A step of extracting components of one or more frequency bands from a first section of an EEG; a step of calculating a first index for each of the components of one or more frequency bands, wherein the first index is calculated based on a degree to which a magnitude of each of the components of one or more frequency bands with respect to a magnitude of a predetermined reference component in the first section exceeds a predetermined threshold value; a step of calculating a probability value for each of one or more patient statuses from the first index for each of the components of one or more frequency bands using a trained artificial neural network; and a step of determining the consciousness level of the patient based on the probability value for each of the one or more calculated patient statuses.

Described herein are methods, devices, and systems that use electrogram (EGM) or electrocardiogram (ECG) data for sleep apnea detection. An apparatus and method detect potential apnea events (an apnea or hypopnea event) using a signal indicative of cardiac electrical activity of a patient's heart, such as an EGM or ECG. Variations in one or more morphological or temporal features of the signal over several cardiac cycles are determined and used to detect a potential apnea event in a measurement period. Checks can then be made for a number of factors which could result in a false detection of an apnea event and if such factors are not present, an apnea event is recorded. Described herein are also methods, devices, and systems for classifying a patient as being asleep or awake, which can be used to selectively enable and disable sleep apnea detection monitoring, as well as in other manners.

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.

This invention relates to a wearable networking and activity monitoring device. According to the invention there is provided a wearable networking and activity monitoring device comprising a wearable garment, electronic circuitry comprising at least one conductive member integrally formed with the wearable garment and a network router attached to the garment, the network router configured to operatively broadcast a wireless local area network around the garment enabling a user to connect multiple mobile devices to the Internet via the wireless local area network. The wearable networking and activity monitoring device further comprising a power supply means, which is electrically coupled to the mobile network router through the electronic circuitry and allows the user of the garment to charge the mobile device, and an activity monitoring device embedded in the garment and operable to monitor activity and physiological information of the user.

This invention relates to a wearable networking and activity monitoring device. According to the invention there is provided a wearable networking and activity monitoring device comprising a wearable garment, electronic circuitry comprising at least one conductive member integrally formed with the wearable garment and a network router attached to the garment, the network router configured to operatively broadcast a wireless local area network around the garment enabling a user to connect multiple mobile devices to the Internet via the wireless local area network. The wearable networking and activity monitoring device further comprising a power supply means, which is electrically coupled to the mobile network router through the electronic circuitry and allows the user of the garment to charge the mobile device, and an activity monitoring device embedded in the garment and operable to monitor activity and physiological information of the user.

There is disclosed a wearable device that receives electrical signals from a user, wherein the wearable device is in direct contact with skin of the user, the wearable device comprising a plurality of electrodes that, when in operation, makes electrical contact with skin of the user to detect electrical signals therefrom. The wearable device comprises a mechanism that scales the wearable device with shape of a point of contact on which the wearable device is worn for appropriate positioning of the plurality of electrodes.

A motion analytics system has a therapy boot, a camera for capturing motion of the therapy boot, and an external computing device communicatively coupled to the camera and the therapy boot. The therapy boot includes a foot portion, a shank portion, and a sole portion. The shank portion is disposed adjacently above the foot portion. The sole portion is disposed under the foot portion and includes sensors configured to detect motion of a user's foot. The external computing device receives motion data from the sensors and performs a data analytics method. The method includes organizing the received data; filtering at least a portion of the organized data through a frequency-based signal processing filter to remove background noise and interference therefrom; determining analytical data associated with one or more foot factors based on the filtered data; and categorizing the determined analytical data to provide context and insight about the user's motion.

Methods, systems, and devices for assessing breathing disorders such as apneas and hypopneas are provided. An airflow monitoring device can be positioned in thermal communication with respiratory airflow (nasal and/or oral airflow). The airflow monitoring device can include a thermistor configured to measure heating and cooling cycles of respiratory airflow and determine respiratory airflow velocity from analysis of thermistor cooling. This velocity, alone or in combination with other physiological parameters, such as blood oxygen saturation, respiration effort, heart rate, body movement, etc. can be employed to assess sleep disorders.

Methods, systems, and devices for assessing breathing disorders such as apneas and hypopneas are provided. An airflow monitoring device can be positioned in thermal communication with respiratory airflow (nasal and/or oral airflow). The airflow monitoring device can include a thermistor configured to measure heating and cooling cycles of respiratory airflow and determine respiratory airflow velocity from analysis of thermistor cooling. This velocity, alone or in combination with other physiological parameters, such as blood oxygen saturation, respiration effort, heart rate, body movement, etc. can be employed to assess sleep disorders.

Described herein are systems and methods for favorably coordinating a timing relationship between a musculoskeletal activity cycle and a cardiac cycle of a user. A method may include repetitively detecting a signal that correlates to a blood volume in the user; determining an actual value of the signal that varies with the timing relationship; computing a trend of the actual value of the signal; and adjusting the movement guidance based on the trend of the actual value. A system may include a prompt device configured to provide recurrently a movement guidance to the user for guiding performance of the rhythmic musculoskeletal activity; a sensor configured to provide a signal that correlates to a blood volume in the user; and a processor configured to determine an actual value of the signal that varies with the timing relationship and to adjust the movement guidance based on the trend of the actual value.