ECG signals from those electrodes from further analyses. In another variation, a method of spatial filtering comprises identifying electrodes with low levels of noise and including only the ECG signals from those electrodes in further analyses.

Abstract: Techniques are provided for tracking heartrate metrics using different operating modes associated with different contexts of a wearable device. For example, a heartrate sensor of the wearable device may be operated in a first operating mode when an activity is being tracked within an application session of a particular application. The heartrate sensor may be operated in a second operating mode after detecting conclusion of the activity within the activity session (e.g., during sedentary time).

Abstract: An in-bed haptic device may include an array of actuation cells. Actuation cells of the array of actuation cells may be configured to actuate (e.g., expand, contract, or otherwise change shape) in a predetermined sequence to provide haptic outputs. The in-bed haptic device may be configured to be placed beneath a user during use, for example between a user and a mattress. The haptic outputs may be provided to help a user relax, to move and/or wake a user, to indicate outputs, alerts, or notifications at the in-bed haptic device or another electronic device, or the like.

Abstract: Embodiments of the present disclosure can provide systems, methods, and computer-readable medium for tracking the heartrate of a user using different techniques associated with different contexts. For example, motion of a user wearing a wearable device can be tracked using at least first sensors of the one or more sensors. The physical state of the user can also be tracked using at least second sensors of the one or more sensors. In some cases it can be determines whether an application of the wearable device has been launched. Additionally, an activity category of the user can be determined based at least in part on the motion of the user, the physical state of the user, and/or whether the application has been launched. Heartrate data of the user can be collected, and the heartrate data can be categorized based at least in part on the determined category.