Verily Life Sciences LLC

California Institute of Technology

Philip John Stephens

Emre Demiralp

Mark Murphy

Anthony J Mannucci

Attila Komjathy

Hongsheng Wang

Brian D Wilson

In some embodiments, features related to inter-beat intervals (IBI) detected by a PPG sensor of a wearable device are extracted and provided to a cardiovascular classifier in order to detect likely instances of a cardiac condition such as atrial fibrillation. Some embodiments use features related to the entropy of the IBI data to improve the predictions generated by the cardiovascular classifier. In some embodiments, co-information between the IBI data and IBI data gathered from healthy and AF populations is determined in order to derive features that represent the probability that a given sample of IBI data represents AF or a normal sinus rhythm. In response to determining likely instances of AF based on these features, the wearable device may obtain clinically acceptable data, such as an ECG, to be transmitted to a separate device for review by a clinician.

Systems and methods to detect cardiac events

Systems and techniques are disclosed for decoupling a wearable sensor's location on a user from the body movements desired to be measured by the sensor. Sensor data can be dynamically analyzed to determine a reference event (e.g., a static pose), which can be used to generate or update a transformation parameter (e.g., a quaternion or a rotational matrix). The transformation parameter can be applied to sensor data to transform the sensor data from the sensor's frame of reference to a global frame of reference. Once transformed, the movement data in the global frame can be analyzed to identify sensor-location-agnostic biomechanical features (e.g., body movements or movement trends), which can be further analyzed to identify probable or potential diagnoses correlated with the identified biomechanical features.

Decoupling body movement features from sensor location

Example embodiments assess cardiovascular health by receiving, from at least one monitoring device, pulse rate data from a subject. The pulse rate data includes pulse rate measurements and corresponding measurement timestamps. The embodiments select, with at least one processor, a plurality of recovery periods in the pulse rate data. Each recovery period corresponds to a respective decrease in pulse rate from a respective upper pulse rate to a respective lower pulse rate. The respective upper pulse rate is less than a peak pulse rate of the subject or the respective lower pulse rate is greater than a resting pulse rate of the subject. The embodiments determine, with the at least one processor, an exponential decay from the plurality of selected recovery periods. The exponential decay characterizes a pulse rate recovery for the subject. The embodiments provide, via a user interface, the pulse rate recovery based on the exponential decay.

Determination of pulse rate recovery

A method, system, and apparatus provide the ability to estimate ionospheric observables using space-borne observations. Space-borne global positioning system (GPS) data of ionospheric delay are obtained from a satellite. The space-borne GPS data are combined with ground-based GPS observations. The combination is utilized in a model to estimate a global three-dimensional (3D) electron density field.

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Thousand Oaks, CA, United States of America

Philip John Stephens