There is provided a research framework system. For example, in some implementations there is provided a sleep prediction system for pilots including a first data structure storing collected research data related to pilot sleep patterns, a second data structure storing data related to a flight schedule associated with a pilot, and a sleep prediction module configured to access the data stored in the first and second data structures and calculate, by one or more processors using the data stored in the first data structure, a likelihood that the pilot associated with the flight schedule stored in the second data structure is sleeping at a given time.

The present disclosure is in the field of sleep and respiratory care. In particular, the present disclosure provides means and methods for decreasing the respiratory effort of a sleeping subject. The present disclosure also provides means and methods for treating the snoring of a sleeping subject.

A wheel chart for visualizing sleep pressure on a person's body by manipulating a series of moveable circular disks positioned on a common axis wherein the wheel includes a first disk representing a circadian (C) process and second disk representing a homeostatic (S) process. The disks are rotatable relative to each other to simulate how the C and S processes increase and decrease sleep pressure.

Example inventions detect an occurrence of disturbance during a sleep period of a user. Examples receive data corresponding to a single parameter of the user during the sleep period, determine patterns in the data, and based on the patterns, determine a sleep disturbance severity index (“SDSI”) over the sleep period.

A device, system, and method for facilitating a sleep cycle in a subject suing a peri COVID vaccination period, comprising determining a current awake or sleep stage of a person; automatically defining a desired sleep cycle pattern, dependent on the current awake or sleep stage of the person; generating an audio or optical stimulation pattern by an automated processor; entraining brainwaves of the brain of the person with the stimulation pattern corresponding to the desired sleep cycle pattern, to thereby induce a sleep cycle in the person according to the sleep cycle pattern; and administering the SARS-Cov-2 vaccination to the person.

A sleep induction device, wherein the control unit reads a stimulation rate that is associated with a stimulation part from a storage unit, calculates a stimulation candidate by making a shift in the stimulation rate by a predetermined amount, outputs a drive signal according to the stimulation candidate, acquires a detection time from start of output of the drive signal to detection of sleep onset by the sensor, and causes the storage unit to store the stimulation candidate and the detection time as the stimulation rate and a sleep induction time, in association with the stimulation part, when the detection time is shorter than the sleep induction time.

Nocturia has been defined as the need for an individual to wake up one or more times during the night to void. Further, Nocturia detection also requires analysis of sleeping pattern of the person. In such cases a lot of assumptions are made when the person is not in bedroom during nights. A method and system for detection and validation of Nocturia in the person has been provided. The system is utilizing a statistical based analysis, a rule based analysis, a machine learning based analysis and analysis of sleeping pattern of the person to detect and validate Nocturia. The system ensures that the person is not disturbed in his/her daily activities. Further, the processes deployed in the system are completely un-supervisory in nature meaning it does not have the dependency of needing to have trained machine learning dataset.

Millimeter (mmWave) mapping systems and methods are disclosed for generating one or more point clouds and determining one or more vital signs for defining a human psychological state. A point cloud comprising point cloud data defining a person or an object detected within a physical space is generated based on one or more mmWave waveforms of an mmWave sensor. A posture of the person within the portion of the physical space is determined from the point cloud data. One or more vital signs of the person is determined based on the mmWave waveform(s). An electronic feedback is provided representing a human psychological state of the person as defined by the point cloud data and the one or more vital signs of the person.

The stress estimation device acquires the awakening degree of the subject and calculates the feature amount of the acquired awakening degree. The feature amount of the awakening degree is, for example, a ratio at which the temporal change of the awakening degree is within a predetermined range, information defining a histogram showing the distribution of the temporal change of the awakening degree, and the like. Then, the stress estimation device estimates the stress from the calculated feature amount using the stress model.

A method for trial design analysis that includes receiving, for each trial design of a plurality of trial designs, a set of simulated performance criteria for a set of trial designs, and visualizing, on a graph, values for a first simulated performance criteria and a second simulated performance criteria from the set of simulated performance criteria for each trial design using a location of points on the graph corresponding to the set of trial designs. The method further includes identifying optimal designs based on an optimality criteria using the set of the simulated performance criteria, and determining a tradeoff metric for the first simulated performance criteria and the second simulated performance criteria. The method further includes displaying, the tradeoff metric as a set of lines on the graph, wherein a slope of the lines corresponds to a value of the tradeoff metric.