A system and method for extracting a cardiac signal from a spinal signal include measuring a spinal signal at one or more electrodes that are connected to a neurostimulator and implanted within a patient's spinal canal and processing the spinal signal to extract the cardiac signal, which includes features that are representative of the patient's cardiac activity. Processing the spinal signal to extract the cardiac signal can include filtering the spinal signal, or use of model reduction schemes such as independent component analysis. The extracted cardiac signal can include a number of features that correspond to an electrocardiogram and can be used to determine the patient's heart rate and/or to detect a cardiac anomaly. Cardiac features that are determined from the cardiac signal can additionally be used to adjust parameters of the stimulation that is provided by the neurostimulator.

A system that executes a process for mapping cardiac fibrillation and optimizing ablation treatments. The process, in some embodiments, includes: positioning a two dimensional electrode array to several locations in a patient's heart and at each location, obtaining a conduction velocity and a cycle length measurement from at least two local signals in response to electrical activity in the cardiac tissue. In some embodiments, a regional wavelength is calculated by multiplying the local conduction velocity with the local minimum cycle length. The system can then create a wavelength distribution map that identifies the location of the drivers in the heart. In certain embodiments, the system uses variability of conduction velocity and cycle length in an area to determine the driver type. In some embodiments, the system calculates average distance of drivers to non-conductive tissue boundaries. The system then selects ablation placements that maximize treatment efficacy while minimizing tissue damage.

A system that executes a process for mapping cardiac fibrillation and optimizing ablation treatments. The process, in some embodiments, includes: positioning a two dimensional electrode array to several locations in a patient's heart and at each location, obtaining a conduction velocity and a cycle length measurement from at least two local signals in response to electrical activity in the cardiac tissue. In some embodiments, a regional wavelength is calculated by multiplying the local conduction velocity with the local minimum cycle length. The system can then create a wavelength distribution map that identifies the location of the drivers in the heart. In certain embodiments, the system uses variability of conduction velocity and cycle length in an area to determine the driver type. In some embodiments, the system calculates average distance of drivers to non-conductive tissue boundaries. The system then selects ablation placements that maximize treatment efficacy while minimizing tissue damage.

A system and method for performing an electrocardiogram is described herein. The system may include one or more of an electrode strip, a data recorder, a connector, one or more computing platforms, and/or other components. The electrode strip may include multiple electrodes configured to provide signals conveying information associated with electrocardiograms. The multiple electrodes may be integrated into the electrode strip. The data recorder may be configured to receive and record information associated with electrocardiograms. Information associated with electrocardiograms may be communicated from the electrode strip to the data recorder via a connector. The connector may include a cableless connector. In some implementations, the information associated with electrocardiograms may be transmitted to one or more computing platforms.

A system and method for performing an electrocardiogram is described herein. The system may include one or more of an electrode strip, a data recorder, a connector, one or more computing platforms, and/or other components. The electrode strip may include multiple electrodes configured to provide signals conveying information associated with electrocardiograms. The multiple electrodes may be integrated into the electrode strip. The data recorder may be configured to receive and record information associated with electrocardiograms. Information associated with electrocardiograms may be communicated from the electrode strip to the data recorder via a connector. The connector may include a cableless connector. In some implementations, the information associated with electrocardiograms may be transmitted to one or more computing platforms.

A method for determining the intention of a user of a vehicle to brake or accelerate, comprising: acquiring (100) a plurality of EEG signals on the user, applying (101) a predetermined spatial filter on the plurality of EEG signals so as to obtain a target EEG component, detecting (102) a spectral pattern in the EEG component corresponding to an intention to brake or detecting a phase pattern in the EEG component corresponding to an intention to accelerate.

A device for detecting points and/or regions of rotational electrophysiological activity in or on a heart comprises an input for receiving spatiotemporal electrophysiological data corresponding to a plurality of spatial locations in or on the heart, a time feature extractor for providing time values indicative of times of occurrence of a predetermined feature of a plurality of electric potential waveforms at the spatial location, a mapping unit for providing pairs of adjacent spatial locations; a directed graph generator for generating a directed graph comprising directed edges; a topological feature analyzer.

A device for detecting points and/or regions of rotational electrophysiological activity in or on a heart comprises an input for receiving spatiotemporal electrophysiological data corresponding to a plurality of spatial locations in or on the heart, a time feature extractor for providing time values indicative of times of occurrence of a predetermined feature of a plurality of electric potential waveforms at the spatial location, a mapping unit for providing pairs of adjacent spatial locations; a directed graph generator for generating a directed graph comprising directed edges; a topological feature analyzer.

In accordance with some embodiments of the disclosed subject matter, mechanisms (which can, for example, include systems, methods, and media) for detecting an effortful mental state providing real-time deep brain stimulation to enhance performance of effortful mental tasks are provided. In some embodiments, system for detecting and facilitating effortful mental states is provided, the system comprising: monitoring sensors to capture neural activity from a subject's brain; an implanted stimulator to provide electrical stimulation to the subject's brain; a hardware processor programmed to: correlate activity in a first and second region of the subject brain during task performance; correlate activity in the first and second regions during task non performance; train a support vector machine (SVM) using the correlations as first and second class examples; and provide stimulation to augment brain function when the SVM indicates, based on activity in the first and second regions, the subject is in the mental state.

This document discusses, among other things, systems and methods to determine an indication of discharge readiness for a patient using received physiologic information of the patient corresponding to hospitalization of the patient and received physiologic information of the patient corresponding to a time after hospitalization.