In example implementations, an apparatus is provided. The apparatus includes a body portion and a plurality of legs movably coupled to the body portion. The body portion is to rest on a backside of a hand of a user. Each one of the plurality of legs include a curved portion to fit between fingers of a user. Respective ends of the plurality of legs are to contact a palm of the user.

In example implementations, an apparatus is provided. The apparatus includes a body portion and a plurality of legs movably coupled to the body portion. The body portion is to rest on a backside of a hand of a user. Each one of the plurality of legs include a curved portion to fit between fingers of a user. Respective ends of the plurality of legs are to contact a palm of the user.

A spinal cord stimulator (SCS) system and method for placing SCS electrodes in a patient for spinal cord stimulation therapy. The SCS system comprises a stimulator and an amplifier unit. The amplifier unit comprises an algorithm module to store and process algorithms for processing data received from recording electrodes placed in a patient's body. The recording electrodes send real-time electromyography (EMG) data related to the patient to the algorithm module. The algorithm module processes the real-time EMG data, including filtering the EMG data to remove artifacts generated by the SCS electrodes. The SCS system compares the filtered EMG data in real-time with the pre-clinical EMG data and displays the comparison data on the display device. The displayed data is used, by the surgeon, for lateralization of the SCS electrode.

A spinal cord stimulator (SCS) system and method for placing SCS electrodes in a patient for spinal cord stimulation therapy. The SCS system comprises a stimulator and an amplifier unit. The amplifier unit comprises an algorithm module to store and process algorithms for processing data received from recording electrodes placed in a patient's body. The recording electrodes send real-time electromyography (EMG) data related to the patient to the algorithm module. The algorithm module processes the real-time EMG data, including filtering the EMG data to remove artifacts generated by the SCS electrodes. The SCS system compares the filtered EMG data in real-time with the pre-clinical EMG data and displays the comparison data on the display device. The displayed data is used, by the surgeon, for lateralization of the SCS electrode.

A Spinal Cord Stimulator (SCS) electrode placement system that includes a stimulator, at least one amplifier, a processing unit, the processing unit programmable with software. The automated system aids surgeons in placing SCS electrodes by determining neurophysiologic position. It does this by adjusting parameters and stimulating the muscles of a patient from the SCS electrode to capturing electrophysiologic signal such as Electromyography (EMG) data from different muscles. This data is then collected at various positions on the SCS electrode and then aggregated to display the location of the SCS electrode. The data is then visually outputted to the surgeon to help make a lateralization decision. All aspects of the system can be manually adjusted by the surgeon.

A neurostimulation system includes an electromyographic (EMG) electrode; a neural electrode implantable in a deep cerebellar nuclei of a subject; a data acquisition unit in communication with the EMG electrode for receiving and transmitting a EMG signal; and a processor in communication with the data acquisition unit, the processor generates a EMG pattern based on the EMG signal and outputs a stimulation signal to the neural electrode when the EMG pattern is indicative of an abnormal motor movement. A method of modulating an abnormal motor movement of a subject by using the neurostimulation system.

A modular electroencephalograph (EEG) system comprises a carrier board comprising one or more electrode connectors, one or more power supplies, and one or more analog-to-digital converter (ADC) modules. Each of the ADC modules comprises multiple input channels, input signal routing, at least one instrumentation power supply, configuration switches for the at least one instrumentation power supply and the input signal routing, an ADC, a programmable gain amplifier, and an ADC communications bus. Each of the one or more ADC modules electrically connects to one of the one or more electrode connectors and one of the one or more power supplies of the carrier board. An embedded computer is configured to run a real time operating system (RTOS), wherein each ADC communications bus of the one or more ADC modules is electrically connected to the embedded computer via a serial interface.

A modular electroencephalograph (EEG) system comprises a carrier board comprising one or more electrode connectors, one or more power supplies, and one or more analog-to-digital converter (ADC) modules. Each of the ADC modules comprises multiple input channels, input signal routing, at least one instrumentation power supply, configuration switches for the at least one instrumentation power supply and the input signal routing, an ADC, a programmable gain amplifier, and an ADC communications bus. Each of the one or more ADC modules electrically connects to one of the one or more electrode connectors and one of the one or more power supplies of the carrier board. An embedded computer is configured to run a real time operating system (RTOS), wherein each ADC communications bus of the one or more ADC modules is electrically connected to the embedded computer via a serial interface.

A physiological signal recognition apparatus and a physiological signal recognition method are provided. A root mean square algorithm is executed on a physiological signal to obtain a noise threshold, and the physiological signal is adjusted based on the noise threshold to obtain an adjusted signal. Then, a muscle strength starting point in the adjusted signal is detected.

In example implementations, an apparatus is provided. The apparatus includes a body portion and a plurality of legs movably coupled to the body portion. The body portion is to rest on a backside of a hand of a user. Each one of the plurality of legs include a curved portion to fit between fingers of a user. Respective ends of the plurality of legs are to contact a palm of the user.