An example of a system for providing patient care guidance to a caregiver based on ultrasound detection of blood flow includes a defibrillator including an electrode assembly and an output device, a portable computing device communicatively coupled to the defibrillator and including an output device, a Doppler shift waveform evaluation engine disposed at the defibrillator and/or the portable computing device, and a wearable ultrasound blood flow sensor configured to couple to a patient and the defibrillator and/or the portable computing device and to generate data signals representing a Doppler shift waveform. The engine is configured to receive the data signals representing the waveform, generate caregiver instructions according to a cardiac arrest protocol, analyze the waveform based on the received data signals, identify heart-induced blood flow based on the waveform analysis, and generate and provide caregiver instructions according to a non-cardiac arrest protocol based on the identified heart-induced blood flow.

An intraluminal imaging device includes a flexible elongate member configured to be positioned within a body lumen of a patient. The flexible elongate member includes a plurality of coaxial cables. Each of the plurality of coaxial cables includes a conductive shield layer. The intraluminal imaging device also includes an ultrasound imaging assembly positioned at a distal portion of the flexible elongate member and in communication with the plurality of coaxial cables. The ultrasound imaging assembly includes a transducer array configured to obtain ultrasound data and a conductive pad. The conductive shield layer of each of the plurality of coaxial cables is mechanically and electrically coupled to the conductive pad. Associated devices, systems, and methods are also provided.

For intraluminal ultrasound probes, two long-thin arrays (e.g., 1D arrays) are provided in the intraluminal ultrasound probe for bi-plane imaging. The arrays are rotatable relative to each other so that during insertion the arrays align to be long and thin, allowing the shaft of the probe to be narrow. For bi-plane imaging after insertion, one array is rotated relative to the other array, defining two non-parallel imaging planes.

Systems and methods for cardiac pacing are provided, where a pacing lead is placed at or near the bundle of His. A method for pacing a heart of a patient comprises: introducing a sheath to vasculature of the patient; steering the sheath within a coronary sinus in the heart to lodge a distal end of the sheath to a target location proximal to the bundle of His above a septum separating a left ventricle and a right ventricle of the heart; advancing a pacing lead through a lumen of the sheath to the target location; coupling the pacing lead to cardiac tissue at the target location; removing the sheath; and electrically pacing the bundle of His using the pacing lead.

A three-dimensional geometric image of an anatomical region is generated from a plurality of two-dimensional echographic image slices of the region. The image slices are filtered using a reaction-diffusion partial differential equation model before being arranged into a voxel space. Each voxel is then assigned a voxel value to create a volumetric data set from which the volumetric image can be rendered. The image is rendered from far to near, relative to a preset viewing direction, by an alpha-blending process. The alpha value at any given voxel can be determined using the magnitude of the density gradient vector at that voxel. Similarly, the direction of the density gradient vector at a given voxel can be used as a surface normal vector for shading purposes at that voxel.

Electrical field-guided positioning of a second device within a body cavity, using electrical field mapping information generated from electrical field measurements by electrodes of a first device. The first device, in some embodiments, is a catheter electrode probe, and the second device is an internally implantable and/or operated medical device. An exposed, electrically conductive portion of the second device is optionally configured to be used as an electrical field measuring electrode. A rule is applied to measurements made by this electrode to estimate its position within a body cavity. The rule is generated, in some embodiments, using measurements made by the first device. In some embodiments, electrical measurements are used to guide implantation verification. In some embodiments, electrical measurements are used to guide navigation at and through a septal wall between body cavities.

A training platform, a method and a computer-readable medium for evaluating users in capturing images of an internal anatomical region for the analysis of organs. Automated machine learning models, trained on a dataset of labelled training images associated with different imaging device positions, are used. The one or more automated machine learning models are used to process an image resulting from a user positioning an imaging device at various imaging device positions relative to a training manikin, a human or an animal, to determine whether the generated image corresponds to a predefined view required for the analysis of the organ features shown therein. An output indicative of whether the generated image corresponds to the predefined view expected for organ analysis and measurements is provided.

An ultrasound imaging system computes real time physiological parameters from measurements of anatomical features in ultrasound image data using a neural network to identify the location of the anatomical features. In one embodiment, cardiac parameters are computed from endocardial wall tracings in M-mode ultrasound image data that are identified by the neural network.

The ultrasonic diagnostic apparatus according to the present embodiment includes processing circuitry. The processing circuitry is configured to: acquire multiple position data associated with respective multiple two-dimensional image data of ultrasonic related to multiple cross sections; smooth the acquired multiple position data; and arrange the multiple two-dimensional image data in accordance with the smoothed multiple position data to generate volume data.

Methods, systems, and coaptation measurement devices as described herein include an elongate sensor body at the end of a proximal connecting member, and a plurality of sensors in an array across a face of the sensor body, wherein each sensor of the plurality of sensors is configured to detect if a portion of a heart valve is in contact with the sensor.