Abstract: A surgical retractor assembly and related attachments are provided to assist in surgical procedures. The surgical retractor provides for increased flexibility and ease of assembly. The surgical retractor may, for example, comprise two frame segments configured so that they may be coupled together using a connector that allows one frame segment to be vertically positioned above a second frame segment and lowered onto the second frame segment so that a top surface of the second frame segment is received within a connector channel. The frame segments may thus be coupled together to form an adjustable frame.

Abstract: A method of monitoring a patient for seizure activity may include monitoring the patient by collecting an electromyography signal, determining features of the signal using wavelet analysis and inputting determined feature values into a neural network trained to detect seizure activity. Related apparatuses are also described.

Abstract: Systems and methods are described for detecting and characterizing seizures or seizure-related events. The methods herein may include determining magnitude and/or scaled magnitude data for each of at least one high and low frequency group of signals. Based on the determined magnitudes and/or scaled magnitude data, seizures or seizure-related events may be characterized.

Abstract: Methods and apparatuses for detecting and characterizing seizures are described. In some embodiments, the methods and apparatuses include collecting an electrical signal from one or more electrodes disposed on the head or scalp of a patient and processing the electrical signal to determine the dynamics of a seizure event.

Abstract: A method of monitoring a patient for seizure activity may include detecting portions of elevated electromyography signal amplitude and analyzing whether the elevations meet one or characteristics of either an epileptic seizure or non-epileptic psychogenic event.

Abstract: Apparatuses and methods for monitoring a patient for seizure activity and for verifying the contact integrity of electrodes included among an EMG sensor may include generating a test signal of known periodicity and applying the signal to at least one electrode in a sensor system. The test signal may be monitored to verify contact integrity of the electrodes.

Abstract: Methods and apparatuses for detecting and characterizing seizures are described. In some embodiments, the methods and apparatuses include collecting an EEG signal and selecting or filtering the signal in order to increase a prevalence of a part of said EEG signal derived from activation of muscle. In some embodiments, one or more EEG signals may be analyzed with one or more algorithms designed to detect muscle components of the signal in order to perform seizure semiology and/or to differentiate detected seizures based on type.

Abstract: Methods are described herein for adjusting characteristics of signals used to verify or track the reliability of communication between a remote sensor and a managing device. For example, an exchange rate of signals sent between the remote sensor and managing device may be adjusted to minimize power consumption when the devices are determined to be reliably communicating. In some embodiments, apparatuses and methods herein may further be configured to inform an individual of when a remote sensor approaches a physical boundary, moves out of a communication range, is turned off, becomes damaged, or otherwise has or may become incapable of proper or reliable communication.

Abstract: Apparatuses and methods for monitoring a patient for seizure activity and for verifying the contact integrity of electrodes included among an EMG sensor may include generating a test signal of known periodicity and applying the signal to at least one electrode in a sensor system. The test signal may be monitored to verify contact integrity of the electrodes.

Abstract: A method and apparatus for monitoring a patient for seizure activity including collecting and processing EMG signal data and categorizing the detected data to execute risk stratification. A transmission protocol that is tailored for detected events may be selected and executed.

Abstract: Patients afflicted by a seizure may be monitored for the presence of post-ictal motor manifestations that may indicate that the patient is at heightened risk of adverse effects of a seizure, including, for example, risk of sudden explained death in epilepsy. If the patient is deemed to be at risk of experiencing adverse effects of a seizure, one or more system responses may be initiated as appropriate for the at-risk patient.

Abstract: A method of reviewing medical data for a patient susceptible to seizure activity may include monitoring the patient using electromyography electrodes and acoustic sensors. Data may be collected and organized for review and analysis by processing of the data to facilitate graphing of electromyography data and enabling a user to play an audio recording of detected sounds.

Abstract: Methods and systems are described for detecting and classifying seizure-related events. In some embodiments, the methods and systems herein may include adjustment of one or more threshold settings used for seizure detection in order to improve sensitivity and/or battery performance of a mobile EMG detection unit.

Abstract: A method of monitoring a patient for seizure activity may include monitoring the patient by collecting an electromyography signal, determining features of the signal using wavelet analysis and inputting determined feature values into a neural network trained to detect seizure activity. Related apparatuses are also described.

Abstract: A system for monitoring a patient for seizure activity may include one or more detection units. The detection units may include one or more electromyography sensors configured to evaluate a patient for seizure activity. The detection units may further include one or more sensors configured to detect an orientation of the patient and/or when a sensor is bearing a portion of the patient's weight or otherwise pressed against the patient. In some embodiments, methods of detection may include adjusting an algorithm for seizure detection based on a recognition of whether a muscle is constrained or whether the muscle is free to move.

Abstract: A method of monitoring a patient for seizure activity may include detecting portions of elevated electromyography signal amplitude and analyzing whether the elevations meet one or characteristics of either an epileptic seizure or non-epileptic psychogenic event.

Abstract: Methods and apparatuses are described for qualifying peaks included among a collected EMG signal and include methods where various test groupings of peaks may be constructed from among a group of peaks. Methods and apparatuses herein may facilitate identification of patterns of abnormal motor manifestation, initiation of alarms if those patterns are identified, and the organization of data for inclusion in a searchable medical database.

Abstract: A method and apparatus for detecting seizures with motor manifestations including detecting EMG signals, isolating from the EMG signals spectral data for a plurality of frequency bands, and calculating a T-squared value there from. The T-squared values may be detected in real time, such as in a patient's home environment, and the T-squared data may be compared to a threshold T-squared value to determine whether an alarm is sent.