A61B5/113

Detecting Obstructive Sleep Apnea/Hypopnea Using Micromovements
20230157632 · 2023-05-25 ·

Apnea-hypopnea detection includes obtaining accelerometer data from an accelerometer configured to measure micro-movements that are due to respiration. Displacement values are obtained from the accelerometer data. Features are obtained using the accelerometer data. An apnea-hypopnea index (AHI) is obtained from a machine learning model that uses the features as inputs. The displacement values correspond to peaks in the accelerometer data.

Detecting Obstructive Sleep Apnea/Hypopnea Using Micromovements
20230157632 · 2023-05-25 ·

Apnea-hypopnea detection includes obtaining accelerometer data from an accelerometer configured to measure micro-movements that are due to respiration. Displacement values are obtained from the accelerometer data. Features are obtained using the accelerometer data. An apnea-hypopnea index (AHI) is obtained from a machine learning model that uses the features as inputs. The displacement values correspond to peaks in the accelerometer data.

MAGNETO-LC RESONANCE TECHNOLOGY FOR REAL-TIME RESPIRATORY MOTION MONITORING
20230112341 · 2023-04-13 ·

A non-contact respiratory monitoring system comprises a magnetic microwire sensor coil that detects magnetic field changes due to motion of a magnet attached to a patient's chest. Field lines emanating from the magnet are parallel to a circumferential loop area of the coil and the coil is positioned at a distance to magnetically couple to the magnet. Impedance in the coil changes when the distance of the magnet to the coil changes due to the patient's breathing. An alternating voltage across coil is modified by the change in impedance. An impedance analyzer coupled to the coil applies the alternating voltage and measures the impedance changes. A computer system controls operation of impedance analyzer, receives respiratory monitoring information based on the coil's impedance changes from the impedance analyzer, and generates a graphical display of the respiratory monitoring information.

MAGNETO-LC RESONANCE TECHNOLOGY FOR REAL-TIME RESPIRATORY MOTION MONITORING
20230112341 · 2023-04-13 ·

A non-contact respiratory monitoring system comprises a magnetic microwire sensor coil that detects magnetic field changes due to motion of a magnet attached to a patient's chest. Field lines emanating from the magnet are parallel to a circumferential loop area of the coil and the coil is positioned at a distance to magnetically couple to the magnet. Impedance in the coil changes when the distance of the magnet to the coil changes due to the patient's breathing. An alternating voltage across coil is modified by the change in impedance. An impedance analyzer coupled to the coil applies the alternating voltage and measures the impedance changes. A computer system controls operation of impedance analyzer, receives respiratory monitoring information based on the coil's impedance changes from the impedance analyzer, and generates a graphical display of the respiratory monitoring information.

Mapping and real-time imaging a plurality of ablation lesions with registered ablation parameters received from treatment device

A method of imaging a tissue region may comprise visualizing lesions over a tissue region via an imaging catheter by viewing the tissue region through a viewing region purged by a fluid and identifying, with a computer, a location of each of the lesions relative to one another over the tissue region. The method may also include registering, with the computer, a unique set of ablation parameters received from a treatment device for lesion generation for each of the lesions and generating, with the computer, a map of the lesions based on the identified locations of the lesions. The method may also include visually displaying the map of the lesions in a common display with a real-time field of view image of a first lesion; and visually displaying the registered unique set of ablation parameters for the first lesion with the real-time field of view image of the first lesion.

Method and apparatus for non-contact fast vital sign acquisition based on radar signal

Various examples are provided for non-contact vital sign acquisition. Information can be provided regarding vibrations of a target using a radar signal such as, e.g., non-contact vital sign measurement. Examples include estimation of heart rate, change in heart rate, respiration rate, and/or change in respiration rate, for a human or other animal. Implementations can produce one or both rates of vibration and/or change in one or both rates of vibration for a target other than an animal or human experiencing two vibrations at the same time, such as a motor, a vehicle incorporating a motor, or another physical object. Some implementations can estimate the respiration movement in the radar baseband output signal. The estimated respiration signal can then be subtracted from radar signals in the time domain and, optionally, can be further enhanced using digital signal processing techniques, to produce an estimate of the heartbeat pulses.

Method and apparatus for non-contact fast vital sign acquisition based on radar signal

Various examples are provided for non-contact vital sign acquisition. Information can be provided regarding vibrations of a target using a radar signal such as, e.g., non-contact vital sign measurement. Examples include estimation of heart rate, change in heart rate, respiration rate, and/or change in respiration rate, for a human or other animal. Implementations can produce one or both rates of vibration and/or change in one or both rates of vibration for a target other than an animal or human experiencing two vibrations at the same time, such as a motor, a vehicle incorporating a motor, or another physical object. Some implementations can estimate the respiration movement in the radar baseband output signal. The estimated respiration signal can then be subtracted from radar signals in the time domain and, optionally, can be further enhanced using digital signal processing techniques, to produce an estimate of the heartbeat pulses.

Systems and methods for providing proximity awareness to pleural boundaries, vascular structures, and other critical intra-thoracic structures during electromagnetic navigation bronchoscopy
11622815 · 2023-04-11 · ·

Disclosed are systems, devices and methods for providing proximity awareness to an anatomical feature while navigating inside a patient's chest, an exemplary method including receiving image data of the patient's chest, generating a three-dimensional (3D) model of the patient's chest based on the received image data, determining a location of the anatomical feature based on the received image data and the generated 3D model, tracking a position of an electromagnetic sensor included in a tool, iteratively determining a position of the tool inside the patient's chest based on the tracked position of the electromagnetic sensor, and indicating a proximity of the tool relative to the anatomical feature, based on the determined position of the tool inside the patient's chest.

Wearable respiratory energy harvester

An energy harvesting device includes a housing (2), a moveable device (12) disposed within the housing and including a first surface including a first material (15) and a second surface including a second material (17), wherein the moveable device is operable to move to bring the first and second surfaces together and apart to cause contact and separation between the first and second materials, a first strap (4) attached to the housing, a second strap (6) coupled to the moveable device, wherein movement of the second strap causes operation of the moveable device, and electronic circuitry (20) structured to harvest energy from the electrical charge generated by the contact between the first and second materials.

Respiration monitor

A system for respiration monitoring includes a garment, which is configured to be fitted snugly around a body of a human subject, and which includes, on at least a portion of the garment that fits around a thorax of the subject, a pattern of light and dark pigments having a high contrast at a near infrared wavelength. A camera head is configured to be mounted in proximity to a bed in which the subject is to be placed, and includes an image sensor and an infrared illumination source, which is configured to illuminate the bed with radiation at the near infrared wavelength, and is configured to transmit a video stream of images of the subject in the bed captured by the image sensor to a processor, which analyzes movement of the pattern in the images in order to detect a respiratory motion of the thorax.