A method and system for monitoring neuromuscular blockade in patients during surgical procedures. A stimulator provides stimulation to a nerve of the patient, such as train-of-four (TOF). Following such stimulation, the system and method creates a predicted recovery trend for the patient that is based upon measured recovery trend and a recovery model. The recovery model estimates a recovery trend for the patient based on initial model parameter values. The recovery model creates a predicted recovery trend that is used to estimate a recovery time for the patient. The trend values from the patient are monitored and compared to the predicted trend values throughout the operation as long as the NMT measurement is on. During recovery, the recovery model and recovery time estimates are updated based on the recovery trend being formed from measurements of the patient.

The invention relates to a method (400) performed by an anesthetizing monitoring unit (110) configured to determine an anesthetized patient state, the method comprising disabling (410) an input port (111) of the anesthetizing monitoring unit (110), transmitting (420) a stimuli signal (S.sub.stimuli) using an output port (112) of the anesthetizing monitoring unit (110), enabling (430) the input port (111) of the anesthetizing monitoring unit (110) with a delay (T) relative to the transmission of the stimuli signal (S.sub.stimuli), receiving (440) an evoked electromyography, EMG, response signal (S.sub.Response) in response to the transmitted stimuli signal (S.sub.stimuli), determine (450) an anesthetized patient state by determining a neuromuscular function value using properties of the stimuli signal (S.sub.stimuli) and the response signal (S.sub.Response). The invention further relates to an anesthetizing monitoring unit (110) and an anesthetizing monitoring system (100).

The invention relates to a method (400) performed by an anesthetizing monitoring unit (110) configured to generating an improved evoked electromyography response signal (.sub.Response), the method comprising transmitting (515) a stimuli signal (S.sub.Stimuli) using an output port (112) of the anesthetizing monitoring unit (110), receiving (525) an evoked electromyography, EMG, response signal (S.sub.Response), having a duration (T.sub.Response), in response to the transmitted stimuli signal (S.sub.Stimuli) using an input port (111) of the anesthetizing monitoring unit (110), estimating (535) a periodic noise waveform (S.sub.Periodic), having the duration (T.sub.Response), by using temporal segments of a noise signal (S.sub.Noise), generating (545) the improved response signal (.sub.Response) by subtracting the noise waveform from the response signal (S.sub.Response). The invention further relates to an anesthetizing monitoring unit (110) and an anesthetizing monitoring system (100).

An eye sensor, system and method for measuring fixational eye movements of an individual's eyeball (e.g., ocular microtremors and microsaccades) to provide a variable voltage biosignal for measuring the individual's brain stem activity. The eye sensor comprises a sensor mounted on the individual's closed or opened eyelid so as to be deflected by the fixational eye movements of the eyeball. A shielded flexible ribbon assembly supplies the biosignal generated by the sensor to an amplifier located on the individual's skin where the biosignal is amplified. The amplifier is interconnected with a signal processor and a display by which graphical and numerical representations of the biosignal are made accessible to an anesthesiologist, intensivist or clinician. A method for analyzing the biosignal to determine the brainstem activity of a patient.

The invention relates to a method for automatic and continuous measurement of a sedation state of a patient in an intensive care unit. The method according to the invention comprises the following steps: providing signals representative of the condition of the patient, said signals comprising cardio-circulatory signals, signals representative of the respiratory activity and signals representative of the motor activity of the patient; and determining a global index representative of the sedation state of the patient.

The present invention involves systems and methods for determining nerve proximity, nerve direction, and pathology relative to a surgical instrument based on an identified relationship between neuromuscular responses and the stimulation signal that caused the neuromuscular responses.

Neurostimulator devices are described. An example neurostimulator device includes a stimulation assembly connectable to a plurality of electrodes, wherein the plurality of electrodes are configured to stimulate a spinal cord. The neurostimulator device also includes an interface and at least one processor configured to modify at least one complex stimulation pattern deliverable by the plurality of electrodes by integrating data from the interface and performing a machine learning algorithm on the at least one complex stimulation pattern.

In an example embodiment, this disclosure provides a non-transitive computer-readable medium on which are stored instructions executable by a processor, the instructions which, when executed by the processor, cause the processor to perform a method. The method includes computing, based on test performance data of a user, at least one of a performance variable characterizing cognitive functioning and a performance variable characterizing neuromotor functioning. For each of the at least one performance variable, a respective score can be computed based on the respective performance variable and based on a set of performance metrics. The method can also include outputting, via an output device, the at least one computed score.

The present invention involves systems and methods for determining nerve proximity, nerve direction, and pathology relative to a surgical instrument based on an identified relationship between neuromuscular responses and the stimulation signal that caused the neuromuscular responses.

A sensing device for detecting an artificially induced neuromuscular response within a limb of a subject includes a plurality of mechanical sensors, wireless communication circuitry, and a processor in electrical communication with each of the plurality of mechanical sensors and wireless communication circuitry. Each sensor is operative to monitor a mechanical response of a different muscle group of the limb and generate a mechanomyography (MMG) output signal corresponding to the monitored motion. The processor receives and buffers a portion of each MMG output signal, determines if the MMG output signal from any one or more of the plurality of mechanical sensors is representative of an artificially induced neuromuscular response, and transmits one or more of the buffered MMG output signals to a host system only if the output signal from one or more of the sensors is determined to be representative of an artificially induced neuromuscular response.