Intraoral appliances are disclosed that provide electrical stimulation to tissue in a patient's oral cavity in a manner that reduces apnea events during sleep. A representative appliance can induce a current or currents through tissue and/or anatomical structures in a manner that maintains upper airway tone and/or patency.

A personal exhaled air removal (PEAR) system for removing/evacuating exhaled air from a vicinity of a patient is designed to remove the exhaled air during an exhalation cycle of a patient. The system is synchronized with a patient's breathing cycle for activating suction of exhaled air via at least one suction inlet, and the suction inlet is adjacent to the patient, possibly attached to the patient via an interface.

Vision-based stimulus monitoring and response systems and methods are presented, wherein detection, via image(s) of a patient through an external stimulus, such as a caregiver, prompts analysis of the response of the patient, via secondary patient sensors or via analysis of patient image(s), to determine an autonomic nervous system (ANS) state.

A self-adaptive multi-scale respiratory monitoring method based on a camera, relates to the technical field of video image signal identification processing, in order to solve the defect that the local optimal respiratory signal and the global optimal respiratory signal cannot be acquired by single image scale, a method was provided: (1) acquiring a respiratory monitoring object in real time;(2) performing multi-scale regular pre-segmentation on a video image, performing local respiratory signal identification and extraction on each unit area pre-segmented under each scale respectively, and defining the unit area with local respiratory signal output as a target area; and (3) comparing local respiratory signals extracted from the target area pre-segmented under each scale, determining an optimal segmentation scale, and taking a local respiratory signal extracted from the target area under the optimal segmentation scale as a monitoring respiratory signal output. The reliability is improved, and intelligent monitoring is realized.

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing splinting activity detection. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform splinting activity detection using at least one of splinting activity detection machine learning models, observed inspiration-expiration waveform pattern, and expected inspiration-expiration waveform patterns.

An apparatus is provided. A strip has first and second end sections, and a first surface and second surface. Two electrocardiographic electrodes are provided on the strip with one of the electrocardiographic electrodes provided on the first surface of the first end section of the strip and another of the electrocardiographic electrodes positioned on the first surface on the second end section of the strip. A flexible circuit is mounted to the second surface of the strip and includes a circuit trace electrically coupled to each of the electrocardiographic electrodes. A wireless transceiver is affixed on one of the first or second end sections, and a battery is positioned on one of the first or second end sections. A processor is positioned on one of the first or second end sections and is housed separate from the battery.

A vitals monitoring handcuff apparatus comprising a housing structure that is adapted to be coupled with a set of handcuffs and to contain a plurality of modules and units; a first module that is located within the housing structure and adapted to measure a wearer's heartrate via a sensor; a second module that is located within the housing structure and is adapted to measure the wearer's respiration rate via a sensor; a controller unit that is located within the housing structure, is configured to relay instructional programs to the modules and units which causes the modules and units to operate, and the controller unit receives data from the modules and inputs that data into associated algorithms that produce corresponding output signals; a communication unit that is located within the housing structure and receives the output signals from the controller unit and is adapted to relay the output signals to a user; and a rechargeable power unit located within the housing structure that is accessed by a port on an exterior of the housing structure, provides power to the vitals monitoring handcuff apparatus's other modules and units, and having a receiver which connects with an exterior power source via the port.

Embodiments herein relate to devices and methods for assessing pulmonary status using optical oxygenation sensing. In an embodiment, an oxygenation monitoring device can be included having a first optical emitter, wherein the first optical emitter can be configured to emit light at a first wavelength from 100 nanometers (nm) to 2000 nm. The oxygenation monitoring device and further include a first optical detector, wherein the first optical detector can be configured to detect incident light. The device can be configured so that emitted light from the first optical emitter propagates through a lung tissue and detected incident light can be used to determine an oxygenation status of the lung tissue. Other embodiments are also included herein.

An example method includes receiving one or more physiological signals; detecting an apnea event based on the one or more physiological signals; determining that the apnea event cannot be characterized as one of a normal, OSA (obstructive sleep apnea), CSA (central sleep apnea), or combination OSA/CSA event; and outputting an electrical stimulation as a default based on determining that the apnea event cannot be characterized as a normal event, an OSA event, a CSA event, or combination OSA/CSA events.

A patient monitor includes an acquiring section that acquires physiological information of a plurality of patients, a displaying section, a screen controller and an inputting section. The inputting section through which instructions for moving a display area for a patient are input. In accordance with instructions input through the inputting section, the screen controller executes one of processes of: interchanging a display area for a specific patient with a display area for another patient, and displaying a resulting image on the screen; deleting a display area for a specific patient from the screen; a process of moving a display area for a specific patient, and displaying a resulting image on the screen; and inserting a display area for a specific patient, and displaying a resulting image on the screen.