Various methods and systems are provided for analyzing an electrocardiogram (ECG) in real-time using machine learning to identify heartbeats, calculate a cycle length for each heartbeat, and display the cycle length for each heartbeat at a user interface. Waveform morphology of ECG data is continuously learned to identify recurrent signals and generate templates based on recurrent signals, to which ECG data is compared to identify and display heartbeats. Generated templates are continuously updated to reflect changing waveform morphologies.

A medical diagnostic device includes a wirelessly transmitted time data receiver and processor. Associated devices, methods and functionality are also described.

Systems and methods are disclosed for identifying anatomically relevant blood flow characteristics in a patient. One method includes: receiving, in an electronic storage medium, a patient-specific representation of at least a portion of vasculature of the patient having a lesion at one or more points; receiving values for one or more metrics of interest associated with one or more locations in the vasculature of the patient; receiving one or more observed lumen measurements of the vasculature of the patient; determining the location of a diseased region in the vasculature of the patient using the received values for the one or more metrics of interest, wherein the determination of the location includes predicting or receiving one or more healthy lumen measurements of the vasculature of the patient; determining the extent of the diseased region; and generating a visualization of at least the diseased region.

Methods for generating multiple orthodontic treatment options for a digital 3D model of teeth in malocclusion. The method generates a plurality of different orthodontic treatment plans for the teeth and displays in a user interface the digital 3D model of teeth in malocclusion with a visual indication of each of the plurality of different orthodontic treatment plans. The visual indication of the treatment plans can be overlaid on the digital 3D model of teeth in malocclusion and possibly include aligners, brackets, or a combination of aligners and brackets. A doctor, technician, or other user can then select one of the treatment plans for a particular patient.

A system for achieving optimal sensor placement and enhanced signal quality for monitoring maternal and fetal activities is disclosed. The system includes a monitoring device and a computing unit. The monitoring device is configured for monitoring maternal and fetal activities and providing guidance to the user via the computing unit upon detecting a feature of interest. The monitoring device includes a plurality of sensors, a data acquisition and transmission unit, one or more reference electrodes, and a ground electrode. Based on personal data acquired using the computing unit, the system utilizes a statistical or machine learning model which incorporates one or more subsets of the personal data to determine the optimal sensor placement close to the fetal heart position. Following sensor placement, the monitoring device performs a signal quality assessment and selects the optimal sensors to ensure reliable information on maternal and fetal activities is obtained.

The present disclosure relates to methods, apparatuses, and systems for generating an arteriosclerosis detection interface. One example method includes obtaining a type of an arteriosclerosis detector in use, generating a detection interface and determining an artery detection position corresponding to the type of the arteriosclerosis detector, and displaying the artery detection position on the detection interface.

An intravascular blood flow sensing system is provided. The system includes an intravascular catheter or guidewire with a flow sensor that obtains flow data of blood flow within a blood vessel. The system includes a processor circuit that communicates with the intravascular catheter or guidewire. The processor circuit receives the flow data from the intravascular catheter or guidewire, determine a plurality of values based on the flow data, and outputs a plot of the plurality of values to a display. The plot includes peak associated with coronary reactivity testing (CRT). The processor circuit can also automatically change between a louder volume and a softer volume for audio output of the flow data. The processor circuit can additional communicate with a device other than the flow sensor (e.g., ECG, pressure sensor, etc.), and graphical representations of the flow data and the data received from the other device can be independent scaled.

Transducer-based systems can be configured to display a graphical representation of a transducer-based device, the graphical representation including graphical elements corresponding to transducers of the transducer-based device, and also including between graphical elements respectively associated with a set of the transducers and respectively associated with a region of space between the transducers of the transducer-based device. Selection of graphical elements and/or between graphical elements can cause activation of the set of transducers associated with the selected elements. Selection of a plurality of graphical elements and/or between graphical elements can cause visual display of a corresponding activation path in the graphical representation. Visual characteristics of graphical elements and between graphical elements can change based on an activation-status of the corresponding transducers. Activation requests for a set of transducers can be denied if it is determined that a transducer in the set of transducers is unacceptable for activation.

Intravascular devices, systems, and methods are disclosed. In some embodiments, a medical imaging system for imaging vasculature of a patient is provided. The imaging system includes a console that has one or more processors with a medical imaging system interface running thereon, an acquisition card in communication with the one or more processors and in communication with a patient interface module (PIM), and an intravascular imaging component in communication with the PIM and disposed on a distal end of a flexible elongate member. The medical imaging system interface provides a plurality of settings groups for selection by a user, each of the settings groups having pre-acquisition parameters and post-acquisition parameters that are optimal for imaging a desired viewing target within the vasculature. Associated methods and computer-readable media are provided.

A smart mirror can show live or recorded streaming video of an instructor performing a workout in a package that is attractive and unobtrusive enough to hang in a living room. The smart mirror includes a mirror surface with a fully reflecting section and a partially reflecting section. A display behind the partially reflecting section shows the video when the smart mirror is on and is almost invisible when the smart mirror is off. The smart mirror also has a speaker, a microphone, and a camera to enable a user to view the video content and interact with the instructor. The smart mirror may connect to the user's smart phone, a peripheral device (e.g., a Bluetooth speaker) to augment user experience, a biometric sensor to provide biometric data to assess user performance, and/or a network router to connect the smart mirror to a content provider, an instructor, and/or other users.