System and method for biometric identification using sleep physiology
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Abstract
The claimed invention comprises software methods for user continuity and physiological state change assessments through generating biometric profiles of individuals and/or groups of individuals by using physiological input together with biomathematical modeling and machine learning techniques. Intra-individual variation in physiological variables including, but not limited to: heart rate, heart rate variability, pulse waveform and its derivatives, blood pressure, breathing rate, cardiopulmonary coupling, actigraphy and circadian rhythms characteristics, are exploited.
Core Innovation
The invention uses a method for biometric identification in which an electronic device receives at least one physiological data stream of an individual from a device associated with the individual, and derives at least one physiological metric from the physiological data stream. The method exploits at least one intra-individual variation manifesting from the at least one physiological metric to generate at least one biometric profile for the individual.
The method continuously compares a later acquired physiological data stream from the device to the at least one biometric profile in order to determine user continuity of the device, wherein continuity is determined from physiological data related to the individual and the later data stream from the device. The system stores the biometric profile(s) in a database and performs the continuous comparison using the processor and communications means.
The biometric profile generation is based on exploiting intra-individual variation manifesting from derived physiological metrics, including physiological metrics related to cardiovascular, respiratory, motion-related, and circadian rhythm characteristics. The document further focuses on pulse waveform metrics and derivatives such as augmentation index, left ventricular ejection time, photoplethysmographic rising front, left ventricular stroke slope, and pulse wave velocity, and uses profiles to support assessment of physiological state change using segmentation into biological states including sleep, rest, and free-living.
Claims Coverage
The partial content includes two independent claims. Both independent claims center on generating biometric profile(s) from physiological metrics using intra-individual variation, and continuously comparing later or incoming physiological data to determine user continuity of the device using physiological data related to the individual.
Intra-individual variation to generate biometric profile for an individual
Exploiting at least one intra-individual variation manifesting from the at least one physiological metric to generate at least one biometric profile for the individual.
Continuous comparison to determine user continuity
Continuously comparing a later acquired physiological data stream from the device to the at least one biometric profile to determine user continuity of the device, wherein continuity is determined from physiological data related to the individual and the later data stream from the device.
Storing biometric profile in database and comparing against another physiological metric
Store the at least one biometric profile in the database; and continuously compare the at least one biometric profile to another physiological metric from the device to determine user continuity of the device, wherein continuity is determined from physiological data related to the individual and the another physiological metric from the device.
Across the independent claims, the core claim coverage is the use of intra-individual variation in derived physiological metrics to generate biometric profile(s), followed by continuous comparison of subsequent physiological data (or another physiological metric) to determine user continuity using physiological data related to the individual.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Not explicitly described in patent.
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