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.

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.

Cardiac electrograms are recorded in a plurality of channels. Beats are classified automatically into respective classifications according to a resemblance of the morphologic characteristics of the beats to members of a set of templates. Respective electroanatomic maps of the heart are generated from the classified beats.

Aspects of the disclosure can provide a method and device for detecting EEG signals of a first person in proximity to the device. The device can include a non-contact EEG directional circuit having non-contact sensors, the non-contact EEG directional circuit being configured to detect the EEG signals produced by a brain of the first person without making contact with the first person. The device can further include a processor coupled to the non-contact EEG directional circuit that is configured to analyze the EEG signals to detect patterns in the EEG signals that correspond to a state of the first person in proximity to the non-contacting sensor and feedback device that is configured to provide a second person with an indication of the state of the first person in proximity to the non-contacting sensor. Additionally, the device can include a contact EEG circuit having sensors that are in contact with the second person and that is configured to detect second EEG signals produced by a brain of the second person, wherein the processor is coupled to the contact EEG circuit and is configured to analyze the second EEG signals to detect patterns in the second EEG signals that correspond to a state of second the person.

Provided are systems for measuring an electrocardiogram (ECG) using a wearable device. An example system includes the wearable device. The wearable device has a means for recording an electrical signal from a single wrist of a patient. The wearable device also has a means for detecting a pulse of the patient and recording a photoplethysmogram (PPG) signal, via a PPG optical sensor associated with the wearable device. The wearable device further has a means for generating the electrical signal segments being time-locked to the PPG signal by utilizing the PPG signal as a reference signal. Furthermore, the wearable device has a means for summing the electrical signal segments in a given time period and dividing by the number of segments to produce an average ECG waveform.

Provided are systems for measuring an electrocardiogram (ECG) using a wearable device. An example system includes the wearable device. The wearable device has a means for recording an electrical signal from a single wrist of a patient. The wearable device also has a means for detecting a pulse of the patient and recording a photoplethysmogram (PPG) signal, via a PPG optical sensor associated with the wearable device. The wearable device further has a means for generating the electrical signal segments being time-locked to the PPG signal by utilizing the PPG signal as a reference signal. Furthermore, the wearable device has a means for summing the electrical signal segments in a given time period and dividing by the number of segments to produce an average ECG waveform.

Disclosed are devices, systems, and methods for determining the dipole densities on heart walls. In particular, a triangularization of the heart wall is performed in which the dipole density of each of multiple regions correlate to the potential measured at various located within the associated chamber of the heart. To create a database of dipole densities, mapping information recorded by multiple electrodes located on one or more catheters and anatomical information is used. In addition, skin electrodes may be implemented. Additionally, one or more ultrasound elements are provided, such as on a clamp assembly or integral to a mapping electrode, to produce real time images of device components and surrounding structures.

A system and method for display of subcutaneous cardiac monitoring data are provided. Cutaneous action potentials of a patient and other sensed data associated with the patient are recorded as electrocardiogram (EGC) data over a set time period using a subcutaneous insertable cardiac monitor. A set of R-wave peaks is identified within the ECG data and an R-R interval plot is constructed. A difference between recording times of successive pairs of the R-wave peaks in the set is determined. A heart rate associated with each difference is also determined. The pairs of the R-wave peaks and associated heart rate are plotted as the R-R interval plot. A diagnosis of cardiac disorder is facilitated based on patterns of the plotted pairs of the R-wave peaks, the associated heart rates in the R-R interval plot, and background data based on the other sensed data.