Synchronized stimulation of cardiac tissue can be implemented by implanting two or more rectifier-based AM receivers into different positions within a subject's heart. Each receiver is tuned to a different frequency, and generates an output signal that is capable of stimulating cardiac tissue when a signal at the corresponding tuned frequency arrives at the receiver. An AM transmitter can activate any given one of the receivers by transmitting a signal into the subject's body at the proper frequency. A controller controls the transmitter by commanding the transmitter to transmit pulses of AC at different frequencies at different times, so that when those pulses are received by the correspondingly-tuned receivers, each of the receivers will generate respective output signals that stimulate respective parts of the heart at respective times to promote improved cardiac performance.

A method for automating selection of stimulation parameters for a stimulation device implanted in a patient includes setting, by a user, at least one limit on each of at least one stimulation parameter and performing, automatically using at least one processor, the following actions for each of a plurality of sets of the stimulation parameters constrained by the at least one limit: stimulating the patient, by the stimulation device, using the set of stimulation parameters, sensing one or more effects arising in response to the stimulation, and updating, by the at least one processor, a collection of the effects and sets of stimulation parameters with the one or more effects and the set of stimulation parameters. The method further includes selecting, by the processor, one of the sets of stimulation parameters based on the effects.

A method and system are described for, based upon a plurality of previously-acquired directional LFP signals measured in a plurality of different directions at a directional sensor lead located in a predetermined region of a patient's brain, determining optimised patient-specific programming parameters for programming a directional stimulation lead with parameters for stimulating the said region. The method comprises a first step of determining, over at least one predetermined frequency range, a power-frequency variation curve of each of the directional LFP signals, a second step of identifying frequency peaks in the power-frequency variation curves, a third step of detecting one of the identified frequency peaks at which a maximum difference in signal power between the directional LFP signals occurs, and a fourth step of calculating a plurality of directional stimulation weighting factors on the basis of the relative signal powers of the directional LFP signals at the detected frequency peak.

An implant unit configured for implantation into a body of a subject is provided. The implant unit may include a flexible carrier unit including a central portion and two elongated arms extending from the central portion, an antenna, located on the central portion, configured to receive a signal, at least one pair of electrodes arranged on a first elongated arm of the two elongated arms. The at least one pair of electrodes may be adapted to modulate a first nerve. The elongated arms of the flexible carrier may be configured to form an open ended curvature around a muscle with the nerve to be stimulated within an arc of the curvature.

Methods are disclosed for treating a subject having a disease or disorder comprising stimulating a nerve of the subject with a corrective stimulus pattern derived from a disease-specific, condition-specific, endogenous mediator-specific or pharmacologic agent-specific neurogram in an amount and manner effective to treat the disease or disorder.

A system and method for extracting a cardiac signal from a spinal signal include measuring a spinal signal at one or more electrodes that are connected to a neurostimulator and implanted within a patient's spinal canal and processing the spinal signal to extract the cardiac signal, which includes features that are representative of the patient's cardiac activity. Processing the spinal signal to extract the cardiac signal can include filtering the spinal signal, or use of model reduction schemes such as independent component analysis. The extracted cardiac signal can include a number of features that correspond to an electrocardiogram and can be used to determine the patient's heart rate and/or to detect a cardiac anomaly. Cardiac features that are determined from the cardiac signal can additionally be used to adjust parameters of the stimulation that is provided by the neurostimulator.

A seizure detection system comprises a sensor and a control system. The sensor is configured to detect acceleration data associated with a patient’s movements. The control system is programmed to monitor, via the sensor, the acceleration data to detect a seizure precursor event. The control system is further programmed to, upon detection of the seizure precursor event, perform a frequency analysis of the acceleration data to identify a frequency of the patient’s movements. The control system is further programmed to determine that the patient is experiencing a seizure event based on the frequency of the patient’s movements.

A computer implemented method and system is provided for managing neural stimulation therapy. The method comprises under control of one or more processors configured with program instructions. The method delivers a series of candidate stimulation waveforms having varied stimulation intensities to at least one electrode located proximate to nervous tissue of interest. A parameter defines the candidate stimulation waveforms is changed to vary the stimulation intensity. The method identifies a first candidate stimulation waveform that induces a paresthesia-abatement effect, while continuing to induce a select analgesic effect. The method further identifies a second candidate stimulation waveform that does not induce the select analgesic effect. The method sets a stimulation therapy based on the first and second candidate stimulation waveforms.

An implantable medical device (IMD) is described capable of determining whether a patient is susceptible to freezing of gait events during ambulatory movement without the patient demonstrating an episode of freezing of gait. In one example, the IMD senses, via one or more electrodes, a bioelectrical signal of a brain of the patient while the patient performs movement associated with freezing of gait. The IMD determines, based on the bioelectrical signal, whether the patient is susceptible to freezing of gait while the patient is not experiencing an episode of freezing of gait. Further, upon detecting the movement associated with freezing of gait, the IMD delivers electrical stimulation therapy to the patient configured to suppress freezing of gait.

Stimulation of nervous system components by electrodes can be used in many applications, including in the operation of brain-machine interfaces, bidirectional neural interfaces, and neuroprosthetics. The optimal operation of such systems requires a means of accurately measuring neural responses to such stimulations. However, currently the measurement of neural responses is difficult due to heavy stimulation artifacts arising from stimulatory pulses. The invention encompasses novel methods of estimating stimulation artifacts in measurements attained by recording electrodes and the effective removal of these artifacts. This provides improved neural recording systems and enables the deployment of closed-loop neural stimulation systems.