3362 results about "Sleep quality" patented technology

A sleep quality assessment approach involves collecting data based on detected physiological or non-physiological patient conditions. At least one of detecting patient conditions and collecting data is performed using an implantable device. Sleep quality may be evaluated using the collected data by an imlantable or patient-external sleep quality processor. One approach to sleep quality evaluation involves computing one or more summary metrics based on occurrences of movement disorders or breathing disorders during sleep.

A device, such as an implantable medical device (IMD) or a programming device, determines when a patient is attempting to sleep. When the device determines that the patient is attempting to sleep, the device determines values for one or more metrics that indicate the quality of a patient's sleep based on at least one physiological parameter of the patient. When the device determines that the patient is not attempting to sleep, the device periodically determines activity levels of the patient. Activity metric values may be determined based on the determined activity levels. A clinician may use sleep quality information and patient activity information presented by a programming device to, for example, evaluate the effectiveness of therapy delivered to the patient by the medical device.

A sleep management method and system for improving the quality of sleep of a user which monitors one or more objective parameters relevant to sleep quality of the user when in bed and receives from the user in waking hours via a portable device such as a mobile phone feedback from objective test data on cognitive and/or psychomotor performance.

A device, such as an implantable medical device (IMD), programming device, or other computing device determines when a patient is attempting to sleep. When the device determines that the patient is attempting to sleep, the device determines values for one or more metrics that indicate the quality of a patient's sleep based on at least one physiological parameter of the patient. When the device determines that the patient is not attempting to sleep, the device periodically determines activity levels of the patient. Activity metric values may be determined based on the determined activity levels. A clinician may use sleep quality information and patient activity information presented by a programming device to, for example, evaluate the effectiveness of therapy delivered to the patient by a medical device.

Devices, systems and methods to modify memory and/or cognitive function by delivering a sensory stimulus paired with learned material at opportune physiological periods during sleep. Described herein are systems, methods and devices to enhance a user's cognitive function in memorization and learning. A machine (e.g., a system or device) may be used to identify opportune periods of the sleep cycle and to deliver a stimulus during specific phases of the sleep cycle to facilitate or interrupt memory consolidation. The machine may record ambient sensory inputs during awake acquisition or reinforcement/relearning and replay all or an extracted form of the ambient sensory stimuli during a specified portion of the user's sleep. A stimulus may be delivered to a user to affect brain activity during sleep to modulate the phase of a user's sleep, quality of sleep, and/or quality or intensity of brain rhythms during a particular phase of sleep.

The present invention monitors and interprets physiological signals and spontaneous breathing events to detect the onset of arousal. Once the onset of arousal is determined, the present invention determines adjustments that are needed in the operation of a therapeutic device to avoid or minimize arousals. In one embodiment, the present invention includes one or more sensors which detect a patient's physiological parameters, a controller which monitors and determines the onset of arousal based on the physiological variables received from the sensor, and a therapeutic treatment device which is controlled by the controller. The sensor can be a combination of one or more devices which are able to monitor a physiological parameter that is used by the present invention to determine the onset of arousal or the onset of a sleep disorder. The sensors can be integrated into one unit or may operate independent of the others.

One aspect of the present invention relates to pharmaceutical compositions comprising a sedative agent; and melatonin or a melatonin analog, collectively referred to as “melatonin agents.” In a preferred embodiment, the sedative agent is eszopiclone. The pharmaceutical compositions of the invention are useful in the treatment of various sleep disorders. In addition, the present invention also relates to a method of treating a patient suffering from a sleep abnormality or insomnia comprising administering a therapeutically effective amount of a pharmaceutical composition of the invention.

A sleep evaluation device 1 is provided with a respiration detection unit 7 that detects changes in respiration and outputs respiration signals. CPU 6 generates six primary parameters indicating sleep states based on the respiration signals and four secondary parameters based on the primary parameters. The secondary parameters are linearly independent of one another. Evaluation unit 20 computes a sleep score indicating the degree of the quality of sleep by multiplying each of the four secondary parameters by second coefficients and totalizing results of the multiplications. Results of the evaluations are displayed on display unit 4.

