56 results about "Sleep study" patented technology

A system for predicting risk for perioperative complications is described including a user device for receiving a set of risk factors to determine perioperative complications for a patient including patient data useful to determine the likelihood of obstructive sleep apnea. The system also includes an acquisition module to receive data from an obstructive sleep apnea sleep study of the patient. Further a determination module can determine the severity of obstructive sleep apnea for the patient. The system can also include an analysis module having a predictive model that incorporates one or more prediction equations for predicting perioperative complications derived from one or more databases having multiple patient data relevant to predict perioperative complications. The analysis module can be configured to apply the one or more prediction equations to the set of risk factors and the severity of obstructive sleep apnea for the patient in order to identify perioperative complication risks of that patient and to generate a perioperative complications report for the patient.

What is disclosed is a system and method for estimating minute ventilation by analyzing distortions in reflections of structured illumination patterns captured in a video of a thoracic region of a subject of interest being monitored for respiratory function. Measurement readings can be acquired in a few seconds under a diverse set of lighting conditions and provide a non-contact approach to patient respiratory function that is particularly useful for infant care in an intensive care unit (ICU), sleep studies, and can aid in the early detection of sudden deterioration of physiological conditions due to detectable changes in chest volume. The systems and methods disclosed herein provide an effective tool for non-contact minute ventilation estimation and respiratory function analysis.

Systems, methods and devices for diagnosing sleep apnea are provided herein. In one example, a device for detecting airway obstructions may be provided where the device may include a wearable hollow nasal tube to be positioned in an upper airway above a constriction point and an end imaging sensor coupled to the nasal tube to collect airway image data. The device further may include a controller and communication interface to communicatively link and relay airway image data to a select remote device to determine airway obstructions. In some examples, a method may be provided including receiving airway image data from a remote end imaging sensor coupled to a nasal tube disposed within an upper airway above a constriction point, and analyzing the airway image data and displaying in a sleep study report the airway image data to identify airway closures related to obstructive sleep apnea.

The invention discloses an obstructive sleep apnea-hypopnea syndrome (OSAHS) patient preliminary screening system. The preliminary screening system comprises a singlechip microcomputer, a computer, a mouth-nose airflow monitoring module, a thoracoabdominal respiratory movement monitoring module and a blood oxygen and heart rate monitoring module, wherein the mouth-nose airflow monitoring module, the thoracoabdominal respiratory movement monitoring module and the blood oxygen and heart rate monitoring module are connected with the singlechip microcomputer in a wired or wireless manner; and the singlechip microcomputer is connected with the computer in the wired or wireless manner. A sleep monitoring system comprises three core sleep monitoring modules of mouth-nose airflow monitoring, thoracoabdominal respiratory movement monitoring and blood oxygen and heart rate monitoring and is utilized to preliminarily screen out OSAHS patients from sleep breathing disorder diseases, on the one hand, more scientific monitoring data is obtained, and on the other hand, the number of sensors on patients can be reduced to the maximum extent; and moreover, the system monitors the patients in natural sleep states at home, and the obtained data is relatively in accordance with the practical sleep states of the patients in daily lives. Particularly, after a video / audio module is arranged, the preliminary screening system can more vividly show the apnea and labored breathing symptoms of the sleeping patients, and warns the patients to get treatment in a specialized sleep hospital in time.

The invention discloses an intelligent sleep monitoring system which comprises a sleep monitoring magnetic snap and a sleep management terminal. The sleep monitoring magnetic snap and the sleep management terminal are connected with each other through Bluetooth or WIFI; the sleep monitoring magnetic snap is provided with a shell, and a body movement monitoring sensing unit, a signal collecting unit, a central processing unit and a data transmission unit are installed in the shell and are electrically connected with one another. The sleep monitoring magnetic snap and the sleep management terminal are designed, a three-axis acceleration sensor based on the MEMS technology is arranged in the sleep monitoring magnetic snap, and thus the change of body movement information and body position information during sleep of a user is sensed. A calculation model associated with sleep state related indexes is obtained according to the analysis of massive test data; the sleep management terminal detects the body movement state of the user (whether the user turns over or gets up or leaves a bed or the like) based on software, estimates the sleep state of the user (deep sleep or light sleep or no sleep) and the duration of each sleep state and provides a sleep score and a sleep report.

