A61M21/00

System and method for detecting motion sickness

In order to help reduce the effects of motion sickness, there is provided a method for reducing motion sickness in a subject which comprises acquiring a sequence of video images, extracting measurements of a heart-rate of the subject over a first period of time from the sequence of video images using photoplethysmography (PPG), calculating at least one trend in the measurements, determining a presence of motion sickness when the at least one trend is positive over a first time window, the first time window being included in the first period of time, and generating an event arranged to generate a corrective action. It is often possible to detect the onset of motion sickness before the subject actually feels the symptoms. Indeed, by the time the symptoms appear, corrective action is much less effective. Therefore, by detecting the onset early and alerting the subject so that they can react, it is possible to avoid the attack of motion sickness or, at least, reduce significantly its effects.

Multifunction sleep training device with remote locking mechanism and methods of operation thereof

A sleep training device is disclosed comprising certain electronic components, audio components, light-emitting diodes (LEDs), physical switches, a capacitive touch component, or a combination thereof. The sleep training device can have a housing configured to house the electronic components, the audio components, the LEDs, the capacitive touch component, and at least part of the physical switches. The sleep training device can receive an instruction to schedule a sleep program based on a set parameter from another device in wireless communication with the sleep training device, initiate the sleep program once the set parameter is met, and disable at least one of the physical switches and the capacitive touch component when the sleep program is initiated.

Multifunction sleep training device with remote locking mechanism and methods of operation thereof

A sleep training device is disclosed comprising certain electronic components, audio components, light-emitting diodes (LEDs), physical switches, a capacitive touch component, or a combination thereof. The sleep training device can have a housing configured to house the electronic components, the audio components, the LEDs, the capacitive touch component, and at least part of the physical switches. The sleep training device can receive an instruction to schedule a sleep program based on a set parameter from another device in wireless communication with the sleep training device, initiate the sleep program once the set parameter is met, and disable at least one of the physical switches and the capacitive touch component when the sleep program is initiated.

Sleep assessment system, massage system, control method, and electronic device
11529096 · 2022-12-20 · ·

A sleep assessment system includes a blood flow measurement unit and a assessment unit. The blood flow measurement unit acquires first information related to the blood flow of the user. The assessment unit determines the sleep stage of the user based on the first biological information.

Sleep assessment system, massage system, control method, and electronic device
11529096 · 2022-12-20 · ·

A sleep assessment system includes a blood flow measurement unit and a assessment unit. The blood flow measurement unit acquires first information related to the blood flow of the user. The assessment unit determines the sleep stage of the user based on the first biological information.

COGNITIVE PLATFORM FOR DERIVING EFFORT METRIC FOR OPTIMIZING COGNITIVE TREATMENT

Adaptive modification and presentment of user interface elements in a computerized therapeutic treatment regimen. Embodiments of the present disclosure provide for non-linear computational analysis of cData and nData derived from user interactions with a mobile electronic device executing an instance of a computerized therapeutic treatment regimen. The cData and nData may be computed according to one or more artificial neural network or deep learning technique to derive patterns between computerized stimuli or interactions and sensor data. Patterns derived from analysis of the cData and nData may be used to define an effort metric associated with user input patterns in response to the computerized stimuli or interactions being indicative of a measure of user engagement or effort. A computational model or rules engine may be applied to adapt, modify, configure or present one or more graphical user interface elements in a subsequent instance of the computerized therapeutic treatment regimen.

Virtual reality apparatus and methods therefor

Virtual reality apparatus, and various methods therefor.

Audio assessment for analyzing sleep trends using machine learning techniques
11523771 · 2022-12-13 · ·

A computer system for assessing sound to analyze a user's sleep includes a processor configured to perform operations including: (i) storing sample sound data associated with a plurality of sample sleep events, the sample sound data including a plurality of sample characteristics each respectively associated with at least one sample sleep event of the plurality of sample sleep events; (ii) receiving, from a client device, subject sound data collected during a sleep interval; (iii) analyzing, using a machine learning algorithm, the subject sound data collected during the sleep interval; (iv) identifying, based upon the analyzing, a subject characteristic associated with the subject sound data; (v) comparing the subject characteristic with the plurality of sample characteristics; and (vi) determining, based upon the comparing, whether the subject characteristic substantially matches at least one sample characteristic to identify one or more subject sleep events occurring during the sleep interval.

Method for delivering a digital therapy responsive to a user's physiological state at a sensory immersion vessel
11527318 · 2022-12-13 · ·

One variation of a method for delivering a digital medicine experience to a user includes: loading the digital medicine experience at a sensory immersion vessel; calculating a target value of a bioindicator of the physiological state of the user, the target value of the bioindicator corresponding to a target physiological state of the user; at an initial time, rendering sensory representations of a set of elements in a multi-sensory virtual environment within the sensory immersion vessel at an initial progression rate; at a time during the digital medicine experience, succeeding the initial time, measuring a value of the bioindicator; calculating a progression rate through the digital medicine experience based on a difference between the value of the bioindicator and the target value of the bioindicator; and at a second time succeeding the time, rendering sensory representations of the set of elements in the multi-sensory virtual environment at the progression rate.

Bone conduction apparatus
11528547 · 2022-12-13 · ·

A device for providing vestibular and somatosensory stimulation through bone conduction of sound waves to skeletal bones is provided in the form of a pad that is applied to or wrapped around the individual in treatment, which is comfortable in use and may contain particulate filler material capable of providing bone conduction stimulation adjacent to the location of a bone conduction transducer and expand the sound conduction site over a larger area. The device may be located beneath a pillow or mattress.