When a basic mode is selected, a basic processing block in an ultrasound diagnostic apparatus operates in real time, to generate a first display image array, and the first display image array is displayed on a display. When an extended mode is selected, necessary information is transferred from the ultrasound diagnostic apparatus to an external information processing apparatus, and an extended processing block in the external information processing apparatus operates in real time, to generate a second display image array. The second display image array is displayed on the display.

Cardiac Output (CO) has traditionally been difficult, dangerous, and expensive to obtain. Surrogate measures such as pulse rate and blood pressure have therefore been used to permit an estimate of CO. MEMS technology, evolutionary computation, and time-frequency signal analysis techniques provide a technology to non-invasively estimate CO, based on precordial (chest wall) motions. The technology detects a ventricular contraction time point, and stroke volume, from chest wall motion measurements. As CO is the product of heart rate and stroke volume, these algorithms permit continuous, beat to beat CO assessment. Nontraditional Wavelet analysis can be used to extract features from chest acceleration. A learning tool is preferable to define the packets which best correlate to contraction time and stroke volume.

Aspects of the technology described herein relate to instructing an operator to move an ultrasound device along a predetermined path relative to an anatomical area in order to collect first ultrasound data and second ultrasound data, the first ultrasound data capable of being transformed into an ultrasound image of a target anatomical view, and the second ultrasound data not capable of being transformed into the ultrasound image of the target anatomical view.

A method and ultrasound imaging system for performing an ultrasound examination. The method and system includes entering a workflow and displaying a plurality of graphical icons positioned on a graphical model. The method and system includes selecting a first anatomical zone, acquiring a first image, and saving and associating the first image with the first anatomical zone. The method and system includes saving and associating a first clinical finding with the first anatomical zone. The method and system includes selecting a second anatomical zone, acquiring a second image, and saving and associating the second image with the second anatomical zone. The method and system includes saving and associating a second clinical finding with the second anatomical zone. The method and system include displaying an examination overview including the first image, the first clinical finding, the second image, and the second clinical finding.

During acquisition of an ultrasound image feed, ultrasound control data frames are acquired that may be interspersed amongst the ultrasound data frames. The control data frames may use consistent reference scan parameters, irrespective of the scanner settings, and may not need to be converted to image frames. The control data frames can be passed to an artificial intelligence model, which predicts the suitable settings for scanning the anatomy that is being scanned. The artificial intelligence model can be trained with a dataset containing different classes of ultrasound control data frames for different settings, where substantially all the ultrasound control data frames in the dataset are consistently acquired using the reference scan parameters.

A display frame data array is transferred from an ultrasound diagnostic apparatus to a diagnosis assisting server. The display frame data array is analyzed in the diagnosis assisting server, and a diagnosis assisting data array is generated. The diagnosis assisting data array is transferred from the diagnosis assisting server to the ultrasound diagnostic apparatus. A display processing unit combines the display frame data array and the diagnosis assisting data array while synchronizing the data arrays.

A biosignal measuring apparatus for converting and transmitting biosignals, includes a sensing unit configured to sense a user's electrocardiogram data, a communication unit configured to establish a wireless channel with a data receiving device, and a processing unit configured to determine real-time transmission characteristics based on communication quality information regarding the wireless channel, to determine a data resolution corresponding to the real-time transmission characteristics, to convert the electrocardiogram data according to the data resolution, and to transmit the electrocardiogram data to the data receiving device.

A multi-media product is created from fetal ultrasound images, during scanning of a fetus using an ultrasound scanner, and employs a specifically trained artificial intelligence (AI) model to execute on a computing device communicably connected to an ultrasound scanner, wherein the AI model is trained so that when the AI model is deployed, the computing device identifies and selects one or more fetal anatomical features, in whole or part, imaged in fetal ultrasound imaging data generated during ultrasound scanning as part of a clinical exam of the fetus, wherein the selected one or more fetal anatomical features are visually appealing for entertainment and keepsake purposes and are not part of a clinical assessment of the health or growth of the fetus and wherein after acquiring a new fetal ultrasound image during ultrasound scanning, the AI model selects the one or more fetal anatomical features, in whole or part, which are visually appealing for entertainment and keepsake purposes and are not part of a clinical assessment of the health or growth of the fetus and those selected non-clinical images are then used to generate the entertainment focused multi-media product.

Systems and methods are provided for semi-automated, portable, ultrasound guided cannulation. The systems and methods provide for image analysis to provide for segmentation of vessels of interest from image data. The image analysis provides for guidance for insertion of a cannulation system into a subject which may be accomplished by a non-expert based upon the guidance provided. The guidance may include an indicator or a mechanical guide to guide a user for inserting the vascular cannulation system into a subject to penetrate the vessel of interest.

Systems and methods are disclosed for remotely controlling a main processing console of an ultrasound system. In various embodiments, an ultrasound remote controller can be used to remotely control a main processing console of an ultrasound system. The ultrasound remote controller can include a user interface controller configured to provide one or more ultrasound control functions to a user remote from the main processing console. The control functions can be used to remotely control operation of the main console. Further, the user interface controller can be configured to receive input for the one or more ultrasound control functions from the user. The ultrasound remote controller can include a communication interface configured to transmit operational instructions to the main processing console for remotely controlling the operation of the main processing console through the ultrasound remote controller based on the user input for the one or more ultrasound control functions.