Abstract: A sleeve for a medical lead includes a tubular body having a first open end and a second open end, a tubular wall extending between the first and second ends and defining a hollow center, and a longitudinal axis extending through the hollow center. A first pocket is disposed in the tubular wall and having a curved transverse cross section and a first access opening at the first open end of the tubular body. A medical lead system includes a medical lead and the sleeve configured to slide over the medical lead and be adjacent to the electrode region.

Abstract: A set of training electrocardiograms (ECGs) for each of a plurality of subjects is processed using a machine learning model to generate an output for each training ECG of each of the plurality of subjects. Training ECGs for each subject are labeled with an identity of the subject. A machine learning model is trained by comparing the output generated for each training ECG to a corresponding label of the training ECG to generate an identity model to identify ECGs of a first subject of the plurality of subjects. A first ECG is received from an ECG sensor and input to the identity model, which generates an output indicating whether the first ECG corresponds to the first subject. In response to the output indicating that the first ECG does not correspond to the first subject, a condition that the first subject has or may develop is determined based on the output.

Abstract: An electrocardiograph (ECG) signal detection and positioning method based on weakly supervised learning is provided. A deep learning model mainly includes a multi-scale feature extraction module, a self-attention encoding module, and a classification and positioning module. An extracted original ECG signal is denoised and segmented to obtain a fixed-length pure ECG signal segment. In the convolutionally-connected multi-scale feature extraction module, a channel local attention (CLA) layer is introduced, and a PReLU activation function is used to achieve a better local information extraction capability. The self-attention encoding module is introduced to establish an association between a local feature and a global feature. The classification and positioning module is introduced to output a general location of an abnormal signal. A fusion module enables the model to map a local predicted value onto a global predicted value, and model parameters are trained on a weakly annotated dataset.

Abstract: Methods for detecting tubing in a pump assembly of a pump system are provided. For example, a method comprises connecting a power supply to each of a plurality of pump motors of the pump system. Each pump motor of the plurality of pump motors has a power supply cable configured to connect to the power supply and drives a pump head of a plurality of pump heads of the pump system. The method also comprises sensing a motor current from each of the power supply cables, determining whether tubing is loaded in each pump head, and, if tubing is not loaded in a pump head, then disconnecting from the power supply the power supply cable of the pump motor associated with the pump head in which tubing is not loaded. Systems for detecting the presence of tubing within a pump head of a plurality of pump heads also are provided.

Abstract: A system for processing medical claims, comprising a processor configured to receive device-generated information from a medical device. The device-generated information includes performance information. The processor generates a first biometric signature, and using the device-generated information, generates a second biometric signature, wherein the second biometric signature uses the performance information. Using the first and second biometric signatures, the processor generates a signature comparison. Using the signature comparison, the processor generates a signature indicator and transmits the signature indicator.

Abstract: A method for treating a treatment site (106) within or adjacent to a heart valve (108) within a body of a patient includes the steps of generating energy with an energy source (124); receiving energy from the energy source (124) with an energy guide (122A); positioning a balloon assembly (104) adjacent to the treatment site (106), the balloon assembly (104) including an outer balloon (104B) and an inner balloon (104A) that is positioned within and at least partially spaced-apart from the outer balloon (104B) to define an interstitial space (146A) therebetween that is configured to retain a balloon fluid (132); and positioning a portion of the energy guide (122A) that receives the energy from the energy source (124) within the interstitial space (146A) between the balloons (104A, 104B) so that a plasma-induced bubble (134) is formed in the balloon fluid (132) within the interstitial space (146A).

Abstract: An electrosurgical apparatus for treating fluid-filled biological growths by replacing the fluid within the growth with a substance that assists in delivering treatment energy. The treatment energy may be microwave energy or may be thermal energy derived from microwave energy. The apparatus comprises an instrument having a radiating tip portion, and a fluid delivery mechanism for transporting fluid to and from a treatment zone located around the radiating tip portion. The fluid delivery mechanism comprises a rigid insertion element arranged to extend into the treatment zone, whereby fluid can be aspirated from the treatment zone, and a substance injected into the treatment zone to replace the aspirated fluid. The injected substance has dielectric properties selected to facilitate uniform delivery of treatment energy to biological tissue in the treatment zone.

Abstract: In various examples, a method of establishing a communication session between an external device and an implantable medical device is described. The method includes generating at the external device a first private key and a first public key. A start session order is sent over a long-range communication channel. Evidence of physical proximity is sent from the external device to the implantable medical device over a short-range communication channel. A second private key and a second public key are generated at the implantable medical device. A first shared key is generated by the implantable medical device using the first public key and the second private key. A second shared key is generated by the external device using the second public key and the first private key. The first and second shared keys are used to encrypt and decrypt one or more messages between the external device and the implantable medical device.

Abstract: A heart beat detection device comprises at least one optical reflection sensor to be positioned on the skin of a person. The sensor unit is provided with a light emitter and a corresponding light receiver which converts the light reflected by the skin into an electric signal and comprises electrically adjustable optical filters connected to the emitter, to the receiver or to both of them in order to select, upon operation, a desired light wavelength and perform processing of the signals thus obtained in order to reinforce the heart beat signal. A system with this device and a detection method are also described.

Abstract: Methods, system, and computer-implementable algorithms are disclosed for determining time-varying pulses for a patient having an implantable stimulator device (ISD). At least one time-invariant tonic stimulation pulse parameter (e.g., amplitude, pulse width, or frequency) is modified by a modulation function to produce time-varying pulses (TVPs), and one or more measurements are taken to determine the effectiveness of the TVP. The measurements may be objective and taken from the patient, and/or subjective and determined based on feedback from the patient. In one example, objective measurements may comprise one or more features determined from an electrospinogram (ESG) signal detected by the ISD, which may include evoked compound action potentials The one or more measurements are used to determine a score for the TVP, which is useful in selecting a best TVP for use with the patient, or for adjusting the modulation function applied to the tonic stimulation parameters.

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: 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: 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 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.