A cardiac medical system, such as an implantable cardioverter defibrillator (ICD) system, receives a cardiac electrical signal by and senses cardiac events when the signal crosses an R-wave sensing threshold. The system determines at least one sensed event parameter from the cardiac electrical signal for consecutive cardiac events sensed by the sensing circuit and compares the sensed event parameters to P-wave oversensing criteria. The system detects P-wave oversensing in response to the sensed event parameters meeting the P-wave oversensing criteria; and adjusts at least one of an R-wave sensing control parameter or a therapy delivery control parameter in response to detecting the P-wave oversensing.

Imaging, testing and/or analysis of subjects are facilitated with a capillary-access approach. According to an example embodiment, a capillary is implanted into a specimen and adapted to accept an optical probe to facilitate optical access into the specimen. In some applications, the capillary is implanted for use over time, with one or more different probes being inserted into the capillary at different times, while the capillary is implanted. Certain applications involve capillary implantation over weeks, months or longer. Other applications are directed to the passage of fluid to and/or from a sample via the capillary. Still other applications are directed to the passage of electrical information between the sample and an external arrangement, via an implanted capillary.

Systems and methods of processing raw electrocardiogram (ECG) waveform data of a patient into estimated real-time ECG waveform data. The method includes sensing-at least one physical non-cardiac influence on the raw ECG waveform data, constructing a time domain computer model of the at least one physical, non-cardiac influence on the raw ECG waveform data, and adaptively filtering the raw ECG waveform data in the time domain using the constructed time domain computer model of the at least one physical non-cardiac influence on the raw ECG waveform data to form the estimated real-time ECG waveform data. The system can include an ECG device for collecting raw ECG waveform data, at least two ECG electrodes positioned on the patient and electrically coupled to the ECG device, and a processor coupled to the ECG device and configured to compute a time domain model of an artifact created by chest compressions.

A method of determining health and mortality includes obtaining a ventricular activation (RR) time series from a subject for multiple temporal intervals. The method also includes calculating a cardiac entropy in the RR time series over the temporal intervals using coefficient of sample entropy (COSEn). Additionally, the method includes comparing the cardiac entropy between the intervals to determine health and mortality. The absolute and relative changes in entropy over a patient's follow up period provide dynamic information regarding health and mortality risk. The determination of health and mortality can then be used to create a treatment plan for the subject.

The present disclosure presents methods and apparatuses for mapping a target physiological region, for example, during baroreceptor stimulation therapy. In an aspect, such an example apparatus of the present disclosure may include a surgical instrument configured to be securely coupled to a patient and to allow access to a target physiological region. Furthermore, the example apparatus may include an attachment element coupled to the surgical instrument and configured to releasably engage a lead, stabilize the lead during mapping of the target physiological region, and allow the lead to be repositioned relative to the target physiological region.

Techniques and systems for communicating information via a computer-implemented agent are described. A computing device may obtain sensor data of an individual, such as visual data, audible data, physiological data, or combinations thereof. An emotional state of the individual may be determined based on the sensor data. A communications framework may be identified based on the emotional state of the individual. The communications framework may indicate a manner in which the computer-implemented agent communicates information to the individual. For example, the communications framework may specify voice features, facial features, body language, positioning in the environment, or combinations thereof, that may be utilized to produce a representation of a computer-implemented agent that communicates information to the individual. In some cases, the individual may provide feedback indicating a preference to have the computer-implemented agent communicate information in a different manner.

A portable biomedical device for detecting ischemic stroke in the brain. Its unique capability of enabling portability and compactness and being able to accommodate software that can resolve blood flow velocity measurements enable us to leverage multi-modality system benefits while using simple single modality instrumentation. This unique device provides an ideal diagnostic and predictive tool for ischemic attack such as TIA; not only at hospital bedside but also in a home environment.

Systems and methods for simultaneous position and impedance control for myoelectric interfaces are disclosed herein. Properties such as control refinement, retention, generalization, and transfer allow users to learn simultaneous and proportional motion simply by interacting with a myoelectric interface, regardless of its initial intuitiveness. The presently disclosed technology expands on these motor learning approaches by implementing a multidirectional impedance controller in this framework. Using sEMG inputs from upper limb muscles, users simultaneously control both the stiffness and set-point of 3-DOFs. Users stabilize control in the presence of external forces in an analogous way to natural limb movements. Despite having no haptic feedback, subjects learn to tune the stiffness of the object being controlled to stabilize movement along desired paths.

Embodiments of the present invention are directed towards a system and method for determining an extent of concussion experienced by a user. The method includes receiving, by a computing device, electroencephalogram (EEG) data related to the user from an external device associated with the user. The method further includes determining, by the computing device, the extent of concussion based on the EEG data, displaying, by the computing device data related to the extent of concussion. The method further includes determining the extent of concussion based on the EEG data related to brain activities of the user before the user is concussed, during the time of concussion, and after the user is concussed. Embodiments of the present invention further helps in developing technical skills in the users during training apart from helping them realize or visualize the concussion and impact of the concussion during training or while participating in athletic activities.

An object of the present disclosure is to provide a muscle condition measurement sheet that can quantitatively detect the amplitude and latency of an evoked electromyogram EMG or an evoked mechanomyogram MMG and correctly evaluate the state of activity of a muscle. A pair of stimulating electrodes and all myoelectric detection electrodes come into intimate contact with a body surface of a muscle, appearing on a back surface of an insulating sheet spaced at predetermined intervals; accordingly, the relative position between an electrical stimulation position and the myoelectric detection electrode is fixed and the amplitude and latency of the evoked electromyogram EMG can be quantitatively detected without depending on the stimulation position of an electrical stimulation signal.