A system for predicting risk for perioperative complications is described including a user device for receiving a set of risk factors to determine perioperative complications for a patient including patient data useful to determine the likelihood of obstructive sleep apnea. The system also includes an acquisition module to receive data from an obstructive sleep apnea sleep study of the patient. Further a determination module can determine the severity of obstructive sleep apnea for the patient. The system can also include an analysis module having a predictive model that incorporates one or more prediction equations for predicting perioperative complications derived from one or more databases having multiple patient data relevant to predict perioperative complications. The analysis module can be configured to apply the one or more prediction equations to the set of risk factors and the severity of obstructive sleep apnea for the patient in order to identify perioperative complication risks of that patient and to generate a perioperative complications report for the patient.

Systems and methods are provided for optimizing the treatment of obstructive sleep apnea (OSA) using an oral appliance. The oral appliance can be configured by non-dental staff to safely conform to the dentition of a patient. The appliance includes configurable trays that include retention material that conforms to the dentition of the patient. The position of the upper and lower trays relative to one another can be adjusted both horizontally and vertically. The position of the upper and lower trays can be locked into place to maintain the position of the trays at a preferred treatment position. Methods for creating an appliance customized for a patient are also provided. Methods for using the customized appliance in combination with sleep study data is also provide.; Methods for using the customized appliance to with pre-operative assessments and sleep study data to predict and reduce the risk of perioperative complications are also provided.

A multi sensor module especially designed for use in sleep-study applications includes a PVDF film piezoelectric transducer enclosed between an upper layer of a single-sided adhesive tape strip and a lower layer of a double-sided adhesive tape strip. Also adhesively affixed to the upper single-sided adhesive tape strip, but not overlaid by the lower double-sided adhesive tape strip are first and second conductive electrodes. The combination sensor module is adapted to be adhesively affixed to the chest area of a person and further included in an extension of the PVDF strip that is adapted to overlay the suprasternal notch of a person for producing signals responsive to respiratory activity of the person.

A home screening method for assessing whether a person is in need of a full sleep study in a sleep lab or is in need of immediate treatment for apnea and / or hypopnea. In carrying out the method, a screening service company provides a customer with a PVDF air flow sensor and an electronics module that connects to the sensor for filtering the sensor analog waveform due to temperature changes upon inspiration and expiration and due to mechanical stress due to snoring. The filtered signals are converted to a digital representation and stored during a period of sleep. The electronics module is then returned to the screening service where the stored information is analyzed in accordance with a program run on a host computer to identify the type, frequency, duration of detected events. The program further generates a report with recommendations for further action.

What is disclosed is a system and method for estimating minute ventilation by analyzing distortions in reflections of structured illumination patterns captured in a video of a thoracic region of a subject of interest being monitored for respiratory function. Measurement readings can be acquired in a few seconds under a diverse set of lighting conditions and provide a non-contact approach to patient respiratory function that is particularly useful for infant care in an intensive care unit (ICU), sleep studies, and can aid in the early detection of sudden deterioration of physiological conditions due to detectable changes in patient chest volume. The systems and methods disclosed herein provide an effective tool for minute ventilation estimation and respiratory function study and analysis in a non-contact remote sensing environment.

The present invention comprises methods for detecting, assessing, diagnosing, and pre-diagnosing sleep apnea, and for assessing the efficacy of a treatment for sleep apnea. Methods for the detection, assessment, diagnosis and pre-diagnosis (screening) of sleep apnea and the assessment of a treatment for sleep apnea according to the present invention may be performed in the absence of a sleep study. The patients subject to these methods may remain awake during their performance. The invention may be applied to other vascular conditions besides sleep apnea, wherein the sleep apnea methods described herein are example methods for the application of the present invention to the detection, assessment, diagnosis and pre-diagnosis (screening) of other vascular conditions.

The invention discloses a sleep monitoring method. The method comprises the steps of judging whether the preset sleep time is up or not; if yes, starting a sleep promoting mode; if not, keeping the lighting state; acquiring action information and sound information of the child; if the action information and the sound information of the child are not acquired at the same time, notifying a monitoring terminal that the child enters the sleep state; and opening the sleep monitoring mode. According to the sleep monitoring method, connection between the child room and the parent room can be achieved, the child is not felt or disturbed, independence of the child is not damaged, meanwhile, the sleep monitoring method is real-time and reliable for parents, the real-time situation of the child roomcan be obtained, the parents and the child can communicate with each other even if the parents and the child are not in the same room, and the sense of safety is increased for the child. The inventionfurther discloses a sleep monitoring device and a sleep monitoring system for implementing the sleep monitoring method.

