A61B5/4869

Method and device for detecting elasticity of viscous elastic medium

A method and a device for nondestructively detecting an elasticity of a viscoelastic medium are provided. The method includes: detecting a pressure applied to the viscoelastic medium by an ultrasonic transducer probe; in response to the pressure satisfying a predetermined condition, triggering detecting the elasticity of the viscoelastic medium; driving the ultrasonic transducer probe with a low-frequency vibration by a vibrator so as to produce an elastic wave in the viscoelastic medium; producing an ultrasonic wave by the ultrasonic transducer probe, and transmitting the ultrasonic wave to the viscoelastic medium; collecting an ultrasonic echo; calculating an elastic parameter of the viscoelastic medium according to the collected ultrasonic echo.

Surgical instrument with detection sensors

Aspects of the present disclosure are presented for a surgical instrument having one or more sensors at or a near an end effector and configured to aide in the detection of tissues and other materials and structures at a surgical site. The detections may then be used to aide in the placement of the end effector and to confirm which objects to operate on, or alternatively, to avoid. Examples of sensors include laser sensors used to employ Doppler shift principles to detect movement of objects at the surgical site, such as blood cells; resistance sensors to detect the presence of metal; monochromatic light sources that allow for different levels of absorption from different types of substances present at the surgical site, and near infrared spectrometers with small form factors.

Apparatus and method for measuring bioelectric impedance using three-electrode sensor

An apparatus and method for measuring a bioelectric impedance is provided. The apparatus may measure the bioelectric impedance using three electrodes. The apparatus may measure the bioelectric impedance by compensating for a change of a contact impedance.

SURGICAL FORCEPS CAPABLE OF ADJUSTING SEALING PRESSURE BASED ON VESSEL SIZE
20190282296 · 2019-09-19 ·

A surgical forceps includes a housing having one or more shafts attached thereto and an end effector assembly disposed at a distal end thereof. The end effector assembly includes first and second jaw members disposed in opposing relation relative to one another. At least one jaw member is moveable from an open position to a closed position for grasping tissue therebetween. The jaw members include at least one sensing component that determines an output of one or both of cross-sectional diameter and composition of tissue disposed between the jaw members. A processing component is configured to receive the output and determine a seal pressure for adequately sealing tissue disposed between the jaw members based upon the output. A regulating component regulates the movement of the jaw members between the first and second positions such that the determined seal pressure is applied to tissue disposed therebetween.

Tuned strength chronic obstructive pulmonary disease treatment
10390838 · 2019-08-27 · ·

The present invention generally provides improved medical devices, systems, and methods, particularly for treating one or both lungs of a patient with an implant, such as a coil, having a strength tuned to a patient's tissue treatment region. More particularly, embodiments of the present invention include a method for treating a lung of a patient with chronic obstructive pulmonary disease. The method comprises determining a regional tissue density of at least a portion of lung tissue of the patient and selecting between first and second coils based on the determined regional tissue density of the portion of lung tissue. In particular, the first coil has a first austenite final tuning and second coil has a second austenite final tuning different than the first tuning. Determining may comprise imaging at least the portion of lung tissue of the patient so as to identify a localized lung tissue density. Selecting may comprise matching the determined tissue density of the treatment region to a tuned strength of the first or second coil.

SIGNAL PROCESSING DEVICE OF ANALYZING BIO-SIGNAL AND BIO-SIGNAL ANALYZING APPARATUS USING THE SAME
20190257759 · 2019-08-22 ·

A signal processing device that processes a bio-signal includes a lock-in amplifier chip configured to output a frequency-modulated modulation signal and enable one or more light sources to be driven in response to the modulation signal, and a multiplexer configured to receive and multiplex light sensing signals output from the light sources and then measured by multiple light measurement units, and the lock-in amplifier chip sequentially demodulates the multiple light sensing signals transmitted through the multiplexer.

Quantification And Staging Of Body-Wide Tissue Composition And Of Abnormal States On Medical Images Via Automatic Anatomy Recognition

Quantification of body composition plays an important role in many clinical and research applications. Radiologic imaging techniques such as Dual-energy X-ray absorptiometry, magnetic resonance imaging (MRI), and computed tomography (CT) imaging make accurate quantification of the body composition possible. This disclosure presents an automated, efficient, accurate, and practical body composition quantification method for low dose CT images; method for quantification of disease from images; and methods for implementing virtual landmarks.

SYSTEMS AND METHODS FOR NON-INVASIVE FAT COMPOSITION MEASUREMENT IN AN ORGAN
20240164712 · 2024-05-23 · ·

Systems and methods are provided for determine the fat composition in an organ of interest using a non-invasive health measurement system. The non-invasive health measurement system may include an open magnet NMR apparatus. The NMR apparatus may measure NMR signals in a sensitive volume of a patient. The sensitive volume may coincide with an organ of interest, such as a liver. Systems and methods disclosed herein may provide for separation of the water contribution and the fat contribution to the measured NMR signal. Diffusion based separation, T.sub.2 based separation, and T.sub.1 based separation may each serve as different methods for separating the water and fat contributions to the signal. Separating the water and fat contributions to the single may allow for computation of a proton density fat fraction which may reflect the fat composition of the organ of interest.

DEVICES, SYSTEMS AND METHODS FOR TISSUE ANALYSIS, LOCATION DETERMINATION AND THERAPY THEREOF USING OPTICAL RADIATION

A method of delivering a substance to a target location of a subject using an insertion apparatus having a base structure with at least one lumen extending along a length thereof, a cladding layer circumferentially surrounding the base structure and an optically-transmissive coating circumferentially surrounding an exterior of the base layer or an exterior of the cladding layer. The method includes inserting the insertion apparatus into the subject to access the target location, transmitting to tissue adjacent the insertion apparatus, a first optical radiation using the optically-transmissive coating or the cladding layer, receiving, from the tissue, at a processor, data characterizing a second optical radiation via the other of the optically-transmissive coating or the cladding layer based on the first optical radiation and determining whether a tip of the base structure is at the target location, and, if so, releasing a substance into or near the target location.

Predicting Body Composition from User Images Using Deep Learning Networks
20240148321 · 2024-05-09 ·

Systems and methods for generating a prediction of a body composition of a user using an image capturing device are disclosed. The systems and methods can be used to predict body compositions such as body fat percentage, water content percentage, muscle mass, bone mass, and so on, from a single user image. The methods include the steps of receiving one or more user images and one or more user parameters, generating one or more key points based on the one or more user images, and generating a prediction of the body composition of the user based on the one or more key points and the one or more user parameters, using a body composition deep learning network (DLN). In one embodiment, the body composition DLN comprises a face image DLN, a body feature DLN, and an output DLN.