Patent classifications
A61B5/0878
METHOD FOR PREDICTING AROUSAL LEVEL AND AROUSAL LEVEL PREDICTION APPARATUS
An arousal level prediction apparatus and method are disclosed. The arousal level prediction apparatus obtains first biological information indicating current biological information of the user, obtains first environment information indicating a current environment around the user, and obtains living information of the user indicating an activity history of the user. The arousal level predication apparatus includes a process that calculates a first arousal level indicating a current arousal level of the user based on the first biological information, predicts a second arousal level, which is an arousal level of the user at a certain period of time later, based on the first arousal level, the first environment information and the living information, and outputs the second arousal level.
Breath analysis device
A breath analysis device into which a user exhales a breath sample is capable of venting an initial portion of the breath sample from the device, and routing a second portion of the breath sample into a disposable cartridge containing an interactant. The device may include a sensor, such as a pressure sensor, for detecting the initiation of exhalation, and may include a controller that switches a valve during the exhalation process to route a desired portion of the breath sample into the cartridge. After the exhalation process, an LED/photodiode arrangement, or another type of optical sensor, may be used to measure a color change produced by a chemical reaction in the cartridge, to thereby measure a concentration of a ketone or other analyte in the breath sample.
BREATHING BIOFEEDBACK DEVICE
Disclosed are biofeedback methods and devices suitable for providing biofeedback useful for helping a user control an own breathing, for example, to help in inducing deep breathing, and such biofeedback devices further comprising a dispenser for dispensing an inhalable substance.
Method for treating episodes of apnoea and/or hypopnea and system for detecting said episodes
A method for treating episodes of apnoea and/or hypopnea is provided. The method has the steps of: a) detecting or predicting an episode of apnoea and/or hypopnea by means of at least one sensor selected from a respiratory pressure sensor, a pulse oximeter, an acoustic sensor and/or a respiratory temperature sensor; and b) emitting an electrical signal by means of an electrical actuator connected to at least one submental nerve and/or muscle, the electrical signal having a bipolar waveform and a frequency between 5 and 100 Hz.
DEVICE FOR MEASURING A USER'S OXYGEN-CONSUMPTION
There is provided a device for measuring a user's oxygen-consumption. The device includes a tubular member with a first tapered portion through which an exhalation of air enters into the device, a second tapered portion, and a constriction between the portions thereof. The devices includes a flow sensing mechanism in communication with the first tapered portion of the tubular member. The device includes an oxygen sensor in communication with the first tapered portion of the tubular member. The device is configured such that the oxygen sensor is passively supplied a portion of the exhalation of air by means of positive or negative differential pressure referenced between the first tapered portion and at least one of ambient air and the constriction of the tubular member.
Method for predicting arousal level and arousal level prediction apparatus
A method for predicting an arousal level used by a computer of an arousal level prediction apparatus that predicts an arousal level of a user is provided. The method includes obtaining current biological information regarding the user detected by a sensor, and calculating a current arousal level of the user based on the current biological information. The method further includes obtaining current environment information indicating a current environment around the user, and predicting a future arousal level, which is an arousal level a certain period of time later, based on the current arousal level and the current environment information. Based on the predicted future arousal level, the method further issues a notification to the user, or controls an operation of a device.
BREATHING BIOFEEDBACK DEVICE
Disclosed are biofeedback methods and devices suitable for providing biofeedback useful for helping a user control an own breathing, for example, to help in inducing deep breathing, and such biofeedback devices further comprising a dispenser for dispensing an inflatable substance.
Device for measuring a user's oxygen-consumption
There is provided a device for measuring a user's oxygen-consumption. The device includes a venturi tube. The venturi tube has a first tapered portion, a second tapered portion that is more tapered compared to the first tapered portion, and a constriction between the portions thereof. The device includes at least one pressure sensor in communication with the constriction and the first tapered portion of the venturi tube. The device includes an oxygen sensor in communication with the constriction and the first tapered portion of the venturi tube.
BREATHING BIOFEEDBACK DEVICE
Disclosed are biofeedback methods and devices suitable for providing biofeedback useful for helping a user control an own breathing, for example, to help in inducing deep breathing, and such biofeedback devices further comprising a dispenser for dispensing an inhalable substance.
SYSTEM AND METHOD FOR SLEEP APNEA DETECTION, COMPUTER DEVICE AND STORAGE MEDIUM
A sleep apnea detection system and a computer device are provided. The system includes a computer device configured to obtain a respiratory signal and perform data segment division on the respiratory signal to obtain a first signal segment. The first signal segment is divided into h second signal fragments and the related respiratory fluctuation is calculated. A local threshold value of first signal segments is further obtained and a third signal segment which has duration time longer than r seconds and respiratory fluctuation lower than the related local threshold value are filtered out. The ratio of time length of the third signal segments to the time length of the respiratory signal is calculated, so that the percentage of sleep apnea is obtained. The percentage of sleep apnea is substituted into a regression model which is well trained and an apnea-hypopnea index related to the respiratory signal is obtained.