Methods for diagnosing sleep apnea are provided herein. In at least one example, a method may be provided including receiving airway image data from a remote end imaging sensor coupled to a nasal tube disposed within an upper airway above a constriction point, and analyzing the airway image data and displaying in a sleep study report the airway image data to identify airway closures related to obstructive sleep apnea.

A multi sensor module especially designed for use in sleep-study applications includes a PVDF film piezoelectric transducer enclosed between an upper layer of a single-sided adhesive tape strip and a lower layer of a double-sided adhesive tape strip. Also adhesively affixed to the upper single-sided adhesive tape strip, but not overlaid by the lower double-sided adhesive tape strip are first and second conductive electrodes. The combination sensor module is adapted to be adhesively affixed to the chest area of a person and further included in an extension of the PVDF strip that is adapted to overlay the suprasternal notch of a person for producing signals responsive to respiratory activity of the person.

An apparatus and associated method for collecting data for a sleep study. The apparatus includes a sensor adapted to collect data relating to a parameter of a user of the apparatus over a period of time, and a controller operatively coupled to the sensor. The controller is adapted to: (a) receive configuration information specifying a predetermined amount of valid data that is required for a sleep study to be deemed valid, (b) receive the data relating to the parameter and determine an amount of the received data that is valid, and (c) cause a study status indicator to be output by the apparatus based on the amount of the received data that is determined to be valid and the predetermined amount specified in the configuration information.

A method, apparatus and computer program product are provided for determining an intimate activity has occurred based on data collected with a radar detection device. Data relating to sleep patterns, such as of a sleep study participant, may be collected with a radar detection device in close proximity to a bed or other reference point. The data may be processed to determine occurrence of intimate activities, based on detected movements and / or positions of body profiles relative to each other and / or to a common reference point. The data corresponding to intimate activities may therefore be appropriately processed, such as by being excluded from the sleep record data to provide privacy to a user.

The invention discloses an intelligent child sleep monitoring system with an adenoidal hypertrophy probability judgment function. The intelligent child sleep monitoring system comprises a dot matrix infrared camera, a microphone array, a near-infrared LED light source, a sleeping posture and mouth-nose respiration analysis module, a body temperature analysis module, a respiration acoustics analysis module, a blood oxygen analysis module and an adenoidal hypertrophy probability comprehensive judgment module. The intelligent child sleep monitoring system with the adenoidal hypertrophy probability judgment function is different from an existing sleep monitoring product, home sleep monitoring can be conducted on children to judge the adenoidal hypertrophy probability of the children, and objective references are provided for parents and doctors, so that the children with operation indications can be treated in time. According to the present invention, multi-parameter monitoring is carriedout in a non-contact mode, so that the defect that comfort is affected due to the fact that an existing monitoring device needs to be worn can be overcome, and the comprehensiveness and accuracy of amonitoring result can be improved by integrating multiple parameters for analysis.

A portable polysomnography apparatus comprises a unitary flexible structured pillow that is embedded with accelerometers for data collection. The polysomnography apparatus is advantageously sized and shaped to cause the sleeping subject to properly orient the embedded accelerometers for optimal data collection while the subject is asleep. A portable polysomnography system comprises a structured pillow with embedded sensors that are in wireless communication with a companion data collection device that records data from the embedded sensors. In an alternative embodiment, a system may include a structured pillow with an internal pocket into which a single device including embedded sensors and data recording capabilities is inserted.

The invention provides a sleep monitoring system, and relates to the technical field of sleep monitoring, and the sleep monitoring system comprises a main controller which is used for controlling the transmission of data streams among all modules, playing roles in exchanging, detecting and providing signals, and enabling all the modules to cooperatively operate in different time intervals; the infrared sensing module is connected with the main controller, the infrared sensing module is used for detecting whether people are in a state of preparing to fall asleep or not, the waking state of people is accurately monitored through the touch sensing module, and when the waste heat on the equipment needs to be smaller than a set threshold value, the infrared sensing module is used for detecting whether the people are in the state of preparing to fall asleep or not. At the moment, the touch sensing module transmits data to the main controller, so that data monitoring is stopped in time, meanwhile, the state of people on the equipment is detected through the high-precision pressure sensor, and therefore it is ensured that whether people are sober and leave the surface of the equipment or not, and the accuracy of sleep data is ensured.