A medical sleep disorder arrangement integrates into current diagnosis and treatment procedures to enable a health care professional to diagnose and treat a plurality of subjects suffering from insomnia. The arrangement may include both environmental sensors and body-worn sensors that measure the environmental conditions and the condition of the individual patient. The data may be collected and processed to measure clinically relevant attributes of sleep quality automatically. These automatically determined measures, along with the original sensor data, may be aggregated and shared remotely with the health care professional. A communication apparatus enables the healthcare professional to remotely communicate with and further assess the patient and subsequently administer the treatment. Thus, a more accurate diagnosis and more effective treatment is provided while reducing the required clinician time per patient for treatment delivery.

Systems and/or methods for assessing the sleep quality of a patient in a sleep session are provided. Data is collected from the patient and/or physician including, for example, sleep session data in the form of one or more physiological parameters of the patient indicative of the patient's sleep quality during the sleep session, a subjective evaluation of sleep quality, etc.; patient profile data; etc. A sleep quality index algorithm, which optionally may be an adaptive algorithm, is applied, taking into account some or all of the collected data. Sleep quality data may be presented to at least the patient, and it may be displayed in any suitable format (e.g., a format useful for the patient to be appraised on the progress of the treatment, a format useful for a sleep clinician to monitor progress and/or assess the effectiveness of differing treatment regimens, etc).

The invention relates to a human sleep monitoring method and system. The method and system synthesizes motion, heart rate and body temperature signals. The system comprises a core processor, a reflective type photoelectric pulse sensor, a temperature sensor, a three-axis gravity acceleration sensor and a capacitive skin contact sensor which are respectively used for measuring heart rate in real time, measuring body surface temperature in real time, detecting motion state in real time, and performing wearing identification. The human sleep monitoring system has the advantages that by synthesizing human body sign information and motion states, the system can automatically monitor the sleep state and the waking state of a user and can identify different sleep stages including shallow sleep, deep sleep and rapid-eye-movement sleep; the system further comprises a display module and a miniature motor vibrating module which are used for displaying specific sleep information and awakening the user on the basis of sleep quality; the problems that an existing sleep monitoring device cannot naturally awaken the user at an appropriate time, physical and mental health of the user is affected, and the existing sleep monitoring device is inconvenient to use are solved.

The invention discloses a user sleeping state-based household appliance control device and a user sleeping state-based household appliance control method. The device comprises a physiologic information monitor and a plurality of household appliance terminal controllers, wherein the physiologic information monitor is connected with the household appliance terminal controllers in a wireless or wired way; a physiologic information sensor for monitoring the sleeping state of a user is connected outside the physiologic information monitor; and the household appliance terminal controllers control corresponding household appliances to work. Various physiologic information parameters of the user during sleeping are acquired and monitored by the physiologic information sensor and information is mined so as to judge whether the user is asleep or awake and whether the user is at a slow eye motion (or slow wave sleep) stage or a quick eye motion (or paradoxical sleep) stage. Therefore, working states of the household appliances are controlled accurately through the household appliance terminal controllers, household appliance intellectualization is realized, the sleeping quality of the household appliance user is enhanced and the aims of saving energy and protecting the environment are fulfilled.

An embodiment of the invention is directed to a method for the real time monitoring and measurement of sleep quality of a subject comprising the steps of; obtaining information from the subject using sensory signals; analyzing the information contained within the signals using signal processing and artificial intelligence; and using the analyzed information to create a protocol to improve the sleep quality of the subject. Another embodiment of the invention is directed to a system for real time monitoring and measurement of sleep quality of a subject comprising: a means for obtaining sensory information from the subject; a means for transmitting the sensory information; a means for analyzing the sensory information; and a means for creating a protocol to improve the sleep quality of the subject.

