Surgical visualization systems and related methods are disclosed herein, e.g., for providing visualization during surgical procedures. Systems and methods herein can be used in a wide range of surgical procedures, including spinal surgeries such as minimally-invasive fusion or discectomy procedures. Systems and methods herein can include various features for enhancing end user experience, improving clinical outcomes, or reducing the invasiveness of a surgery. Exemplary features can include access port integration, hands-free operation, active and/or passive lens cleaning, adjustable camera depth, and many others.

Systems and methods for positioning implanted devices in a patient are disclosed. A method in accordance with a particular embodiment includes, for each of a plurality of patients, receiving a target location from which to deliver a modulation signal to the patient's spinal cord. The method further includes implanting a signal delivery device within a vertebral foramen of each patient, and positioning an electrical contact carried by the signal delivery device to be within 5 mm. of the target location, without the use of fluoroscopy. The method can still further include, for each of the plurality of patients, activating the electrical contact to modulate neural activity at the spinal cord. In further particular embodiments, RF signals, ultrasound, magnetic fields, and/or other techniques are used to locate the signal delivery device.

The present invention relates generally to an algorithm aimed at neurophysiology monitoring, and more particularly to an algorithm capable of quickly finding stimulation thresholds over multiple channels of a neurophysiology monitoring system.

A system and methods for performing neurophysiologic assessments during surgery, such as assessing the health of the spinal cord via at least one of MEP and SSEP monitoring and assessing bone integrity, nerve proximity, neuromuscular pathway, and nerve pathology during spine surgery.

The present invention relates generally to an algorithm aimed at neurophysiology monitoring, and more particularly to an algorithm capable of quickly finding stimulation thresholds over multiple channels of a neurophysiology monitoring system.

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 using a first low-pass filter and a second moving average filter. Model reduction schemes such as independent component analysis can additionally or alternatively be employed to extract the cardiac signal. 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.

The present invention relates to a system and methods generally aimed at surgery. More particularly, the present invention is directed at a system and related methods for performing surgical procedures and assessments involving the use of neurophysiology.

The present disclosure relates to a spinal stenosis diagnostic method and apparatus and the spinal stenosis diagnostic method includes: sequentially receiving a phase contrast magnetic resonance imaging in each time interval captured by normalizing one cardiac cycle with a plurality of time intervals; obtaining a cerebrospinal fluid velocity distribution in each normalized time interval from the phase contrast magnetic resonance imaging of each time interval; calculating a turbulence kinetic energy using the cerebrospinal fluid velocity distribution obtained at every time interval; and diagnosing the spinal stenosis using the calculation result of the turbulence kinetic energy.

A method of visualizing spinal nerves includes receiving a 3D image volume depicting a spinal cord and a plurality of spinal nerves. For each spinal nerve, a 2D spinal nerve image is generated by defining a surface within the 3D volume comprising the spinal nerve. The surface is curved such that it passes through the spinal cord while encompassing the spinal nerve. Then, the 2D spinal nerve images are generated based on voxels on the surface included in the 3D volume. A visualization of the 2D spinal images is presented in a graphical user interface that allows each 2D spinal image to be viewed simultaneously.

A system for detecting a blood vessel rupture is disclosed. The system includes a sensor assembly including a plurality of sensors, each of which is configured to detect a pressure wave through CSF and to generate a pressure signal in response thereto. The system also includes a processing device coupled to the sensor assembly. The processing device configured to analyze the pressure signal to determine a blood vessel rupture.