Systems, interfaces, and methods are described herein related to the evaluation of a patient's cardiac conduction system and evaluation of cardiac conduction system pacing therapy being delivered to the patient's cardiac conduction system. Evaluation of the patient's cardiac conduction system may utilize a plurality of breakthrough maps to determine where a cardiac conduction system block may be located. Evaluation of cardiac conduction system pacing therapy may utilize various electrical heterogeneity information monitored before and during delivery of cardiac conduction system pacing therapy.

Systems and methods are provided for analyzing electrocardiogram (ECG) data of a patient using a substantial amount of ECG data. The systems receive ECG data from a sensing device positioned on a patient such as one or more ECG leads. The system may include an application that communicates with an ECG platform running on a server(s) that processes and analyzes the ECG data, e.g., using neural networks for delineation of the cardiac signal and classification of various abnormalities, conditions and/or descriptors. The ECG platform may further process and analyze the ECG data using neural networks and/or algorithms for embedding and grouping. The processed ECG data is used to generate a graphic user interface that is communicated from the server(s) to a computer for display in a user-friendly and interactive manner with enhanced accuracy.

An evaluation test apparatus is configured to evaluate or test measurement precision of a biological information measurement device configured to measure biological information. The evaluation test apparatus includes: a function generator configured to generate a plurality of input waveform signals by a predetermined operation; an indenter configured to pressure a piezoelectric element of the biological information measurement device; a vibration driver selected from a motor and a solenoid and configured to vibrate the indenter; and a control board configured to control the vibration driver. The control board includes an adder configured to combine the plurality of input waveform signals generated by the function generator. The vibration driver vibrates the indenter based on a composite waveform signal combined by the adder.

The present disclosure provides a device for measuring jugular venous pressure of a patient. The device comprises a body defining a longitudinal enclosure and having a window along a length of the longitudinal enclosure to allow light to exit the longitudinal enclosure, and a beam generator comprising an array of light emitters. The beam generator is configured to direct light out the window to generate a beam of light along a plane perpendicular to a longitudinal direction and at an adjustable position along the longitudinal direction. The device has an adjustment mechanism for adjusting the position of the beam of light relative to the body along the longitudinal direction, and a readout indicating the position of the beam of light along the longitudinal direction.

A medical device processor is configured to receive a first cardiac electrical signal sensed from a first sensing electrode vector, receive a second cardiac electrical signal sensed from a second sensing electrode vector different than the first sensing electrode vector, and construct a third cardiac electrical signal from the first cardiac electrical signal and the second cardiac electrical signal. In some examples, the system determines sensed cardiac events according to at least one setting of a cardiac event sensing threshold control parameter from at least the third cardiac electrical signal and may determine at least one acceptable setting of a sensing control parameter based on the determined sensed cardiac events. The processor may generate an output representative of the determined sensed cardiac events.

Embodiments of the present disclosure provide a mobile electrocardiogram (ECG) sensor comprising an electrode assembly comprising electrodes, wherein the electrode assembly senses heart-related signals when in contact with a body of a user, and produces electrical signals representing the sensed heart-related signals. The ECG sensor further comprises a processing device, operatively coupled to the electrode assembly, the processing device to provide the sensed heart-related signals to a machine learning module trained to predict a twelve-lead QT interval (QTc) value from the mobile ECG sensor comprising less than twelve leads. The ECG sensor also comprises a housing containing the electrode assembly and the processing device.

A device for reducing the health stress on a user is disclosed. The device has the following features: a) a sensor for detecting the posture of the user; b) a neural network that is trained for the following activities: i. categorizing the posture of the user in relation to categories of posture; ii. classifying the posture in relation to a degree of stress on the body of the user due to his posture; and c) an output unit for outputting feedback to the user in order to reduce the health stress.

The invention relates to a medical monitoring system controller (10) for controlling a medical monitoring system (1). The controller is configured to control the medical monitoring system such that the temporal resolution of storing measured medical parameters like blood pressure, heart rate et cetera in a storing unit (8) depends on the identification of a user like a physician or nurse, wherein the identification is preferentially an authentication of the user. In particular, the temporal resolution of storing measured medical parameters can be increased, if a user has been identified. It is therefore not required to store the medical parameter with a relatively high temporal resolution all the time, but this temporal resolution might generally be relatively low and increased, if a user has been identified. This allows for a significant reduction of the required storage capacity.

The invention relates to a method for setting up a controller of an orthopedic device with at least one motor drive, which is applied to a body part of the patient and connected to sensors that record control signals of the patient, said method including the following steps: outputting an optical, acoustic and/or tactile representation of an actuation of a limb as a request for the patient to carry out said actuation; detecting control signals that are produced by the patient as a voluntary reaction following the request, assigning the detected control signals to the implemented actuation and to a function in which the at least one motor drive is activated, deactivated or reversed in terms of its direction of rotation, and outputting the detected control signals and/or the function following the assignment to the respective function.

To provide a pain evaluation device, a pain evaluation method, and a non-transitory storage medium storing a pain evaluation program that can evaluate the degree of pain in each individual. A control unit includes: an electrocardiographic waveform acquisition unit configured to acquire electrocardiographic waveform data of a user; and a pain determination unit configured to determine, based on a comparison between first electrocardiographic waveform data obtained by the electrocardiographic waveform acquisition unit in a state where no physical load is applied to the body of the user and second electrocardiographic waveform data obtained by the electrocardiographic waveform acquisition unit in a state where a load is applied to the body of the user, a degree of pain sensed by the user in a state where the load is applied.