Methods, systems, and devices for signal analysis in an implanted cardiac monitoring and treatment device such as an implantable cardioverter defibrillator. In some examples, captured data including detected events is analyzed to identify likely overdetection of cardiac events. In some illustrative examples, when overdetection is identified, data may be modified to correct for overdetection, to reduce the impact of overdetection, or to ignore overdetected data. Several examples emphasize the use of morphology analysis using correlation to static templates and/or inter-event correlation analysis.

A method is described for extracting aperiodic components from a time-series wave data set for diagnosis purposes. The method may include collecting time-series wave data within a controlled environment were a plurality of contrasting conditions can be used in collecting the time-series wave data set. Aperiodic components can be extracted from the time-series wave data set and the aperiodic components can then be fitted to the plurality of contrasting conditions of the controlled environment to product regressed aperiodic components from which diagnostic determination can be made.

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 defibrillator and method for using a defibrillator which adopts an ECG analysis algorithm that can detect a cardiac arrhythmia in the presence of noise artifact induced by cardio pulmonary resuscitation (CPR) compressions. The apparatus and method offers guidance throughout a cardiac rescue protocol involving both defibrillation shocks and CPR that improves the effectiveness of the rescue, resulting in more CPR “hands-on” time, better treatment of refibrillation, and reduced transition times between CPR and electrotherapy.

A method produces a device adapted to be implanted into the human body for purposes such as neural stimulation, sensing or the like. The method includes: providing a stretchable layer or membrane of an insulating material; forming on the layer or membrane at least one stretchable conductive path; depositing at least one small bolus of a soft and conductive paste or material onto pre-defined areas or portions of the at least one conductive path, and inserting a first end portion of a conductive element 71 into the at least one bolus of soft conductive paste or material. A second end portion of the conductive element opposite to the first end portion is not inserted into the at least one bolus.

A device is provided for the stimulation of neurons that includes a non-invasive stimulation unit to generate stimuli in multiple stimulation channels, where the stimulation unit stimulates a neuron population in the brain and/or spinal cord of a patient in different locations for each of the stimulation channels. Moreover, the device includes a control unit that controls the stimulation unit to generate repetitive bursts in each of the stimulation channels, where each of the bursts includes multiple stimuli and is designed so that they do not reset the phase of the neuronal activity of the respective stimulated neurons.

Biometric identification methods and apparatuses (including devices and systems) for uniquely identifying one an individual based on wearable garments including a plurality of sensors, including but not limited to sensors having multiple sensing modalities (e.g., movement, respiratory movements, heart rate, ECG, EEG, etc.).

An arrangement may include a first system provided for processing physiological data representative of a beating heart. The first system may be adapted to execute a process for using at least one pattern to detect a notable finding in the physiological data and for sending the notable finding to a second system. The second system may be adapted to execute a process for analyzing the notable finding, for determining at least one new pattern to send to the first system, and for sending the at least one new pattern to the first system. The at least one new pattern may also include a rule that includes a set of conditions and an action to perform if the set of conditions is met.

The invention relates to the system and method of remote ECG monitoring, remote disease screening, and early-warning system based on wavelet analysis. The system includes a wireless ECG signal acquisition device, a mobile terminal, and a cloud storage platform. The wireless ECG signal acquisition device worn on the user's chest is used to collect ECG signals anywhere and anytime. The method includes transmitting the ECG signals to the mobile terminal using the wavelet analysis algorithm, analyzing and processing the received ECG signal, and uploading the processed ECG signals to the cloud storage platform. The cloud storage platform stores users' personal information and ECG signals. According to the ECG features detection with support vector machine learning algorithm for heart diseases diagnosis and features classification, the system gives feedback report and proposal, and transmits them to the mobile terminal.

Methods, systems and devices for treating chronic pain by inducing stimulation to a predetermined region of the brain and measuring neural activity response to the stimulation and evaluating a neuroplasticity and/or excitability of neural-structures in a predetermined brain region, then stimulating the predetermined brain region to treat the chronic pain.