Abstract: Pulmonary function estimation can include detecting one or more cough events from a time series of audio signals generated by an electronic device of a user. Based on the one or more cough events, one or more lung function metrics of the user can be determined.

Abstract: A method includes receiving stress-related measurements collected by one or more stress sensors, where the stress-related measurements represent one or more physiological responses of a user to a stressor. The method also includes receiving context data collected by one or more context sensors, where the context data represents a context associated with the user. The method further includes determining stress profile features associated with the user based on the stress-related measurements. The method also includes providing the stress profile features to a trained stress profile identification machine learning model to select a stress profile from among multiple candidate stress profiles for association with the user. The method further includes providing the selected stress profile and the context data to a trained stress intervention recommendation machine learning model to select a stress intervention activity for the user.

Abstract: In particular embodiments, a method includes accessing, by a computing device, sensor data from a sensor of a client device corresponding to a user. The method further includes determining one or more segments of sensor data and selecting at least one segment of sensor data. The method further concludes determining, based at least on the selected segments of sensor data, one or more features corresponding to the user's pulmonary condition. The method further includes determining, based at least on the determined features, an assessment of the user's pulmonary condition.

Abstract: A method includes estimating, by a consumer electronic device, an atrial fibrillation (AF) burden of a subject based on multiple measurements passively collected by at least one sensor associated with the consumer electronic device while the subject is in a free-living environment. The method also includes outputting, by the consumer electronic device, an AF burden notification associated with the subject based on the estimated AF burden. The method further includes outputting, by the consumer electronic device, an AF burden recommendation based on the estimated AF burden.

Abstract: A method includes receiving, by an electronic device, sensor data during a spirometry test of a user, the sensor data comprising audio data of the user and distance data of a distance from a face of the user to the electronic device. The method also includes obtaining, by the electronic device, an amount of air volume exchange and at least one pulmonary health parameter that are determined based on the audio data and the distance data. The method also includes presenting an indicator on a display of the electronic device for use by the user or a medical provider, the indicator representing the amount of air volume exchange.

Abstract: A method includes obtaining, by an electronic device, an audio segment comprising one or more audio events of a target subject. The method also includes extracting, by the electronic device, audio embeddings from the one or more audio events using an embedding model, the embedding model comprising a trained machine learning model. The method further includes comparing, by the electronic device, the extracted audio embeddings with a match profile of the target subject, the match profile generated during an enrollment stage. The method also includes generating, by the electronic device, a label for the audio segment based on whether or not the extracted audio embeddings match the match profile, wherein the label enables correlation of the audio segment with the target subject for monitoring a health condition of the target subject.

Abstract: Adaptive respiratory condition assessment can include capturing signals generated by sensors of a portable device positioned to sense a user's body. The sensors can generate the signals in response to sensor-detected movements of the user's body measured along multiple axes and corresponding to lung activity in the user's body during respiratory cycles. A preferred axis of measurement can be selected using signal processing performed by a signal processor embedded in the portable device. Waveforms generated from signals corresponding to signals generated in response to movements of the user's body measured along the preferred axis can be filtered for extracting biomarkers from the waveforms using the signal processor. The one or more biomarkers extracted correspond to the lung activity. Based on the biomarkers, a respiratory condition of the user can be determined. A notification based on the respiratory condition as determined can be generated and conveyed with the portable device.

Abstract: A method includes receiving multimodal data collected using at least one wearable device during an assessment window. The method also includes extracting biomarker features from the multimodal data, based on changes in the extracted biomarker features. The method also includes detecting that a stress event occurred during the assessment window. The method also includes accessing a plurality of templates of patterns in biomarker features, wherein a first subset of the templates is associated with unhealthy response to stress and a second subset of the templates is associated with healthy response to stress. The method also includes determining whether the stress event corresponds to a healthy response or an unhealthy response based on similarities between a pattern in the extracted biomarker features and the plurality of templates. The method also includes responsive to the stress event corresponding to an unhealthy response, providing a stress management recommendation.

Abstract: Personalized vertigo rehabilitation and treatment can include generating a sequence of sounds that are modulated to perceptually emanate from one or more distinct locations in three-dimensional space relative to a user. The sequence can be predetermined to guide head movements of the user in a prescribed manner to mitigate vertigo experienced by the user. The user's head movements can be tracked as the user responds to the sequence of sounds. A signal can be conveyed to the user in response to detecting a predetermined head movement by the user.

Abstract: Continuously monitoring heart rhythm can include grouping, using computer hardware, a plurality of inter-beat intervals (IBI) data for a user into a plurality of epochs, wherein each epoch includes a subset of the IBI data corresponding to a predetermined time span. For each epoch, a selected feature set selected from a plurality of feature sets is extracted based on a determination of temporal consistency of the epoch. A plurality of epoch classifications may be generated for the epochs using a selected feature processor, wherein each epoch classification indicates whether arrhythmia is detected for the epoch from which the epoch classification is generated. The selected feature processor is selected from a plurality of different feature processors on a per-epoch basis based on the selected feature set extracted from the epoch. An indication of arrhythmia may be output, via an output device of the computer hardware, based on the epoch classifications.

