Abstract: A system obtains a maternal electrocardiogram (ECG) signal that represents an ECG of a pregnant mother during a first time interval. The system further obtains a mixed maternal-fetal ECG signal that represents a combined ECG of the mother and her fetus during the first time interval; processes the maternal ECG signal and the mixed maternal-fetal ECG signal to generate a fetal ECG signal that represents the ECG of the fetus during the time interval, the fetal ECG signal substantially excluding the maternal ECG signal; and provides an output based on the fetal ECG signal.

Abstract: A system to deliver therapeutic energy to a patient, the system including a storage capacitor configured to store and release the therapeutic energy, a boost converter circuit coupled to the storage capacitor, and a current flow control circuit coupled to the boost converter circuit and including a plurality of control circuits configured to control a current output from the current flow control circuit in a therapeutic biphasic voltage waveform upon release of the therapeutic energy from the storage capacitor, wherein the therapeutic biphasic voltage waveform includes a ramped increase in voltage from approximately zero volts to a desired therapeutic voltage level over a time interval greater than 1 millisecond and less than a time associated with a phase switch.

Abstract: Systems, methods, and computer-readable mediums for modifying, by an artificial intelligence engine, a treatment plan for optimizing patient outcome and pain levels during treatment sessions. The system includes, in one implementation, a treatment apparatus, a patient interface, and a computing device. The treatment apparatus is configured to be manipulated by a patient while the patient performs the treatment sessions. The computing device is configured to receive the treatment plan for the patient and treatment data pertaining to the patient. The computing device is also configured to receive patient input from the patient interface correlating with the pain levels of the patient. The computing device is further configured to use the treatment plan, the treatment data, and the patient input to generate at least one threshold. Responsive to an occurrence of exceeding the at least one threshold, the computing device is configured to modify the treatment plan.

Abstract: Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients or to a set of rules developed from the database. A bundle branches (BB) to J-Point (BB-J) interval is identified from the plurality of subwaveforms and discontinuity points based on the comparison. The ECG waveform with the BB-J interval annotated is displayed.

Abstract: Blood pump assemblies and methods of manufacturing and operating blood pump assemblies are provided. The blood pump assembly includes a pump and an impeller blade rotatably coupled to the pump. The blood pump assembly also includes a pump housing component sized for passage through a body lumen and coupled to the pump. The pump housing component includes a peripheral wall extending about a rotation axis of the impeller blade. The peripheral wall includes an inner peripheral wall surface and an outer peripheral wall surface. The peripheral wall also includes one or more blood exhaust apertures. Each blood exhaust aperture in the one or more blood exhaust apertures is defined by an inner aperture edge and an outer aperture edge. Each inner aperture edge is chamfered between the inner peripheral wall surface and the outer peripheral wall surface.

Abstract: Embodiments of a wearable monitoring device system can include one or more dry ECG electrodes and a processor that can be configured with one or more algorithms for detecting atrial fibrillation (AF) from sensed ECG signals sensed by the one or more dry ECG electrodes, and optionally other signals. In some embodiments the algorithms include one or more AF detection algorithms and optionally a noise detection algorithm. In some embodiments the wearable monitoring device or a remote system that receives data from the wearable medical device may calculate and/or characterize AF burden from ECG signals sensed by the one or more dry ECG electrodes.

Abstract: An electronic device, according to various example embodiments of the disclosure, may comprise: a display; a processor operatively connected to the display; a cover facing the display and comprising a light transmitting material; a flexible printed circuit board having a first side facing the cover, and a second side corresponding to the opposite side of the first side; a wireless charging coil disposed to surround the flexible printed circuit board; a first bio-signal sensing unit comprising bio-signal sensing circuitry including a light-emitting unit including light-emitting circuitry and a light-receiving unit including light-receiving circuitry mounted on the first side of the flexible printed circuit board; a second bio-signal sensing unit including an internal electrode formed inside the cover, which is a portion facing the flexible printed circuit board, and an external electrode electrically connected to the internal electrode and formed outside the cover; a contact having one end mounted on the first

Abstract: A cardiac pacing system having a pulse generator for generating therapeutic electric pulses, a lead electrically coupled with the pulse generator having an electrode, a first sensor configured to monitor a physiological characteristic of a patient, a second sensor configured to monitor a second physiological characteristic of a patient and a controller. The controller can determine a pacing vector based on variables including a signal received from the second sensor, and cause the pulse generator to deliver the therapeutic electrical pulses according to the determined pacing vector. The controller can also modify pacing characteristics based on variables including a signal received from the second sensor.

Abstract: Systems including an elliptical machine and a processing device. The processing device may be configured to receive, before or while a user operates the elliptical machine, one or more messages pertaining to the user or a use of the elliptical machine by the user. The processing device may be also configured to determine whether the one or more messages were received by the processing device. In response to determining that the one or more messages were not received by the processing device, the processing device may be configured to determine, via one or more machine learning models, one or more actions to perform. The one or more actions may include at least one of initiating a telecommunications transmission, stopping operation of the elliptical machine, and modifying one or more parameters associated with the operation of the elliptical machine.

Abstract: A computer-implemented system for a remote examination is disclosed. The computer-implemented system includes a treatment device, a master console, a user interface, and a control system. The treatment device comprises one or more slave sensors and a slave pressure system, the treatment device configured to be manipulated while a patient performs a treatment plan. The master console comprises a master device. The user interface comprises an output device configured to present telemedicine information associated with a telemedicine session. The control system comprises one or more processing devices operatively coupled to the master console and the treatment device.

