Systems and methods are disclosed for deep brain stimulation. In one implementation, a deep brain stimulation system comprises a neural probe configured for placement within a brain; at least one signal lead; a sensing assembly including at least one sensing micro-electrode and at least one stimulation electrode; and at least one processor assembly configured to: receive at least one sense signal generated in response to interaction between the at least one sensing electrode and one or more electrical signals generated by at least one neuron in the brain; deliver at least one of a library of preset target stimulation patterns; determine a target stimulation pattern based on at least one characteristic of the at least one sense signal; and cause a signal generator to deliver stimulation signals to stimulation electrodes among the at least one stimulating electrode to activate the set of stimulation electrodes according to the target stimulation pattern.

A method and apparatus for determining the impedance of the plurality of channels comprising a plurality of channels having a plurality of first channels and a plurality of second channels, at least one reference channel, a signal generator electrically connected to the plurality of channels, a reference signal generator connected to the reference channel, at least one amplifier connected to each of the plurality of channels and the reference channel and at least one filter connected to an output of the at least one amplifier to filter the output signal from the at least one amplifier. The signal generator is configured to provide a plurality of input signals to the plurality of channels. The reference signal generator provides an input signal to the reference channel.

An ECG sensor chip used in a wearable appliance includes; a switch controlled by a switching signal, an amplifier that amplifies a difference between first and second ECG signals, and a location indicator that generates the switching signal. The switch passes either a first ECG signal or second ECG signal in response to the switching signal.

An electrocardiogram (ECG) acquisition and viewing system receiving extended ECG recordings and automatically extracting segments with heart arrhythmias allowing overreading cardiologists to quickly analyze the extract segments from the larger data set. The present invention provides an easy to use, lightweight ECG module providing acquisition of 12 lead ECG data and communication with local and remote network devices receiving the ECG data The present invention provides wireless communication (e.g., Bluetooth, near field communication) with local devices so that ECG waveforms may be viewed in real time, allowing lead connections to be corrected and integrity restored before and during data acquisition.

A neural interface circuit for bidirectional signal transmission includes at least one electrode configured to collect a neural signal and receive an excitation signal. The neural interface circuit can transmit signals bidirectionally. On the one hand, neural signals can be collected through electrodes, and on the other hand, excitation signals can be received through electrodes. The excitation signals can achieve the purpose of researching or intervening treatment.

An energy supplying component (100) includes a plurality of power sources (161, 171, 181, 191) and at least one switch (163, 165, 167, 173, 175, 177, 183, 185, 187, 193, 195, 197). Each power source of the plurality of power sources is configured to output a defined energy level. The at least one switch is configured to reversibly combine two or more power sources of the plurality of power sources for enabling the energy supplying component to supply requested energy at one or both of a needed voltage or a needed current.

The present invention relates to a universal adaptor that allows one to connect electrodes and/or electrode pads from a patient that is experiencing heart problems to an EKG and/or defibrillator from a different manufacturer from the manufacturer of the electrodes and/or electrode pads. The invention also relates to methods of saving a patient's life by eliminating the process and time that it would take to transfer electrodes and/or electrode pads on a patient by using this universal adaptor.

In some examples, a device includes at least three electrodes a first pair of electrodes and a second pair of electrodes. The device also includes circuitry configured to generate a first cardiac signal based on a first differential signal received across the first pair, generate a first brain signal based on the first differential signal received across the first pair, generate a second cardiac signal based on a second differential signal received across the second pair, and generate a second brain signal based on the second differential signal received across the second pair. The circuitry is also configured to output a composite cardiac signal based on the first cardiac signal and the second cardiac signal and to output a composite brain signal based on the first brain signal and the second brain signal.

In some examples, a device includes at least three electrodes a first pair of electrodes and a second pair of electrodes. The device also includes circuitry configured to generate a first cardiac signal based on a first differential signal received across the first pair, generate a first brain signal based on the first differential signal received across the first pair, generate a second cardiac signal based on a second differential signal received across the second pair, and generate a second brain signal based on the second differential signal received across the second pair. The circuitry is also configured to output a composite cardiac signal based on the first cardiac signal and the second cardiac signal and to output a composite brain signal based on the first brain signal and the second brain signal.

A computer-implemented method can include determining an amplitude for each of a plurality of input channels, corresponding to respective nodes. A measure of similarity can be computed between the input channel of each node and the input channel of its neighboring nodes. The method can also include comparing an amplitude for each node relative to other nodes to determine temporary bad channels. For each of the temporary bad channels, a measure of similarity can be computed between the input channel of each node and the input channel of its neighboring nodes. Channel integrity can then be identified based on the computed measures of similarity.