Patent classifications
A61B5/369
Stimulation progamming aid using a sensory projection
This document discusses, among other things, systems and methods to map an electrical waveform to a user-perceivable input. Some system examples include at least one electrode configured to sense neural activity in a patient, a mapping controller configured to receive an electrical waveform from the at least one electrode and map the sensed neural activity to a user-perceivable output based on the sensed neural activity, and a user interface operably connected to the mapping controller and configured to provide the user-perceivable output to a user.
Device and method for the learning of the deliberate control of a specified body part by a test subject
A training and simulation assembly for the learning of deliberate control of a specified body part by a test subject contains an electrode cap, which has a number of electrodes, and an evaluation unit, which is configured to measure voltages present at the electrodes and to provide measurement results as EEG measurement data. The evaluation unit analyzes the EEG measurement data for the presence of a mental act and to determine a correspondence value, which indicates the correspondence of the EEG measurement data with reference values defined by the mental act. A control unit and a simulation unit are provided. The simulation unit stimulates the body of the test subject at a specified point of the body and/or to trigger a motion. The control unit controls the stimulation unit and the ability to apply an indicating stimulus to the body part by the stimulation unit.
Method and system for monitoring physiological signals/health data, defibrillation, and pacing in the presence of electromagnetic interference
A system and method adapted for at least one health-related application selected from physiological monitoring, defibrillation, and pacing in the presence of electromagnetic interference (EMI) using the time-domain features of EMI patterns and physiological waveforms. The invention enables EMI detection and identification in a plurality of signals, including various physiological signals, which may contain both physiological information and EMI-generated artifacts. The system utilizes adaptive and versatile modular architecture with a set of modules for various filtering, conditioning, processing, and wireless transmission functions, which can be assembled in different configurations for different settings. In some preferred embodiments, the method and system of this invention are incorporated into (or attached to) an external cardiac defibrillator/monitor or cardiac pacing device. Other preferred embodiments include a wireless monitoring system that provides reliable wireless data transmission during patient table (bed) movement.
Enhanced brain-machine interfaces with neuromodulation
Described is an improved brain-machine interface including a neural interface and a controllable device in communication with the neural interface. The neural interface includes a neural device with one or more sensors for collecting signals of interest and one or more processors for conditioning the signals of interest, extracting salient neural features from and decoding the conditioned signals of interest, and generating a control command for the controllable device. The controllable device performs one or more operations according to the control command, and the neural device administers neuromodulation stimulation to reinforce operation of the controllable device.
PHYSIOLOGICAL MONITORING METHODS AND APPARATUS
An earpiece module includes a plurality of sensor regions, each sensor region contoured to matingly engage a respective different region of an ear of a subject, and each sensor region including an electrode. The earpiece module is configured to detect or measure physiological information about the subject from the different ear regions via the respective electrodes.
PHYSIOLOGICAL MONITORING METHODS AND APPARATUS
An earpiece module includes a plurality of sensor regions, each sensor region contoured to matingly engage a respective different region of an ear of a subject, and each sensor region including an electrode. The earpiece module is configured to detect or measure physiological information about the subject from the different ear regions via the respective electrodes.
DEVICES AND METHODS TO USE POWER SPECTRUM OR SIGNAL ASSOCIATION FOR PAIN MANAGEMENT
Methods and systems for electrical stimulation can include obtaining a biosignal of the patient; altering at least one stimulation parameter of an electrical stimulation system in response to the biosignal; and delivering an electrical stimulation current to one or more selected electrodes of the electrical stimulation system using the at least one stimulation parameter. In some embodiments, a power spectrum is determined from the biosignal. In some embodiments, the biosignal is at least two different biosignals measured at the same or different locations on the patient and a coherence, correlation, or association between the two biosignal is determined.
DEVICES AND METHODS TO USE POWER SPECTRUM OR SIGNAL ASSOCIATION FOR PAIN MANAGEMENT
Methods and systems for electrical stimulation can include obtaining a biosignal of the patient; altering at least one stimulation parameter of an electrical stimulation system in response to the biosignal; and delivering an electrical stimulation current to one or more selected electrodes of the electrical stimulation system using the at least one stimulation parameter. In some embodiments, a power spectrum is determined from the biosignal. In some embodiments, the biosignal is at least two different biosignals measured at the same or different locations on the patient and a coherence, correlation, or association between the two biosignal is determined.
METHOD AND APPARATUS FOR FATIGUE PREDICTION BASED ON ANALOGUE BRAIN WAVE DATA
The present disclosure discloses methods and apparatus for fatigue prediction based on analogue brain wave data, wherein one of the methods comprises: collecting an eye video sequence based on a video capture device; inputting the eye video sequence into a default fatigue discriminator to obtain predicted analogue brain wave data; and outputting the analogue brain wave data to a fatigue discriminant to discriminate a fatigue state. By adopting such a method for fatigue prediction based on analogue brain wave data described in the present disclosure, corresponding analogue brain wave data can be generated through acquiring eye image data, and the fatigue state can be predicted according to the analogue brain waves, so as to avoid tedious operation steps and improve the robustness and accuracy of the fatigue state detection, thereby greatly improving the user experience.
TREATMENT OF NEUROLOGICAL ABNORMALITIES USING DYNAMIC ELECTROENCEPHALOGRAPHY
A method of treating a neurological disorder and/or disease includes positioning a stimulation apparatus on a patient. The stimulation apparatus includes an electrode array having a plurality of electrodes and an emitter array having a plurality of emitters. The method further includes measuring electroencephalography (EEG) signals of the patient with the electrode array. The method further includes emitting radiation into the patient's brain from the emitter array based on the measured EEG signals in order to treat the neurological disorder and/or disease.