The present invention generally relates to pharmaceutical compositions comprising a dopamine agonist and sedative agent. In a preferred embodiment, the dopamine agonist is optically pure (S)-didesmethylsibutramine. In a preferred embodiment, the sedative agent is optically pure (S)-zopiclone or optically pure (S)-N-desmethylzopiclone. In a preferred embodiment, the dopamine agonist is optically pure (S)-didesmethylsibutramine; and the sedative agent is optically pure (S)-zopiclone or optically pure (S)-N-desmethylzopiclone. The pharmaceutical compositions of the invention are useful in the treatment of restless-leg syndrome and periodic-limb-movement disorder, as well as various sleep disorders. In addition, the present invention relates to a method of treating a patient suffering from restless-leg syndrome, periodic-limb-movement disorder, a sleep abnormality, or insomnia, comprising coadministering a therapeutically effective amount of a dopamine agonist and a therapeutically effective amount of a sedative agent. In a preferred embodiment, the dopamine agonist is optically pure (S)-didesmethylsibutramine. In a preferred embodiment, the sedative agent is optically pure (S)-zopiclone or optically pure (S)-N-desmethylzopiclone. In a preferred embodiment, the dopamine agonist is optically pure (S)-didesmethylsibutramine; and the sedative agent is optically pure (S)-zopiclone or optically pure (S)-N-desmethylzopiclone.

Provided is a configuration capable of executing a detection test for a comfort level including the quality of sleep, which is measurable at home without requiring the measurement of brain waves or electrocardiogram. The respiratory waveform of a subject during sleep is continuously measured and recorded from the respiratory gas flow, etc., and is window-Fourier transformed at each measurement time to generate a frequency spectrum, and a bandwidth including a respiratory frequency is extracted. The index indicating the regularity of the respiratory period of the subject is also calculated at each time point during the sleep, and the time-dependency of this index during the sleep is represented as a graph. A medical device includes a sleep evaluation system equipped with a control means for performing control so that a sleep cycle repeated at a cycle of about 90 minutes is clearly observed if the comfort level including the quality of sleep of the subject is favorable.

The invention relates to an intelligent insomnia therapeutic instrument, aiming at providing a therapeutic instrument which can induce and regulate potential action of the sleep center of a patient so as to accelerate the falling asleep speed of the patient and improve the sleep quality or realize a natural timing awaking function. The technical proposal is as follows: the instrument comprises a signal output module generating time varying magnetic fields, a bipolar electrode brain wave acquiring module acquiring real-time brain waves of the patient and a main controller obtaining the brain waves and carrying out down-conversion or up-conversion, wherein the signal output module converts digital brain signals output by the main controller into analogue signals which are amplified so as to drive a magnetic field generator to generate time varying magnetic fields used for treating.

A method for evaluating a person for a sleep system, the method including: while the person is not positioned on an evaluating member, adjusting a pressure of a comfort layer inflatable member disposed within a comfort layer of the evaluating member to an initial comfort value; positioning the person on the evaluating member in a first position; while the person is positioned on the evaluating member in the first position, measuring a pressure of the comfort layer inflatable member as a first measured comfort value; calculating a difference between the first measured comfort value and the initial comfort value as comfort pressure 1; calculating a first optimal pressure level for the comfort layer inflatable member using comfort pressure 1; and recommending a sleep support member for the person using the calculated first optimal pressure level for the comfort layer inflatable member and using data measuring quality of sleep.

Techniques for controlling delivery of a therapy to a patient by a medical device, such as an implantable medical device (IMD), involve a sensitivity analysis of a performance metric. The performance metric may relate to efficacy or side effects of the therapy. For example, the performance metric may comprise a sleep quality metric, an activity level metric, a movement disorder metric for patients with Parkinson's disease, epilepsy, or the like. The sensitivity analysis identifies values of therapy parameters that defines a substantially maximum or minimum value of the performance metric. The identified therapy parameters are a baseline therapy parameter set, and a medical device may control delivery of the therapy based on the baseline therapy parameter set.

Described herein are therapeutic methods using progesterone and progesterone analogs to improve sleep quality. The methods may be particularly useful to treat subject with perturbed sleep patterns, such as subjects who suffer from mid-sleep period awakenings.

A method for improved visualization of information related to the physiology of a sleeping patient is disclosed. Physiological information from the patient is obtained by a device, converted to digital format, and processed to yield epochs of time based on whether the patient was in a physiologically desirable or undesirable state. The duration of epochs is plotted as a series of rectangles and a quality-of-sleep score is calculated based on the epoch lengths.