A biometric apparatus includes a calculation device that processes first time series data from a first measuring device and second time series data from a second measuring device; a display device that displays the time series data; a trigger signal generator that generates one or more trigger signals; and an input unit, wherein the calculation device determines one or more specific intervals of the first time series data based on the one or more trigger signals; configures a classification reference for classifying time series data in the one or more specific intervals using the time series data in a first specific interval using an input signal as a trigger; classifies the second time series data for the one or more specific intervals using a result of classifying the first time series data based on the classification reference; and displays a classification result of the second time series data.

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.

A biomagnetism measurement apparatus includes a memory and a processor configured to set a curved surface as a region-of-interest based on a morphological image including a portion to be evaluated of a subject, the morphological image being acquired by an image acquisition apparatus, and the curved surface being a surface on which an anterior-posterior position of the subject changes in a cranial-caudal direction and in a left-right direction along a position of a nerve to be evaluated. The processor is further configured to estimate current distribution in the region-of-interest based on magnetic data, the magnetic data being acquired by measuring a magnetic field with a magnetic measurement instrument, and the magnetic field being generated by an electrical activity of a nerve in the portion to be evaluated.

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.

Currently, assessing the severity and progression of symptoms in a subject diagnosed with a muscular disability, in particular SMA involves in-clinic monitoring and testing of the subject every 6 to 12 months. However, monitoring and testing a subject more frequently is preferred, but increasing the frequency of in-clinic monitoring and testing can be costly and inconvenient to the subject. Thus, assessing the severity and progression of symptoms via remote monitoring and testing of the subject outside of a clinic environment as described herein provides advantages in cost, ease of monitoring and convenience to the subject. Systems, methods and devices according to the present disclosure provide a diagnostic for assessing of the motor function of a subject having a muscular disability, in particular SMA by active testing of the subject.

Currently, assessing the severity and progression of symptoms in a subject diagnosed with a muscular disability, in particular SMA involves in-clinic monitoring and testing of the subject every 6 to 12 months. However, monitoring and testing a subject more frequently is preferred, but increasing the frequency of in-clinic monitoring and testing can be costly and inconvenient to the subject. Thus, assessing the severity and progression of symptoms via remote monitoring and testing of the subject outside of a clinic environment as described herein provides advantages in cost, ease of monitoring and convenience to the subject. Systems, methods and devices according to the present disclosure provide a diagnostic for assessing of the distal hypotonia of a subject having a muscular disability, in particular SMA by active testing of the subject.

The present disclosure provides systems and methods relating to neuromodulation. In particular, the present disclosure provides systems and methods for evaluating the efficacy of neuromodulation therapy using evoked potential (EPs). The systems and methods disclosed herein facilitate the evaluation of both parameter-dependent and system-dependent changes in EPs as indicators of therapeutic efficacy.

One embodiment provides a system controller circuitry for mitigating a neurophysiological disorder. The system controller circuitry includes an optimization module, a feedback control module, and a model update module. The optimization module is configured to predict a sequence of control inputs based, at least in part, on a fractional order model of a neurophysiological system. A duration of the predicted sequence of control inputs corresponds to a prediction horizon. The feedback control module is configured to provide at least a portion of the sequence of control inputs to the neurophysiological system based, at least in part, on a current state of the neurophysiological system. A duration of the at least a portion corresponds to a control horizon. The model update module is configured to update one or more of a model parameter and/or an objective function parameter at an update interval, based, at least in part, on a recent state of the neurophysiological 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.

A method is provided for processing a neural measurement obtained in the presence of noise, in order to detect whether a locally evoked neural response is present in the neural measurement. A first neural measurement is obtained from a first sense electrode. A second neural measurement is contemporaneously obtained from a second sense electrode spaced apart from the first electrode along a neural pathway of the neural response. A neural response decay is determined, being a measure of the decay in the neural response from the first sense electrode to the second sense electrode. A ratio of the neural response decay to an amplitude normalising term is calculated. From the ratio it is determined whether a locally evoked neural response is present in the neural measurement.