Apple Inc.

Other

Pacesetter, Inc.

Sitime Corporation

Erno H Klaassen

Stephen J Waydo

Zijing Zeng

Ravi Narasimhan

Jay Kriz Blahnik

Thomas J Sullivan

Todd K Whitehurst

Richard C Kimoto

Derek Park-Shing Young

Alan C Dye

Gary Ian Butcher

Kevin M Lynch

Julie A Arney

Christopher J Brouse

Gracee Agrawal

Nader E Bagherzadeh

Wren Nancy Dougherty

Santiago Quijano

Brian Richards Land

Shahrooz Shahparnia

Serhan O Isikman

Evan Russell Doll

Ian R Shapiro

Xiaoyu Guo

Roxanne B Brittain

Christian Schroeder

Paras Samsukha

Divya Padmanabhan

Joefrey S Kibuule

Alexa VanHattum

Hopil Bae

Joseph M Schmitt

Kingsuk Brahma

Jay C Blahnik

Manu Agarwal

Habib Sami Karaki

James C Clements

Johannes Anne Bruinsma

Richard T Chen

Christopher A Bang

Zhipeng Zhang

Christian M Sauer

John K Gritters

Crist Y Lu

Li Fan

Eric Christophe Labbe

Antonio F Herrera

Linda D Benavente-Notaro

Riley E Brandt

Ezekiel John Joseph Kruglick

Jin Zhang

Denis J Lin

Sathi Perumal

Hsin-Chih Yeh

Ravi Narashimhan

Alexa M Vanhattum

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.

Systems and methods of spatial filtering for measuring electrical signals

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.

In-bed temperature array for menstrual cycle tracking

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.

Heartrate tracking techniques

Methods and devices for obtaining a blood pressure measurement of a subject measure a transit time of a blood pulse of the subject. A method includes sensing, with a pulse ejection sensor of a wrist-worn device, ejection of blood from the left ventricle. Arrival of a resulting blood pressure pulse at the wrist is sensed via a pulse arrival sensor of the wrist-worn device. A transit time of the blood pressure pulse from the left ventricle to the wrist is determined. A relative blood pressure value of the subject is determined based on the transit time. A reference absolute blood pressure value associated with the relative blood pressure value is received. An absolute blood pressure value for the relative blood pressure value is determined based on the reference absolute blood pressure value and the relative blood pressure value.

Blood pressure monitoring using a multi-function wrist-worn device

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. Prior to beginning the breathing sequence, the user device can determine a breath ratio for the breathing sequence based on a breathing profile. The breath ratio is based at least in part on inhale time and exhale time of a breath of the breathing sequence. During the breathing sequence, a fluctuating user interface element may fluctuate at a cyclic rate corresponding to the breath ratio. Such fluctuation may include repeated growing and repeated shrinking of the fluctuating user interface element.

Fluctuating progress indicator

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.

A pulse transit time is measured non-invasively and used to calculate a blood pressure value. A method of determining one or more blood pressure values includes propagating an alternating drive current through a thorax of a subject via electrodes located on a wrist-worn device. Resulting voltage levels of the subject are sensed by the wrist-worn device. The voltage levels are processed to detect when a volume of blood is ejected from the left ventricle. Output from a pulse arrival sensor coupled to the wrist-worn device is processed to detect when a blood pressure pulse generated by ejection of the volume of blood from the left ventricle arrives at the wrist. A pulse transit time (PTT) for transit of the blood pressure pulse from the left ventricle to the wrist is calculated. One or more blood pressure values for the subject are determined based on the PTT.

Electrical coupling of pulse transit time (PTT) measurement system to heart for blood pressure measurement

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).

Vital signs monitoring system

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.

Pneumatic haptic device having actuation cells for producing a haptic output over a bed mattress

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).

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.

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.

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Los Altos, CA, United States of America

Erno H Klaassen