A system for determining identification of a patient communicating over a computer network with a medical provider with certainty is provided using biometric data captured by said medical provider with subsequent biometric data generated by biometric sensors proximal to a patient. Using previously captured biometric information concerning physical characteristics unique to the patient and comparing such to subsequently generated biometric data from the patient, a medical provider can determine the identity of a patient attempting communication over a computer network with the medical provider.

A vehicular occupant health monitoring system includes a heartbeat sensor disposed at a vehicle and operable to capture sensor data measuring an aspect associated with the heart of an occupant of the vehicle. A control includes a processor operable to process sensor data captured by the heartbeat sensor and provided to the control. The vehicular occupant health monitoring system, responsive to processing by the processor of sensor data captured by the heartbeat sensor, determines whether the measured aspect associated with the heart of the occupant is abnormal. The vehicular occupant health monitoring system, responsive to determining the measured aspect associated with the heart of the occupant is abnormal, controls a function of the vehicle.

A vehicular occupant health monitoring system includes a heartbeat sensor disposed at a vehicle and operable to capture sensor data measuring an aspect associated with the heart of an occupant of the vehicle. A control includes a processor operable to process sensor data captured by the heartbeat sensor and provided to the control. The vehicular occupant health monitoring system, responsive to processing by the processor of sensor data captured by the heartbeat sensor, determines whether the measured aspect associated with the heart of the occupant is abnormal. The vehicular occupant health monitoring system, responsive to determining the measured aspect associated with the heart of the occupant is abnormal, controls a function of the vehicle.

In accordance with one embodiment, a method for a health scanning system is disclosed. The method includes receiving at least one electrical physiological data signal (PDS); suppressing a Direct Current (DC) signal component of the PDS to emphasize the Alternating Current (AC) signal component of the PDS; isolating the signal noise in the AC signal component of the PDS; and extracting a noise signature from the signal noise in the PDS. The noise signature, after calibration, can be used to uniquely identify a known user from other users.

In accordance with one embodiment, a method for a health scanning system is disclosed. The method includes receiving at least one electrical physiological data signal (PDS); suppressing a Direct Current (DC) signal component of the PDS to emphasize the Alternating Current (AC) signal component of the PDS; isolating the signal noise in the AC signal component of the PDS; and extracting a noise signature from the signal noise in the PDS. The noise signature, after calibration, can be used to uniquely identify a known user from other users.

A computer-implemented authentication method, the method comprising: matching a brain pattern sequence with a predetermined password to allow access to a system, wherein the brain pattern sequence is calculated by analyzing a signal slope of a slope threshold of the brain activity to determine a timing and a duration of the brain activity.

A computer-implemented authentication method, the method comprising: matching a brain pattern sequence with a predetermined password to allow access to a system, wherein the brain pattern sequence is calculated by analyzing a signal slope of a slope threshold of the brain activity to determine a timing and a duration of the brain activity.

Introduced are methods and systems for: gathering human biological signals, such as heart rate, respiration rate, or temperature; analyzing the gathered human biological signals; and controlling a vibrating pillow strip based on the analysis.

Introduced are methods and systems for: gathering human biological signals, such as heart rate, respiration rate, or temperature; analyzing the gathered human biological signals; and controlling a vibrating pillow strip based on the analysis.

An authentication method comprising creating electrocardiogram data of users; calculating a similarity between electrocardiogram data of each user and template data created by averaging electrocardiogram data of each user; creating and training a first NNmodel for every user by using similarities between electrocardiogram data of a user and template data of the same user and similarities between electrocardiogram data of a user and template data of another user, and creating and training second NNmodels for users by using similarities between electrocardiogram data of a user and template data of the user and similarities between electrocardiogram data of the user and template data of another user; and executing a first step in which the similarities calculated using electrocardiogram data for authentication of a user to be authenticated and template data are input to the first NNmodel, and executing a second step in which the similarities are input to the second NNmodels.