A system and method includes (i) providing patient data stored in a data repository, (ii) applying a first patient identification algorithm to the patient data to identify an initial group of individuals associated with select physical and health characteristics, (iii) applying a second patient identification algorithm to the patient data associated with the initial group of individuals to identify a narrower subgroup associated with select behavioral characteristics, and (iv) generating patient identifiable information from the patient data to allow for notification. The identification of the initial group is based on a determined likelihood of obstructive sleep apnea (OSA) for individuals meeting or exceeding a first threshold criteria. The identification of the narrower group is based on a determined likelihood of long-term adherence to OSA treatment for individuals meeting or exceeding a second threshold criteria. The notification is of designated entities that one or more of the individuals in the narrower subgroup are preferred individuals for OSA.

Methods and systems for treating sleep apnea using electrical stimulation to a patient's upper and/or lower respiratory nerve or muscle are described. A stimulation regimen can be used to achieve upper airway patency and/or rhythmic air flow in a coordinated fashion during sleep. In some cases, diaphragm activity is monitored to determine whether sufficient upper airway patency and/or rhythmic air flow is achieved and maintained. The stimulation regimen may be adjusted based on the diaphragm activity. In some cases, the system includes modularized components so that the components can be customized to an individual's needs.

A method includes receiving data associated with a sleep session of a user. The method also includes determining that the user is experiencing or has experienced an event based at least in part on the data. The method also includes causing pressurized air to be directed from a respiratory device to a multi-compartment bladder in response to determining that the user is experiencing or has experienced the event to aid in modifying a position of a head of the user.

Methods and systems implement a variety of sensors, including in embodiments various combinations of EEG sensors, biochemical sensors, photoplethysmography (PPG) sensors, microphones, and accelerometers, to detect, predict, and/or classify various physiological events and/or conditions related to epilepsy, sleep apnea, and/or vestibular disorders. The events can include neuroelectrical events, cardiac events, and/or pulmonary events, among others. In some cases, the method and systems implement trained artificial intelligence (AI) models to detect, classify, and/or predict. The methods and systems are also capable of optimizing a treatment window, suggesting treatments that may improve the overall well-being of the patient (including improving pre- or post-event symptoms and effects), and/or interacting with various care providers.

According to an aspect, there is provided a computer-implemented method for determining a heart rate of a subject, the method comprising: receiving data representing a signal generated by a pressure sensor configured to be placed on a suprasternal notch of a subject, the data representing a first component of the signal comprising respiratory information associated with the subject and/or a second component of the signal comprising cardiac information associated with the subject; determining, by applying a first algorithm to the data, a respiration parameter of the subject; applying at least one filter to the data to obtain first filtered data, the at least one filter comprising a first filter to attenuate the first component of the signal in the data based on the determined respiration parameter; and determining a heart rate of the subject by applying a second algorithm to the first filtered data.

Devices, systems, and methods for monitoring respiration using surface temperature, humidity, air pressure, carbon dioxide gas sensors, pulse oximetry sensors and electromyography sensors, and/or acceleration sensors to obtain information related to respiration rate (RR), exhalation/inhalation strength, exhalation/inhalation volume, exhalation/inhalation acceleration, and/or exhalation/inhalation regularity.

Apnea events may be detected based on a primary biomarker, e.g., respiration, in the one or more physiological signals. The apnea events may be characterized as one of an obstructive sleep apnea (OSA) event, a central sleep apnea (CSA) event, or a combination OSA/CSA event based on a secondary biomarker, e.g., a frequency spectrum or a morphology of the respirations in the one or more physiological signals. A first electrical stimulation may be provided to treat OSA in response to a first one or more of the apnea events being characterized as OSA events. A second electrical stimulation may be provided to treat CSA in response to a second one or more of apnea events being characterized as CSA events. A third electrical stimulation may be provided to treat combination OSA/CSA in response to a third one or more of the apnea events being characterized as combination OSA/CSA events.

A respiratory status examination apparatus and method, and a sleep disorder control device and method are proposed. The apparatus may include at least one image capturing unit that is movably arranged to adjust a distance with respect to a subject and configured to obtain a thermal image by photographing the subject. The apparatus may also include a motion sensor unit configured to detect a motion of the subject to generate motion information, and a temperature information extracting unit configured to specify at least one examination region from the thermal image obtained by the image capturing unit and extract temperature information from the examination region. The apparatus may further include a respiratory status examining unit configured to determine a respiratory status of the subject based on the temperature information extracted by the temperature information extracting unit and the motion information generated by the motion sensor unit.

A stimulation system for delivery of a stimulation signal to a hypoglossal nerve of a patient to treat obstructive sleep apnea. The stimulation system includes an implantable receiver coil configured to be implanted under a mandible of the patient; a nerve electrode coupled to the implantable receiver coil, the nerve electrode configured to deliver the stimulation signal to the hypoglossal nerve of the patient; an external pulse generator configured to generate the stimulation signal; and an external transmitter coil configured to wirelessly transmit the stimulation signal from the external pulse generator to the implantable receiver coil, the external transmitter coil being carried by an adhesive patch configured to be placed on the skin adjacent the implantable receiver coil under the mandible of the patient.

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.