An intraoral monitoring device includes a flexible substrate, a plurality of sensors, a rechargeable battery, a device module and a communication module. The plurality of sensors senses a plurality of health parameters from an associated user, in real time, to generate a plurality of sensed signals. The device module includes a memory, a controller and a segregation module. The memory stores various health parameters and their respective ranges, various health reports of the user, and basic details of all users. A controller is configured to generate sensed data and the segregation module is configured to segregate the data corresponding to the plurality of health parameters associated with the users. A communication module is configured to enable data communication to and from the intraoral device.

A nerve integrity monitoring device includes a control module and a physical layer module. The control module is configured to generate a payload request. The payload request (i) requests a data payload from a sensor in a wireless nerve integrity monitoring network, and (ii) indicates whether a stimulation probe device is to generate a stimulation pulse. The physical layer module is configured to (i) wirelessly transmit the payload request to the sensor and the stimulation probe device, or (ii) transmit the payload request to a console interface module. The physical layer module is also configured to, in response to the payload request, (i) receive the data payload from the sensor, and (ii) receive stimulation pulse information from the stimulation probe device. The data payload includes data corresponding to an evoked response of a patient. The evoked response is generated based on the stimulation pulse.

A nerve integrity monitoring device includes a control module and a physical layer module. The control module is configured to generate a payload request. The payload request (i) requests a data payload from a sensor in a wireless nerve integrity monitoring network, and (ii) indicates whether a stimulation probe device is to generate a stimulation pulse. The physical layer module is configured to (i) wirelessly transmit the payload request to the sensor and the stimulation probe device, or (ii) transmit the payload request to a console interface module. The physical layer module is also configured to, in response to the payload request, (i) receive the data payload from the sensor, and (ii) receive stimulation pulse information from the stimulation probe device. The data payload includes data corresponding to an evoked response of a patient. The evoked response is generated based on the stimulation pulse.

The present disclose generally relates to systems and methods for active titration of one or more cranial or peripheral nerve stimulators to treat obstructive sleep apnea. The active titration can be accomplished in an automated fashion by a closed-loop process. The closed-loop process can be executed by a computing device that includes a non-transitory memory storing instructions and a processor to execute the instructions to perform operations. The operations can include defining initial parameters for the one or more cranial or peripheral nerve stimulators for a patient; receiving sensor data from sensors associated with the patient based on a stimulation with the one or more cranial or peripheral stimulators programmed according to the initial parameters; and adjusting the initial parameters based on the sensor data.

The present disclose generally relates to systems and methods for active titration of one or more cranial or peripheral nerve stimulators to treat obstructive sleep apnea. The active titration can be accomplished in an automated fashion by a closed-loop process. The closed-loop process can be executed by a computing device that includes a non-transitory memory storing instructions and a processor to execute the instructions to perform operations. The operations can include defining initial parameters for the one or more cranial or peripheral nerve stimulators for a patient; receiving sensor data from sensors associated with the patient based on a stimulation with the one or more cranial or peripheral stimulators programmed according to the initial parameters; and adjusting the initial parameters based on the sensor data.

Embodiments disclosed herein relate to a garment system including at least one sensor and at least one actuator that operates responsive to sensing feedback from the at least one sensor to cause a flexible compression garment to selectively constrict or selectively dilate, thereby compressing or relieving compression against at least one body part of a subject. Such selective constriction or dilation can improve muscle functioning or joint functioning during use of motion-conducive equipment, such as an exercise bike or rowing machine.

A supply tray for a surgical procedure is selected based on the surgical procedure and patient data retrieved from an electronic health records database. Multiple steps of the surgical procedure are retrieved from the electronic health records database. A message is sent to a first manipulator to move a supply from the supply tray to a staging area for performing a step. A first indication is received from a first sensor that the supply is needed at a present time. A position where the supply is needed in an operating area proximate to the staging area is determined using a second sensor. A second message is sent to a second manipulator to move the supply from the staging area to the position. A second indication is received from a third sensor that the step is complete. A third message is sent to a third manipulator to remove the supply.

A wearable device includes a biomedical electrode that can be placed on the target living subject for measurement and that detects the bioelectric potential according to the electric current coming from the target living subject for measurement; and a detection circuit that detects biological signals from the detected bioelectric potential. The biomedical electrode includes an elastic body that has a frame member having an opening and nonconductive; and includes a conductive fiber that is placed on the surface of the elastic body and that detects the bioelectric potential according to the electric current coming from the target living subject for measurement.

A wearable device includes a biomedical electrode that can be placed on the target living subject for measurement and that detects the bioelectric potential according to the electric current coming from the target living subject for measurement; and a detection circuit that detects biological signals from the detected bioelectric potential. The biomedical electrode includes an elastic body that has a frame member having an opening and nonconductive; and includes a conductive fiber that is placed on the surface of the elastic body and that detects the bioelectric potential according to the electric current coming from the target living subject for measurement.

A method of electroencephalography (EEG) based speech recognition includes obtaining, from a microphone, an audio signal of a speaker from a first time period, obtaining, from one or more EEG sensors, EEG signals of the speaker from the first time period, obtaining, from a first model, acoustic representations based on the EEG signals, concatenating the obtained acoustic representations with an audio input based on the audio signal to obtain concatenated features, providing the concatenated features to an automatic speech recognition model (ASR) and obtaining, from the ASR model, a text-based output.