Abstract: The present specification discloses an intraoperative neurophysiological monitoring (IONM) system including a computing device capable of executing an IONM software engine, a stimulation module having multiple ports and various stimulation components and recording electrodes. The system is used to implement transcranial electrical stimulation and motor evoked potential monitoring by positioning at least one recording electrode on a patient, connecting the stimulation components to at least one port on the stimulation module, positioning the stimulation components on a patient's head, activating, using the IONM software engine, at least one port, delivering stimulation to the patient; and recording a stimulatory response on the patient.

Abstract: Methods and systems for conditioning a signal indicative of electrosurgical unit activity are described. A hardware circuit acquires AC current from an electrosurgical unit on patient isolated circuitry and conditions the signal in either of two alternate processing methods. The processed signal is routed as input to an analog to digital converter circuit. A method for determining saturation on referential inputs and recovering inputs to an unsaturated state is also described.

Abstract: A system for monitoring includes: multiple EEG sensors spatially positioned on a layer of tissue for capturing EEG signals of a patient; multiple amplifiers coupled with the EEG sensors for amplifying the captured signals; and a low frequency oscillator for generating a synchronizing signal which is distributed to the amplifiers for synchronizing the digitization of the captured signals; wherein each amplifier includes: a voltage controlled oscillator for an adjustable frequency reference; an analog to digital converter for converting the amplified signal to a digital value; and a microcontroller for controlling the frequency of the voltage controlled oscillator and operation of the analog to digital converter by using the synchronizing signal.

Abstract: Methods and systems for conditioning a signal indicative of electrosurgical unit activity are described. A hardware circuit acquires AC current from an electrosurgical unit on patient isolated circuitry and conditions the signal in either of two alternate processing methods. The processed signal is routed as input to an analog to digital converter circuit. A method for determining saturation on referential inputs and recovering inputs to an unsaturated state is also described.

Abstract: A system for monitoring includes: multiple EEG sensors spatially positioned on a layer of tissue for capturing EEG signals of a patient; multiple amplifiers coupled with the EEG sensors for amplifying the captured signals; and a low frequency oscillator for generating a synchronizing signal which is distributed to the amplifiers for synchronizing the digitization of the captured signals; wherein each amplifier includes: a voltage controlled oscillator for an adjustable frequency reference; an analog to digital converter for converting the amplified signal to a digital value; and a microcontroller for controlling the frequency of the voltage controlled oscillator and operation of the analog to digital converter by using the synchronizing signal.

Abstract: The present specification discloses an intraoperative neurophysiological monitoring (IONM) system including a computing device capable of executing an IONM software engine, a stimulation module having multiple ports and various stimulation components and recording electrodes. The system is used to implement transcranial electrical stimulation and motor evoked potential monitoring by positioning at least one recording electrode on a patient, connecting the stimulation components to at least one port on the stimulation module, positioning the stimulation components on a patient's head, activating, using the IONM software engine, at least one port, delivering stimulation to the patient; and recording a stimulatory response on the patient.

Abstract: The present specification discloses an intraoperative neurophysiological monitoring (IONM) system including a computing device capable of executing an IONM software engine, a stimulation module having multiple ports and various stimulation components and recording electrodes. The system is used to implement transcranial electrical stimulation and motor evoked potential monitoring by positioning at least one recording electrode on a patient, connecting the stimulation components to at least one port on the stimulation module, positioning the stimulation components on a patient's head, activating, using the IONM software engine, at least one port, delivering stimulation to the patient; and recording a stimulatory response on the patient.

Abstract: Methods and systems for conditioning a signal indicative of electrosurgical unit activity are described. A hardware circuit acquires AC current from an electrosurgical unit on patient isolated circuitry and conditions the signal in either of two alternate processing methods. The processed signal is routed as input to an analog to digital converter circuit. A method for determining saturation on referential inputs and recovering inputs to an unsaturated state is also described.

Abstract: A system for monitoring includes: multiple EEG sensors spatially positioned on a layer of tissue for capturing EEG signals of a patient; multiple amplifiers coupled with the EEG sensors for amplifying the captured signals; and a low frequency oscillator for generating a synchronizing signal which is distributed to the amplifiers for synchronizing the digitization of the captured signals; wherein each amplifier includes: a voltage controlled oscillator for an adjustable frequency reference; an analog to digital converter for converting the amplified signal to a digital value; and a microcontroller for controlling the frequency of the voltage controlled oscillator and operation of the analog to digital converter by using the synchronizing signal.

Abstract: The present specification discloses an intraoperative neurophysiological monitoring (IONM) system including a computing device capable of executing an IONM software engine, a stimulation module having multiple ports and various stimulation components and recording electrodes. The system is used to implement transcranial electrical stimulation and motor evoked potential monitoring by positioning at least one recording electrode on a patient, connecting the stimulation components to at least one port on the stimulation module, positioning the stimulation components on a patient's head, activating, using the IONM software engine, at least one port, delivering stimulation to the patient; and recording a stimulatory response on the patient.

Abstract: A method of, and apparatus for, determining if a person operating equipment is experiencing an elevated cognitive load, wherein the person's use of a device at a first time is monitored so as to set a baseline signature. Then, at a later time, the person's use of the device is monitored to determine the person's performance at the second time, as represented by a performance signature. This performance signature can then be compared against the baseline signature to predict whether the person is experiencing an elevated cognitive load.

Abstract: A method of, and apparatus for, determining if a person operating equipment is experiencing an elevated cognitive load, wherein the person's use of a device at a first time is monitored so as to set a baseline signature. Then, at a later time, the person's use of the device is monitored to determine the person's performance at the second time, as represented by a performance signature. This performance signature can then be compared against the baseline signature to predict whether the person is experiencing an elevated cognitive load.