A61B5/117

METHODS, SYSTEMS, AND COMPUTER-READABLE MEDIA FOR DECREASING PATIENT PROCESSING TIME IN A CLINICAL SETTING
20220392620 · 2022-12-08 · ·

Techniques may include verifying an identity of a patient based on ID information associated with the patient; communicating with an EMR platform to: access previously entered medical data associated with the patient, when the patient is a returning patient; or create a new account associated with the patient, when the patient is a new patient; presenting, via an interface of an apparatus, instructions for acquiring instantaneous physiological data associated with the patient; acquiring the instantaneous physiological data associated with the patient via one or more physiological data acquiring components of the apparatus; and communicating, by the apparatus, with the EMR platform to update the medical data associated with the patient based on the instantaneous physiological data associated with the patient, and by providing one or more recommendations for further care based on the medical data associated with the patient.

METHODS, SYSTEMS, AND COMPUTER-READABLE MEDIA FOR DECREASING PATIENT PROCESSING TIME IN A CLINICAL SETTING
20220392620 · 2022-12-08 · ·

Techniques may include verifying an identity of a patient based on ID information associated with the patient; communicating with an EMR platform to: access previously entered medical data associated with the patient, when the patient is a returning patient; or create a new account associated with the patient, when the patient is a new patient; presenting, via an interface of an apparatus, instructions for acquiring instantaneous physiological data associated with the patient; acquiring the instantaneous physiological data associated with the patient via one or more physiological data acquiring components of the apparatus; and communicating, by the apparatus, with the EMR platform to update the medical data associated with the patient based on the instantaneous physiological data associated with the patient, and by providing one or more recommendations for further care based on the medical data associated with the patient.

Water-based vaporizable liquids, methods and systems for vaporizing same
11517039 · 2022-12-06 · ·

Provided are systems, methods, and liquids related to electronic vapor devices. In one aspect, the application relates to a water-based vaporizable liquid for use in the systems, methods and electronic vapor devices. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

Water-based vaporizable liquids, methods and systems for vaporizing same
11517039 · 2022-12-06 · ·

Provided are systems, methods, and liquids related to electronic vapor devices. In one aspect, the application relates to a water-based vaporizable liquid for use in the systems, methods and electronic vapor devices. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

Method and system for identifying biometric characteristics using machine learning techniques

A method and system may use machine learning analysis of audio data to automatically identify a user's biometric characteristics. A user's client computing device may capture audio of the user. Feature data may be extracted from the audio and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.

Device and method for liveness detection

A device for liveness detection is disclosed. The liveness detecting device has a simplest structure that principally comprises a light sensing unit and a signal processing module. Particularly, the signal processing module is configured for having a physiological feature extracting unit and a liveness detecting unit therein. The physiological feature extracting unit is adopted for extracting a first physiological feature from a PPG signal, or extracting a second physiological feature from the PPG signal that has been applied with a signal process. As such, through the first and second physiological features, the liveness detecting unit is able to determine whether a subject is a living body or not. The liveness detecting device does not use any camera unit and iPPG technology, such that the liveness detecting device has advantages of simple structure, low cost and immediately completing liveness detection.

PERSONAL AUTHENTICATION DEVICE, PERSONAL AUTHENTICATION METHOD, AND RECORDING MEDIUM

Provided is a personal authentication device capable of simply securing security with little psychological and physical burden of a user to be authenticated. Personal authentication device includes: transmission unit that transmits a first acoustic signal to a user's head; observation unit that observes a second acoustic signal after the first acoustic signal propagation; calculation unit that calculates acoustic characteristics from the first and the second acoustic signal; extraction unit that extracts a feature amount related to a user from the acoustic characteristics; storage control unit that registers the feature amount in the storage unit; identification unit that identifies the user by collating the first feature amount with a second feature amount; and storage unit stores the first feature amount, wherein while identification unit identifies the user as being identical, transmission unit transmits the first acoustic signal every predetermined interval.

PERSONAL AUTHENTICATION DEVICE, PERSONAL AUTHENTICATION METHOD, AND RECORDING MEDIUM

Provided is a personal authentication device capable of simply securing security with little psychological and physical burden of a user to be authenticated. Personal authentication device includes: transmission unit that transmits a first acoustic signal to a user's head; observation unit that observes a second acoustic signal after the first acoustic signal propagation; calculation unit that calculates acoustic characteristics from the first and the second acoustic signal; extraction unit that extracts a feature amount related to a user from the acoustic characteristics; storage control unit that registers the feature amount in the storage unit; identification unit that identifies the user by collating the first feature amount with a second feature amount; and storage unit stores the first feature amount, wherein while identification unit identifies the user as being identical, transmission unit transmits the first acoustic signal every predetermined interval.

ENCRYPTED ASSET CONTAINERS WITH CENTRALIZED SHAREABLE CREDENTIALS
20220385458 · 2022-12-01 ·

A security platform architecture is described herein. A user identity platform architecture which uses a multitude of biometric analytics to create an identity token unique to an individual human. This token is derived on biometric factors like human behaviors, motion analytics, human physical characteristics like facial patterns, voice recognition prints, usage of device patterns, user location actions and other human behaviors which can derive a token or be used as a dynamic password identifying the unique individual with high calculated confidence. Because of the dynamic nature and the many different factors, this method is extremely difficult to spoof or hack by malicious actors or malware software.

ISOLATING AND IDENTIFYING HUMANS USING MICRO-VIBRATION SIGNALS AS UNIQUE FINGERPRINTS
20220382844 · 2022-12-01 ·

A security platform architecture is described herein. A user identity platform architecture which uses a multitude of biometric analytics to create an identity token unique to an individual human. This token is derived on biometric factors like human behaviors, motion analytics, human physical characteristics like facial patterns, voice recognition prints, usage of device patterns, user location actions and other human behaviors which can derive a token or be used as a dynamic password identifying the unique individual with high calculated confidence. Because of the dynamic nature and the many different factors, this method is extremely difficult to spoof or hack by malicious actors or malware software.