44 results about "Sommeil paradoxal" patented technology

A method for operating a sleep phase actigraphy synchronized alarm clock that communicates with a remote sleep database, such as an internet server database, and compares user physiological parameters, sleep settings, and actigraphy data with a large database that may include data collected from a large number of other users with similar physiological parameters, sleep settings, and actigraphy data. The remote server may use “black box” analysis approach by running supervised learning algorithms to analyze the database, producing sleep phase correction data which can be uploaded to the alarm clock, and be used by the alarm clock to further improve its REM sleep phase prediction accuracy.

Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor may access sensor data signals related to bodily movement and respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include variability of respiration rate or variability of respiration amplitude. A processor may then determine a sleep stage based on a combination bodily movement and respiration variability. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).

Compositions, kits, methods, and systems to induce, maintain, monitor, and interpret a continuous, un-fragmented REM sleep state in humans, generate dreams, recover sleep, create brain neuronal plasticity and activate the brain for cognition enhancement and mood stabilization are described. If potentially combined with other medications, a platform is provided to develop new research and therapies in many fields treating the human brain. The procedure reliably and quickly generates a Continuous REM Sleep cycle of pre-determined time or indefinite duration depending on therapeutic goals, allowing the patient to experience a qualitatively superior dream sleep in a shortened period of time compared to a natural sleep cycle. Profuse positive (pleasant) dreams are produced as well. REM sleep, dreams and sleep recovery can be reliably generated, and various sleep, psychological and neurological illnesses and disorders can be treated or prevented either solely by this method or in combination with additional agents.

Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor (100) may access sensor data signals related to bodily movement and/or respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include one or more of variability of respiration rate and variability of respiration amplitude. A processor may then determine a sleep stage based on one or more of respiration variability and bodily movement, such as with a combination of both. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress).

A system and method determines from EEG signals the lack of awareness and the depth of anesthesia of a patient to whom an anesthetic agent is being administered. In particular, a log-log representation of the EEG power spectrum is converted to two intersecting lines so that the intersection point and the relative slopes can be analyzed to determine a state of awareness of a patient. This system and method may also be used in an analysis of the brain function of a sleeping individual to distinguish between different levels of non-REM sleep, REM sleep, and awakeness.

A diaphragm pacing stimulatory method and a system to implement the method are provided to improve respiratory function and the quality of sleep in patients whose sleep is compromised by poor respiration. The diaphragm pacing method includes adaptations that make it particularly compatible with the onset of sleep and sustaining sleep. Embodiments of the method are operated independently of breathing effort the patient may make during sleep. Patients for whom the invention is appropriate include those with a neuromuscular disease, such as amyotrophic lateral sclerosis (ALS). System elements include an external electrical stimulator coupled to one or more implanted electrodes that stimulate diaphragm contraction. The system and method provide for a pacing of the diaphragm, improved breathing, and improved sleep. Features of improved sleep include longer sleep time, an increased amount of REM sleep, and fewer episodes of wakefulness and restlessness.

An eyelid position sensor system and/or an eye movement sensor system for an ophthalmic lens having an electronic system is described herein for recording data associated with sleep of the wearer. The eyelid position sensor system is part of an electronic system incorporated into the ophthalmic lens. The electronic system in at least one embodiment includes a system controller and a data manager. In at least one embodiment, the eyelid position sensor system is utilized to determine eyelid position and the eye movement sensor system is utilized to determine eye position for the system controller to determine if the wearer is awake, asleep, or in REM sleep.

An embodiment of the invention provides a sleep stage determining method and a sleep stage determining system. The sleep stage determining method includes: determining a first electrocardio characteristic parameter of an electrocardio signal, and determining whether a sleeper is in a waking stage or an REM (rapid eye movements) sleep stage or not within a time segment by means of judging whether the first electrocardio characteristic parameter satisfies a characteristic of the waking stage or the REM sleep stage or not within the time segment. Determination of a macro sleep structure is achieved by means of distinguishing the waking stage, the REM sleep stage or other similar sleep stages. Sleep stage determination is achieved by means of rule judgment, and accordingly, accuracy of sleep stage determination is guaranteed. Moreover, a sleep stage classifier can be used cooperatively to achieve comprehensive judgment on the sleep stages and can be used for classifying other kinds of sleep stages into a light sleep stage and a deep sleep stage so as to achieve a micro sleep structure, and accordingly, accuracy of sleep stage judgment is further improved.

A dream detection system includes a mask and a control unit. The mask includes opaque eye portions and at least one sensor for detecting REM sleep. The mask may include an alarm for indicating REM sleep, a speaker, and a transmitter. The control unit includes a receiver and transmitter for receiving data from and transmitting data to the mask, respectively. The control unit includes programming for actuating an audio player to provide a predetermined cue, script, or other audible message to the mask when REM sleep is detected for alerting a sleeping person that he is dreaming and enabling the person to gain some level of control over the dream sequence. The audible message may be a morning or evening affirmation, preparation for a task, or other cues to guide a dream. The control unit may include a device with which a user may audibly record dream details.

A physiological sensor apparatus comprises a physiological sensor, a headband and an eye mask. In one example, the physiological sensor includes a plurality of electroencephalography (EEG) electrodes that are used to sense a signal indicative of a sleep stage (e.g., REM sleep or non-REM sleep) of a user. Each end of the headband attaches to respective ends of the sensor and eye mask such that when the sensor is disposed on the forehead of the user, the eye mask shields the eyes of the user from visible light. The diameter of the headband is adjustable by the user to secure the sensor to the forehead of the user. The sensor accurately determines the sleep stages of the user over a period of sleep of the user because the adjustable headband and eye mask prevent the electrodes from being displaced from the forehead of the user during the period of sleep.

The invention discloses a sleep state analysis method. REM (Rapid Eyes Movement) sleep can be recognized via body movement information in combination with vegetative nerve balance analysis. Thus, the objective sleep quality of a patient is further evaluated more accurately via awakening, stable or instable sleep and REM sleep conditions.

Disclosed is a novel use of rice, rice bran or rice hull extract as a histamine receptor antagonist. The rice, rice bran or rice hull extract may be used as a natural antihistamine to prevent or treat allergic rhinitis, inflammatory bowel disease, asthma, bronchitis, nausea, gastric and duodenal ulcer, gastroesophageal reflux disease, sleep disorder, anxiety and depression. It provides comparable or better effect of decreasing sleep latency, increasing sleep duration and increasing non-REM sleep as compared to diazepam, which is currently used as sleeping drug. Derived from the natural product rice, rice bran or rice hull, it has no side effect such as cognitive impairment, resistance or dependency even after long-term use.

In a method and a device for trending and prediction of monitored conditions or diseases, an REM sleep detector is provided to allow data collected during REM sleep to be separated from other data so stable and uniform conditions for data collection are achieved. The REM sleep detector can advantageously be provided inside an implantable medical device.