Abstract: Energy-efficient monitoring and detection of atrial fibrillation using an electronic device can include scheduling, by the electronic device, monitoring periods during which the electronic device intermittently monitors a user of the electronic device for atrial fibrillation. The scheduling can be based on determining an AF risk specific to the user. Time intervals between successive AF monitoring periods can be modulated by the electronic device in response to detecting a change in the AF risk.

Abstract: Pulmonary assessment based on speech can include identifying one or more audio features and speech patterns of a user's speech. A cognitive burden associated with the user's speech can be determined.

Abstract: A method for pulmonary condition monitoring includes selecting a phrase from an utterance of a user of an electronic device, wherein the phrase matches an entry of multiple phrases. At least one speech feature that is associated with one or more pulmonary conditions within the phrase is identified. A pulmonary condition is determined based on analysis of the at least one speech feature.

Abstract: Continuously monitoring heart rhythm can include grouping, using computer hardware, a plurality of inter-beat intervals (IBI) data for a user into a plurality of epochs, wherein each epoch includes a subset of the IBI data corresponding to a predetermined time span. For each epoch, a selected feature set selected from a plurality of feature sets is extracted based on a determination of temporal consistency of the epoch. A plurality of epoch classifications may be generated for the epochs using a selected feature processor, wherein each epoch classification indicates whether arrhythmia is detected for the epoch from which the epoch classification is generated. The selected feature processor is selected from a plurality of different feature processors on a per-epoch basis based on the selected feature set extracted from the epoch. An indication of arrhythmia may be output, via an output device of the computer hardware, based on the epoch classifications.

Abstract: A method includes estimating, by a consumer electronic device, an atrial fibrillation (AF) burden of a subject based on multiple measurements passively collected by at least one sensor associated with the consumer electronic device while the subject is in a free-living environment. The method also includes outputting, by the consumer electronic device, an AF burden notification associated with the subject based on the estimated AF burden. The method further includes outputting, by the consumer electronic device, an AF burden recommendation based on the estimated AF burden.

Abstract: A method includes identifying, by an electronic device, one or more segments within a first audio recording that includes one or more non-speech segments and one or more speech segments. The method also includes generating, by the electronic device, one or more synthetic speech segments that include natural speech audio characteristics and that preserve one or more non-private features of the one or more speech segments. The method also includes generating, by the electronic device, an obfuscated audio recording by replacing the one or more speech segments with the one or more synthetic speech segments while maintaining the one or more non-speech segments, wherein the one or more synthetic speech segments prevent recognition of some content of the obfuscated audio recording.

Abstract: Early detection of infectious respiratory diseases includes monitoring, during a predetermined time interval, electronic communications generated by network-connected portable devices, each portable device used by one of a plurality of users. The electronic communications are processed by extracting from each electronic communication biomarkers obtained by processing signals captured by the portable devices, the signals generated in response to sensor-detected respiratory activity of the portable device users. Clusters of users are generated based on the biomarkers and are conditioned based on pre-condition data extracted from the electronic communications, the pre-condition data corresponding to users determined to have pre-existing health conditions.

Abstract: Adaptive respiratory condition assessment can include capturing signals generated by sensors of a portable device positioned to sense a user's body. The sensors can generate the signals in response to sensor-detected movements of the user's body measured along multiple axes and corresponding to lung activity in the user's body during respiratory cycles. A preferred axis of measurement can be selected using signal processing performed by a signal processor embedded in the portable device. Waveforms generated from signals corresponding to signals generated in response to movements of the user's body measured along the preferred axis can be filtered for extracting biomarkers from the waveforms using the signal processor. The one or more biomarkers extracted correspond to the lung activity. Based on the biomarkers, a respiratory condition of the user can be determined. A notification based on the respiratory condition as determined can be generated and conveyed with the portable device.

Abstract: A method includes receiving, by an electronic device, sensor data during a spirometry test of a user, the sensor data comprising audio data of the user, image data of a face of the user, and distance data of a distance from the face of the user. The method also includes obtaining, by the electronic device, at least one measured parameter associated with the spirometry test that is determined using at least one of the audio data, the image data, or the distance data, wherein the at least one measured parameter is correlated with an amount of air volume exchange or an amount of exhalation force by the user during the spirometry test. The method further includes providing, by the electronic device, real time feedback during the spirometry test, the real time feedback based on the at least one measured parameter, the real time feedback indicating whether or not the user is performing the spirometry test correctly.

Abstract: A method includes receiving, by an electronic device, sensor data during a spirometry test of a user, the sensor data comprising audio data of the user and distance data of a distance from a face of the user to the electronic device. The method also includes obtaining, by the electronic device, an amount of air volume exchange and at least one pulmonary health parameter that are determined based on the audio data and the distance data. The method also includes presenting an indicator on a display of the electronic device for use by the user or a medical provider, the indicator representing the amount of air volume exchange.