Abstract: In one aspect, the invention comprises an implantable living electrode comprising a substantially cylindrical extracellular matrix core; one or more neurons implanted along or within the substantially cylindrical extracellular matrix core, the one or more neurons including one or more optogenetic or magnetogenetic neurons proximal to a first end of the implantable living electrode.

Abstract: In one aspect, the invention comprises an implantable living electrode comprising a substantially cylindrical extracellular matrix core; one or more neurons implanted along or within the substantially cylindrical extracellular matrix core, the one or more neurons including one or more optogenetic or magnetogenetic neurons proximal to a first end of the implantable living electrode.

Abstract: A system using neurological control signals to control a device is disclosed. The system may include a sensor sensing electrical activity of a plurality of neurons over time and a vector generator generating a neural control vector from the sensed electrical activity of the plurality of neurons over time. The system may also include a control filter to which the neural control vector is applied to provide a control variable and an output device controlled by the control variable.

Abstract: Various embodiments of a biological interface system and related methods are disclosed. The system may comprise a sensor comprising a plurality of electrodes for detecting multicellular signals emanating from one or more living cells of a patient and a processing unit configured to receive the multicellular signals from the sensor and process the multicellular signals to produce a processed signal. The processing unit may be configured to transmit the processed signal to a controlled device that is configured to receive the processed signal. The system is configured to perform an integrated patient training routine to generate one or more system configuration parameters that are used by the processing unit to produce the processed signal.

Abstract: Various embodiments of a biological interface system and related methods are disclosed. The system may comprise a sensor comprising a plurality of electrodes for detecting multicellular signals emanating from one or more living cells of a patient and a processing unit configured to receive the multicellular signals from the sensor and process the multicellular signals to produce a processed signal. The processing unit may be configured to transmit the processed signal to a controlled device that is configured to receive the processed signal. The system is configured to perform an integrated patient training routine to provide a time varying stimulus to the patient and to generate one or more system configuration parameters used by the processing unit to produce the processed signal.

Abstract: Various embodiments of an ambulation and movement assist system are disclosed. For example, an ambulation system for a patient may comprise an exoskeleton device attached to the patient, an FES device at least partially implanted in the patient, and a biological interface apparatus. The biological interface apparatus comprises a sensor having a plurality of electrodes for detecting multicellular signals, a processing unit configured to receive the multicellular signals from the sensor, process the multicellular signals to produce a processed signal, and transmit the processed signal to a controlled device. At least one of the exoskeleton device and the FES device is the controlled device of the biological interface apparatus.

Abstract: Systems, methods and devices for restoring or enhancing one or more motor functions of a patient are disclosed. The system comprises a biological interface apparatus and a joint movement device such as an exoskeleton device or FES device. The biological interface apparatus includes a sensor that detects the multicellular signals and a processing unit for producing a control signal based on the multicellular signals. Data from the joint movement device is transmitted to the processing unit for determining a value of a configuration parameter of the system. Also disclosed is a joint movement device including a flexible structure for applying force to one or more patient joints, and controlled cables that produce the forces required.

Abstract: Systems, methods and devices for restoring or enhancing one or more motor functions of a patient are disclosed. The system comprises a biological interface apparatus and a joint movement device such as an exoskeleton device or FES device. The biological interface apparatus includes a sensor that detects the multicellular signals and a processing unit for producing a control signal based on the multicellular signals. Data from the joint movement device is transmitted to the processing unit for determining a value of a configuration parameter of the system. Also disclosed is a joint movement device including a flexible structure for applying force to one or more patient joints, and controlled cables that produce the forces required.

Abstract: Various embodiments of a biological interface system and related methods are disclosed. The system may comprise a sensor comprising a plurality of electrodes for detecting multicellular signals emanating from one or more living cells of a patient and a processing unit configured to receive the multicellular signals from the sensor and process the multicellular signals to produce a processed signal. The processing unit may be configured to transmit the processed signal to a controlled device that is configured to receive the processed signal. The system is configured to perform an integrated patient training routine to generate one or more system configuration parameters that are used by the processing unit to produce the processed signal.

Abstract: Various embodiments of an ambulation system and a movement assist system are disclosed. For example, an ambulation system for a patient may comprise a biological interface apparatus and an ambulation assist apparatus. The biological interface apparatus may comprise a sensor having a plurality of electrodes for detecting multicellular signals, a processing unit configured to receive the multicellular signals from the sensor, process the multicellular signals to produce a processed signal, and transmit the processed signal to a controlled device. The ambulation assist apparatus may comprise a rigid structure configured to provide support between a portion of the patient's body and a surface. Data may be transferred from the ambulation assist apparatus to the biological interface apparatus.

Abstract: Various embodiments of a biological interface system and their related methods are disclosed. A biological interface system may include a sensor including a plurality of electrodes configured to detect multicellular signals emanating from one or more living cells of a patient and a processing unit configured to receive the multicellular signals from the sensor and to process the multicellular signals to produce processed signals. The system may also include a plurality of controlled devices each configured to receive the processed signals. The plurality of controlled devices include at least a first controlled device and a second controlled device. The system may include a selector module usable by an operator and being configured to select which of the first and second controlled devices is to be controlled by the processed signals.

Abstract: Devices, systems and methods are disclosed for a neural access device that includes an implant which transcutaneously exits the skin of a patient and provides transport of signals between a sensor implanted in a patient and an external device. The transcutaneous implant has integrated features to provide reduced risk of injury due to mechanical forces as well as electrostatic discharge energy applied to the external portion of the device. Transcutaneous devices which provide wireless communication between a sensor and an external device are also disclosed.

Abstract: Systems and methods for detecting, monitoring, and/or treating neurological events based on, for example, electrical signals generated from the patient's body are disclosed. Various embodiments of the invention include a system for predicting occurrence of a neurological event in a patient's body. The system may include an implant configured to be placed in the body and detect signals indicative of an activity that precedes the neurological event, and a processing unit configured to process the detected signals so as to predict the neurological event prior to the occurrence.

Abstract: A system and method for a neural interface system with integral calibration elements may include a sensor including a plurality of electrodes to detect multicellular signals, an interface to process the signals from the sensor into a suitable control signal for a controllable device, such as a computer or prosthetic limb, and an integrated calibration routine to efficiently create calibration output parameters used to generate the control signal. A graphical user interface may be used to make various portions of the calibration and signal processing configuration more efficient and effective.

Abstract: Systems and methods are disclosed for detecting neural, biological, or other electrical signals generated within a patient's body and processing those signals to generate a control signal that may control the delivery of a biologic, therapeutic, or other agent, such as a drug. Embodiments include a system having a sensor implanted in a patient's brain to detect neural signals used to control delivery of a drug to the patient. The system may also control an internal and/or external device, such as a prosthetic limb, and control delivery of a drug to increase the performance of the system and/or the controlled device.

Abstract: System and methods consistent with the present invention decode brain signals. The system includes a receiver for receiving an input signal representing multiple individual neuron signals, and a frequency filter for separating the multiple neuron signals from the received input neural signal. A rectifier full wave rectifies the filtered neural signal and an integrator integrates the rectified neural signal to obtain an envelope of the rectified neural signal. As a result of this processing, sample values of the neural signal envelope represent neurological activity.