A system for assessing a sympathovagal balance of a patient includes a generator configured to produce stimulation pulses, a stimulator that receives the stimulation pulses produced by the generator and outputs a stimulation energy, a sensor configured to measure a physiological signal, and a processor. The processor is configured to control the generator during a plurality of sequences to produce the stimulation pulses over a test period, determine a biological parameter of a current activity of the patient derived from the physiological signal, determine a variation of the biological parameter resulting from the stimulation pulses, and determine a sympathovagal balance index according to the variation in the biological parameter.

A bio-information analysis device includes a measuring unit that measures biometric waveforms of a subject, and a calculating unit that calculates a matching rate of the biometric waveforms based on shapes and magnitudes of the biometric waveforms measured by the measuring unit. In the bio-information analysis device, the biometric waveforms may be electrocardiogram waveforms.

A neuromonitoring needle electrode placement gun which includes a housing, at least a first needle electrode and housing assembly, an elongated channel dimensioned and configured for accommodating axial movement of the at least a first needle electrode and housing assembly within the channel and for directing movement of the at least a first needle electrode and housing assembly and a pusher dimensioned and configured for engaging the at least a first needle electrode and housing assembly and for axially displacing the at least a first needle electrode and housing assembly.

A system for managing care of a person receiving emergency cardiac assistance includes one or more capacitors arranged to deliver a defibrillating shock to a person; one or more electronic ports for receiving a plurality of signals from sensors for obtaining indications of an electrocardiogram (ECG) for the person; and a patient treatment module executable on one or more computer processors using code stored in non-transitory media and to provide a determination of a likelihood of success from delivering a future defibrillating shock to the person with the one or more capacitors, using a mathematical computation applied to a vector value defined by signals from at least two of the plurality of signals.

Acute myocardial infarction (AMI) is diagnosed if: (1) the ECG traces satisfy an ST Elevation Myocardial Infarction (STEMI) criterion and the ECG traces do not indicate the subject has a confounding cardiac condition, or (2) the ECG traces satisfy the STEMI criterion and the ECG traces also indicate the subject has the confounding cardiac condition and a three-dimensional vector cardiograph (3D-VCG) signal generated from the ECG traces includes an ST vector in the ST segment of the 3D-VCG signal and a terminal QRS vector of maximum magnitude in a terminal portion of the QRS complex of the 3D-VCG signal for which the angle between the ST vector and the terminal QRS vector is less than a threshold angle, e.g. in the range [130°, 170°] inclusive. The confounding cardiac condition may be bundle branch block (BBB), left ventricular hypertrophy (LVH), or interventricular conduction delay (IVCD).

A system or method for motor rehabilitation of a paretic limb including: a first plurality of sensors for registering brain neurosignals; a body-actuator; a hybrid brain machine interface for decoding brain neurosignals into movements of the body-actuator; a second plurality of EMG sensors couplable to the paretic limb for registering its EMG activity; a device for providing the patient with instructions relative to a series of exercises and/or tasks to be carried out with the paretic limb;
wherein upon carrying out a series of training sessions, each session comprising at least a set of such instructions, the hybrid brain machine interface is configured to switch between controlling the movements of the body-actuator based on the decoded brain neurosignals and a hybrid control of the movements of the body-actuator, when a significant level of decodable EMG activity has been registered, the hybrid control being an EMG-gated brain control.

An ECG signal processing system which removes the CPR-induced artifact from measured ECG signals obtained during the administration of CPR.

Disclosed is a biosignal acquisition device for the acquisition, in particular the concurrent or simultaneous acquisition, of optical and electrical biosignals. The optical and electrical biosignals are both received by an analog front end device for biosignals, with an opto-electric converter for converting the optical biosignals into electrical signals. Also disclosed are a system of a plurality of biosignal acquisition devices and a biosignal acquisition method.

A medical device performs a method for detecting an atrial tachyarrhythmia by determining RR intervals between successive R-waves of a cardiac electrical signal and determining classification factors from the R-waves identified over a predetermined time period by determining at least a first classification factor correlated to variability of the RR intervals and a second classification factor indicating a presence of a ventricular tachyarrhythmia. The device classifies the cardiac electrical signal of the predetermined time period as unclassified, atrial tachyarrhythmia or non-atrial tachyarrhythmia by comparing the determined classification factors to classification criteria. The predetermined time period is classified as unclassified when the second classification factor indicates the presence of a ventricular tachyarrhythmia.

A medical device is configured to detect an atrial tachyarrhythmia episode. The device senses a cardiac signal, identifies R-waves in the cardiac signal attendant ventricular depolarizations and determines classification factors from the R-waves identified over a predetermined time period. The device classifies the predetermined time period as one of unclassified, atrial tachyarrhythmia and non-atrial tachyarrhythmia by comparing the determined classification factors to classification criteria. A classification criterion is adjusted from a first classification criterion to a second classification criterion after at least one time period being classified as atrial tachyarrhythmia. An atrial tachyarrhythmia episode is detected by the device in response to at least one subsequent time period being classified as atrial tachyarrhythmia based on the adjusted classification criterion.