Abstract: A computer-implemented system for a remote examination is disclosed. The computer-implemented system includes a treatment device, a master console, a user interface, and a control system. The treatment device comprises one or more slave sensors and a slave pressure system, the treatment device configured to be manipulated while a patient performs a treatment plan. The master console comprises a master device. The user interface comprises an output device configured to present telemedicine information associated with a telemedicine session. The control system comprises one or more processing devices operatively coupled to the master console and the treatment device.

Abstract: A computer-implemented system includes a treatment device configured to be manipulated by an individual while the individual performs a treatment plan, a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session, and a computing device configured to: identify two or more types of healthcare providers to participate during the telemedicine session in the treatment plan associated with the individual; identify at least one healthcare provider associated with each of the two or more types of the healthcare providers; identify, based on schedules of the identified at least one healthcare provider, one or more available time slots for each respective healthcare provider; identify a first time slot of the available time slots; generate, based on the first time slot, a schedule event; and communicate the schedule event to each of the identified healthcare providers.

Abstract: Systems and methods for selectable lateral spinal cord stimulation are discussed. An exemplary neuromodulation system includes a programming device and an electrostimulator. The programming device can receive information about placement of at least one lead in a vicinity of a lateral portion of a spinal cord, identify one or more lateral spinal neural targets based on the information about placement of the at least one lead, and receive a user selection from selectable stimulation modes for stimulating the identified one or more lateral spinal neural targets. The electrostimulator can apply electrostimulation energy to the identified one or more lateral spinal neural targets via the at least one lead in accordance with the user selection from the selectable stimulation modes.

Abstract: A computer-implemented system comprising a treatment apparatus, a patient interface, and a processing device is disclosed. The processing device is configured to receive treatment data pertaining to the user during the telemedicine session, wherein the treatment data comprises one or more characteristics of the user; determine, via one or more trained machine learning models, at least one respective measure of benefit one or more exercise regimens provide the user, wherein the determining the respective measure of benefit is based on the treatment data; determine, via the one or more trained machine learning models, one or more probabilities of the user complying with the one or more exercise regimens; and transmit the treatment plan to a computing device, wherein the treatment plan is generated based on the one or more probabilities and the respective measure of benefit the one or more exercise regimens provide the user.

Abstract: The present disclosure relates to branched proximal connectors for high density neural interfaces and methods of microfabricating the branched proximal connectors. Particularly, aspects of the present disclosure are directed to a branched connector that includes a main body having a base portion of a supporting structure and a plurality of conductive traces formed on the base portion, and a plurality of plugs extending from the main body. Each plug of the plurality of plugs include an end portion of the supporting structure comprised of the one or more layers of dielectric material, and a subset of conductive traces from the plurality of conductive traces. Each trace from the subset of conductive traces terminates at a bond pad exposed on a surface of the end portion of the supporting structure.

Abstract: In one embodiment, a computer-implemented system includes treatment apparatuses configured to be manipulated by patients while performing an exercise session, patient interfaces associated with the plurality of patients, and a server computing device configured to receive first characteristics pertaining to the patients, and initiate a virtual shared session on the patient interfaces associated with the patients. The virtual shared session includes at least a set of multimedia feeds, and each multimedia feed of the set of multimedia feeds is associated with one or more of the patients. During the virtual shared session, the server computing device may present a first layout including the set of multimedia feeds, the first characteristics, or some combination thereof.

Abstract: An instrument drive unit includes a housing defining a central longitudinal axis; an inertial measurement unit disposed within the housing and configured to determine a pose of the instrument drive unit; and a controller disposed within the housing, the controller configured to receive the pose of the instrument drive unit from the inertial measurement unit and to generate a corrected output signal which compensates for the pose of the instrument drive unit.

Abstract: Provided herein are systems and methods for calculating patient information. The method includes determining a transfer matrix, recording electric potentials via a first set of recording electrodes located at a first set of recording locations to create a first set of recorded signals, and calculating patient information for a set of target locations by applying the transfer matrix to the first set of recorded signals. The transfer matrix is a characterization of electrical properties of tissue between the first set of recording locations and the set of target locations.

Abstract: A computer-implemented system may include a treatment device configured to be manipulated by a user while the user is performing a treatment plan, a patient interface. and a computing device configured to: receive treatment data pertaining to the user who uses the treatment device to perform the treatment plan; identify at least one enhanced component using the treatment data; generate an enhanced environment using the at least one enhanced component and the treatment plan; output at least one aspect of the enhanced environment to at least one of the patient interface and another interface; receive subsequent treatment data pertaining to the user; and selectively modify at least one of the enhanced environment and at least one of the at least one aspect of the treatment plan and any other aspect of the treatment plan using the subsequent treatment data.

Abstract: Provided are composite array electrode, preparation method thereof and use thereof. The composite array electrode comprises a microelectrode array substrate, and a modification layer formed on a surface of a microelectrode of the microelectrode array substrate, wherein the modification layer comprises a plurality of electrically conductive layers arranged at intervals on the surface of the microelectrode, an insulating layer arranged on the surface of the microelectrode except the electrically conductive layers, and wherein material for the electrically conductive layers comprises one or more of nano platinum, nano iridium, conductive polymer and carbon nanotubes. The composite array electrode effectively eliminates the influence of edge effect such that the electric field distributes uniformly on the microelectrode surface of the composite array electrode, significantly improving electrochemical performance and detection capability of the electrode.