Abstract: Individual-specific changes in health conditions are detected using a latent space mapping generated from baseline physiological data collected in a longitudinal study of the individual. Historical baseline data in an n-dimensional input space is modeled into a k-dimensional latent space, where k<n. The mapping for the model is then used to convert new physiological data into a latent space point, which can be used to determine if the associated newly collected physiological data is anomalous and thus indicative of a change in health condition. Anomalies can be inferred from poor fit between the point and baseline data within the latent space, or form large error between data reconstructed into the input space from the point and the original new physiological data.

Abstract: The invention provides a method for verifying a person's identity, which includes obtaining a password and/or random key from a person, and comparing the obtained password and/or random key to a plurality of known passwords and/or random keys to determine a likely identity of the person. The method further includes measuring a specific biometric of the person, the specific biometric comprising a respiratory, cardiac, or other physiologic biometric, and comparing the measured specific biometric to the known specific biometric of the person that is associated with the obtained password and/or random key to verify the likely identity of the person.

Abstract: A method for determining cardiac parameters of a subject includes receiving a signal from a thoracocardiograph (TCG) sensor. The signal is sensitive to positions and/or motions of an anterior chest wall of the subject and include a cardiac component, a respiratory component, and noise and/or artifact components. The method also includes receiving one or more electrocardiogram (ECG) signals and filtering the received TCG signal to limit one or more of the respiratory component and the noise and/or artifact components. The filtering includes one or more of wavelet de-noising, non-linear filtering, and state space filtering. The method further includes ensemble averaging thefiltered TCG signal. Ensemble members are triggered by occurrence of one or more selected fiducial points determined in the ECG signal. Additionally, the method includes extracting parameters of cardiac functioning from the ensemble averaged signal.

Abstract: The invention provides a method for verifying a person's identity, which includes obtaining a password and/or random key from a person, and comparing the obtained password and/or random key to a plurality of known passwords and/or random keys to determine a likely identity of the person. The method further includes measuring a specific biometric of the person, the specific biometric comprising a respiratory, cardiac, or other physiologic biometric, and comparing the measured specific biometric to the known specific biometric of the person that is associated with the obtained password and/or random key to verify the likely identity of the person.

Abstract: The invention provides a method for determining when a person is snoring by determining a candidate snore event by detecting the occurrence of a person's breath, and detecting the occurrence of a sound event. The method further includes confirming that the candidate snore event is not an isolated snore event by determining that breaths immediately preceding and following the candidate snore event include other candidate snore events.

Abstract: The present invention is directed to improved systems and methods for processing respiratory signals derived generally from respiratory plethysmography, and especially from respiratory inductive plethysmographic sensors mounted on a garment for ambulatory recording. The systems and methods provide improved signal filtering for artifact rejection, improved calibration of sensor data to produce outputs indicative of lung volumes. Further, this invention provides improved systems and methods directed to processing lung volume signals, however measured or derived, to provide improved determination of respiratory parameters and improved recognition of selected respiratory events.

Abstract: This invention provides methods for non-invasively monitoring patients with congestive heart failure (CHF) and for reporting and/or warning of changes in the patients' status. The methods gather physiological data and combine the data into parameters by which the severity of CHF can be judged. Preferred parameters include periodic breathing and heart rate variability. This invention also provides systems for carrying out these methods which permit patients to engage in their normal daily activities. Preferably, physiological data analysis is performed by a portable electronic unit carried by the patients.

Abstract: This invention provides methods and systems for extracting cardiac parameters, including ventricular wall motion, from a plethysmographic signal is provided. Additionally, the invention provides a wide range of uses and system configurations for cardiac monitoring, including ambulatory uses, uses for stress testing, uses for monitoring first responder personnel, and the like.

Abstract: The invention provides a method for determining when a person is snoring by determining a candidate snore event by detecting the occurrence of a person's breath, and detecting the occurrence of a sound event. The method further includes confirming that the candidate snore event is not an isolated snore event by determining that breaths immediately preceding and following the candidate snore event include other candidate snore events.

Abstract: The invention provides a method for verifying a person's identity, which includes obtaining a password and/or random key from a person, and comparing the obtained password and/or random key to a plurality of known passwords and/or random keys to determine a likely identity of the person. The method further includes measuring a specific biometric of the person, the specific biometric comprising a respiratory, cardiac, or other physiologic biometric, and comparing the measured specific biometric to the known specific biometric of the person that is associated with the obtained password and/or random key to verify the likely identity of the person.