A61B5/0522

Electronic device, blood pressure measurement method of electronic device and blood pressure measurement system

According to one aspect of the present disclosure, an electronic device may include: a communication interface configured to receive, from a touch pen, force information about a force of the touch pen exerted onto an object when the object is in contact with the touch pen; a pulse wave measurer configured to measure a pulse wave of the object when the object is brought into contact with the electronic device by the force of the touch pen; and a processor configured to estimate a blood pressure of the object based on the force information and the pulse wave.

Electronic device, blood pressure measurement method of electronic device and blood pressure measurement system

According to one aspect of the present disclosure, an electronic device may include: a communication interface configured to receive, from a touch pen, force information about a force of the touch pen exerted onto an object when the object is in contact with the touch pen; a pulse wave measurer configured to measure a pulse wave of the object when the object is brought into contact with the electronic device by the force of the touch pen; and a processor configured to estimate a blood pressure of the object based on the force information and the pulse wave.

Neurophysiological data analysis using spatiotemporal parcellation

A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.

Neurophysiological data analysis using spatiotemporal parcellation

A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.

Personalized monitoring of injury rehabilitation through mobile device imaging

A method and system of diagnosing a medical condition of a target area of a patient using a mobile device are provided. One or more magnetic field images of a target area of a patient are received. One or more hyperspectral images of the target area of the patient are received. For each of the one or more magnetic field images and the one or more hyperspectral images, a three-dimensional (3D) position of the mobile device is tracked with respect to the target are of the patient. A 3D image of the target area is generated based on the received one or more magnetic field images, one or more hyperspectral images, and the corresponding tracked 3D position of the phone with respect to each image. A medical condition of the target area is diagnosed or monitored based on the generated 3D image.

Personalized monitoring of injury rehabilitation through mobile device imaging

A method and system of diagnosing a medical condition of a target area of a patient using a mobile device are provided. One or more magnetic field images of a target area of a patient are received. One or more hyperspectral images of the target area of the patient are received. For each of the one or more magnetic field images and the one or more hyperspectral images, a three-dimensional (3D) position of the mobile device is tracked with respect to the target are of the patient. A 3D image of the target area is generated based on the received one or more magnetic field images, one or more hyperspectral images, and the corresponding tracked 3D position of the phone with respect to each image. A medical condition of the target area is diagnosed or monitored based on the generated 3D image.

Headset device for detecting fluid in cranium via time varying magnetic field phase shifts and harmonics of fundamental frequencies

A diagnostic method for monitoring changes in a fluid medium in a patient's head. The method includes positioning a transmitter at a first location on or near the patient's head, the transmitter generates and transmits a time-varying magnetic field into a fluid medium in the patient's head responsive to a first signal; positioning a receiver at a second location on or near the patient's head offset from the transmitter, the receiver generates a second signal responsive to a received magnetic field at the receiver; transmitting a time-varying magnetic field into the fluid medium in the patient's head in response to the first signal; receiving the transmitted magnetic field; generating the second signal responsive to the received magnetic field; and determining, a phase shift between the transmitted magnetic field and the received magnetic field for a plurality of frequencies of the transmitted time-varying magnetic field.

Headset device for detecting fluid in cranium via time varying magnetic field phase shifts and harmonics of fundamental frequencies

A diagnostic method for monitoring changes in a fluid medium in a patient's head. The method includes positioning a transmitter at a first location on or near the patient's head, the transmitter generates and transmits a time-varying magnetic field into a fluid medium in the patient's head responsive to a first signal; positioning a receiver at a second location on or near the patient's head offset from the transmitter, the receiver generates a second signal responsive to a received magnetic field at the receiver; transmitting a time-varying magnetic field into the fluid medium in the patient's head in response to the first signal; receiving the transmitted magnetic field; generating the second signal responsive to the received magnetic field; and determining, a phase shift between the transmitted magnetic field and the received magnetic field for a plurality of frequencies of the transmitted time-varying magnetic field.

Modelling a structure in a body

Methods and systems of computing parameter values of one or more model parameters are described. The model models structural and dielectric properties of a structure in a human or an animal body. An exemplary method includes: accessing voltage measurements made at different places in the vicinity of the structure by one or more in-body field sensing electrodes in response to currents applied to one or more field supplying electrodes; and computing the parameter values by adjusting the parameter values to fit predicted voltage values to the accessed voltage measurements, wherein the predicted voltage values are predicted from the model for the currents applied to the field supplying in-body electrodes.

Magnetic Induction Molecular Imaging Method and Magnetic Induction Molecular Imaging System for Biological Tissue Detection
20230108098 · 2023-04-06 ·

A magnetic induction molecular imaging method and a magnetic induction molecular imaging system for biological tissue detection, comprises a detection bed, a magnetic nanoparticle device, a magnetic field generating device, a signal receiving and transmitting device, a magnetic field signal acquisition device and computer equipment, wherein the magnetic nanoparticle device is used for sending magnetic nanoparticles to a to-be-detected area of the detection bed; the magnetic field generating device is used for generating and transmitting electromagnetic waves to the signal receiving and transmitting device; the signal receiving and transmitting device is used for receiving the electromagnetic waves transmitted by the magnetic field generating device; the magnetic field signal acquisition device is used for acquiring scattered electric field information and scattered magnetic field information, based on the magnetic nanoparticles, of the to-be-detected area detected by each sensor on sensor arrays.