Vital Connect, Inc.

Nandakumar Selvaraj

Ravi Narasimhan

Toai Doan

Gabriel Nallathambi

Alexander Chan

Ben Alexander

Arshan Aga

Ashwin Upadhya

Anuj Sareen

Thang Tran

Zachary Bernal

Paul Kettle

A wireless wearable sensor device, system, method, and non-transitory computer readable medium for screening for structural heart disease based on electrocardiogram, phonocardiogram, and/or accelerometer signals on a patient's skin surface.

Screening device, method, and system for structural heart disease

A system, device and method of calibrating a sensor determine a sensor vector associated with a subject; process the sensor vector; determine a sensor elevation angle as a prediction of the subject's body elevation from a result of processing the sensor vector; and perform calibration using the sensor vector, sensor elevation angle, and a gravity vector.

Sensor calibration considering subject-dependent variables and/or body positions

A method and system for providing health-monitoring alarm management have been disclosed. In a first aspect, the method comprises detecting at least one vital sign signal using a wearable sensor device and managing an alarm mechanism of the wearable sensor device based on the at least one vital sign signal. In a second aspect, the system comprises a sensor for detecting at least one vital sign signal, a processor coupled to the sensor, and a memory device coupled to the processor, wherein the memory device stores an application which, when executed by the processor, causes the processor to manage an alarm mechanism of the wearable sensor device based on the at least one vital sign signal.

Generating automated alarms for clinical monitoring

A method and system for determining a respiratory rate of a user using an electrocardiogram (ECG) segment of the user are disclosed. The method comprises decomposing the ECG segment into a plurality of functions and evaluating the plurality of functions to choose one of the plurality of functions based on a respiratory band power. The method includes determining the respiratory rate using the one of the plurality of functions and a domain detection.

Respiratory rate detection using decomposition of ECG

A method and system for detecting pacing pulses originating from implanted pacemaker using surface Electrocardiogram (ECG) signals measured at a relatively low sampling rate and also rejecting the pacing artifacts from the recorded surface ECG signals.

Method and system for pacing pulse detection and pacing artifact rejection

A method and system for determining a signal quality metric of a cardiovascular time series utilizing a wireless sensor device are disclosed. In a first aspect, the method comprises determining subsequent values of the cardiovascular time series and comparing the determined subsequent values to a threshold value. In a second aspect, a wireless sensor device comprises a processor and a memory device coupled to the processor, wherein the memory device includes an application that, when executed by the processor, causes the processor to determine subsequent values of the cardiovascular time series and compare the determined subsequent values to a threshold value.

Signal quality metric for cardiovascular time series

A method and system for sleep apnea detection are disclosed. The method comprises detecting at least one respiratory signal and utilizing a detection algorithm to automatically detect at least one sleep apnea event from the at least one respiratory signal. The system includes a sensor to determine at least one respiratory signal, a processor coupled to the sensor, and a memory device coupled to the processor, wherein the memory device includes a detection algorithm and an application that, when executed by the processor, causes the processor to utilize the detection algorithm to automatically determine at least one sleep apnea event from the at least one respiratory signal.

Detection of sleep apnea using respiratory signals

A biosensor screening system and method is disclosed that assesses functional integrity/capacity of biosensor samples and identifies the biosensor samples that may potentially cause failure such as shutdown of biosensor during normal use. Features of the disclosed biosensor screening system and method may include connecting to a biosensor to a biosensor screening test apparatus, conducting a biosensor screening test using the biosensor screening apparatus on the biosensor connected to the biosensor screening test apparatus, collecting data attributes from the biosensor after completing the biosensor test, scaling the collected data attributes, and obtaining a screening test score.

System and method of screening biosensors

System and method for validating algorithms used in medical devices is disclosed. As disclosed, the system and method include generating a synthetic waveform, inputting the generated synthetic waveform to the testing device, capturing an output values for the input values generating synthetic waveform from the testing device; and comparing the output values to the input values to determine performance metrics of the testing device to validate the algorithm on the testing device.

Synthetic simulation system for testing of physiological monitoring devices

A Noninvasive Blood Pressure (NIBP) device, method, and system may employ one or more sensors configured to sense physiological changes associated with cardiovascular function and provide signals corresponding to the sensed physiological changes; one or more signal detectors to detect an ECG signal, a PPG signal, and a PCG signal from the signals provided by the one or more sensors; a computational system configured to derive signal features related to the detected signal waveforms; process the signal features to determine measurements of noninvasive blood pressure using one or more independent prediction models; and output a result of the determination.

Noninvasive blood pressure measurement and monitoring

A method and system for determining psychological acute stress are disclosed. In a first aspect, the method comprises detecting a physiological signal using a wireless sensor device, determining a stress feature using a normalized heart rate and a plurality of heart rate variability (HRV) features, wherein the normalized heart rate and the plurality of heart rate variability features are calculated using the detected physiological signal, and determining a stress level using the stress feature to determine the psychological acute stress. In a second aspect, the system comprises a wireless sensor device that includes a processor and a memory device coupled to the processor, wherein the memory device stores an application which, when executed by the processor, causes the wireless sensor device to carry out the steps of the method.

Psychological acute stress measurement using a wireless sensor

A method and system for determining energy expenditure (EE) are disclosed. The method comprises determining a plurality of sensor streams using a plurality of detected physiological signals and processing the plurality of sensor streams to determine the EE. The system includes at least one sensor to detect a plurality of physiological signals, a processor coupled to the at least one sensor, and a memory device coupled to the processor, wherein the memory device includes an application that, when executed by the processor, causes the processor to determine a plurality of sensor streams using a plurality of detected physiological signals and to process the plurality of sensor streams to determine the EE.

Determining energy expenditure using a wearable device

A method and system for continuously monitoring basal heart rate are disclosed. The method comprises detecting a plurality of physiological signals of a user and in response to determining that the user is inactive, filtering the plurality of physiological signals to provide a set of data. The method further includes calculating the basal heart rate of the user using the set of data and an algorithmic process. The system includes at least one sensor to detect a plurality of physiological signals of a user, a processor coupled to the at least one sensor, and a memory device coupled to the processor, wherein the memory device includes an application that, when executed by the processor, causes the processor to carry out the steps of the method.

Determination and monitoring of basal heart rate

A method and system for automatically determining bed-time periods are disclosed. The method comprises detecting at least one physiological signal, determining a posture angle and an activity level using the at least one detected physiological signal, and determining a bed-time period using both the posture angle and the activity level. The system includes at least one sensor to detect a plurality of physiological signals, a processor coupled to the at least one sensor, and a memory device coupled to the processor, wherein the memory device includes an application that, when executed by the processor, causes the processor to detect a posture angle using at least one of the plurality of detected physiological signals and to determine a bed-time period using both the posture angle and the activity level.

Growing community of inventors

San Jose, CA, United States of America

Nandakumar Selvaraj