A sleep study system comprises a set of sensors for monitoring physiological parameters of a subject during sleep as part of a sleep study and for monitoring the sleep stage of the subject. It is determined if intervention to the subject is needed for maintenance or repair to the sleep study system. If so, a time to perform the intervention is also derived based on the sleep stage of the subject, in particular so as to be least disruptive to the subject.

The invention discloses a rapid eye movement sleep analysis method, a system and equipment. The method includes: classifying video polysomnography data in a fast eye movement period and a non-rapid eye movement period, and storing the classification results and the video data according to a corresponding relationship; preprocessing the video data, and dividing the preprocessed video data and the corresponding classification results into a training set and a test set; performing feature learning on the video data in the training set, classifying with reference to the corresponding classification results given, and making certain adjustments to a deep neural network on the test set; preprocessing and slicing the video information to be classified to obtain input data matching the input of the deep neural network; and inputting the deep neural network to obtain an output result of the network. According to the method, a video monitoring mode is used for carrying out automatic analysis onrapid eye movement sleep, so that complexity of a video polysomnography monitoring system is reduced, contact influence on patients is reduced, and comfort and accuracy of polysomnography monitoring patients are improved.

The invention discloses an infant sleep monitoring system, which comprises: at least one image acquisition module used for acquiring sleep image information of an infant in real time; and the central information processing module that is used for analyzing and judging sleep behavior information of the baby according to the sleep image information of the baby. When a baby sleeps alone, the infant sleep monitoring system provided by the invention can be used for monitoring the sleep of the baby. Once an abnormal sleep behavior is found, an alarm is sent to a guardian in time; for example, once the baby has behaviors such as face shielding and handrail climbing, relevant alarms are immediately sent to a guardian; a guardian can arrive immediately, so that accidents are avoided; a sleep curve of the baby can be obtained after the posture is monitored and recognized, and a sleep quality report is generated; the sleep condition of the baby can be known according to the sleep curve and the sleep quality report, and life arrangement is facilitated.

The invention provides a sleep breathing disorder monitoring method and a system thereof. The sleep breathing disorder monitoring method comprises the following steps of: obtaining body vibration dataof a human body in a sleep state for a preset duration, and carrying out filtering treatment on the body vibration data of the preset duration, and obtaining breathing waveform data of the preset duration; acquiring an envelope line of the preset duration based on the breathing waveform data of the preset duration; and comparing the envelope line of the preset duration with a breathing disorder threshold, and determining whether sleep breathing disorder exists or not based on a comparison result. The sleep breathing disorder monitoring system can realize monitoring and early warning of sleepbreathing disorder by using an unconstrained non-contact vibration sensor, and is simpler to operate and lower in cost compared with a multi-guide sleep monitoring system, so that breathing of a userduring sleep can be effectively monitored for a long time, and an auxiliary means is provided for the user to go to a medical institution for definite diagnosis.

A sleep monitoring system has a movement sensing arrangement and a controller for identifying from the movement sensing arrangement output signals sleep-disordered breathing events. Seismocardiography signals are recorded and analyzed to determine repetitive patterns, from which an inter-beat interval time series is derived without identifying specific elements of the repetitive patterns. The sleep-disordered breath events are derived from the inter-beat interval time series. In this way, SCG signals can be used for sleep monitoring in a robust and reliable way.

The present invention is a device and method for assuring “chain of custody” (CoC) in connection with a home sleep study (HST). An HST CoC device according to the invention includes a camera and a circuit board operatively connected to the camera. During the HST the circuit board signals the camera to periodically take images of the patient, to optimally assure CoC. The images are preferably still shots, but can alternatively be relatively short video clips. Further, the images are preferably taken randomly to discourage the patient from attempting to game the system and defeat CoC safeguards. Another embodiment includes a shipping container for a HST device, wherein a CoC device is operatively connected to the shipping container, whereby the CoC device is automatically returned to the lab along with the HST device following the HST.

The invention discloses a portable sleep monitoring system based on ear EEG. The system comprises two ear-hanging electrode modules, an EEG acquisition module, a mobile terminal module and an analysis module, wherein the two ear-hanging electrode modules are arranged on two ears, and each ear-hanging electrode module comprises a plurality of acquisition electrodes and a reference electrode; the EEG acquisition module is connected with the ear-hanging electrode modules and used for acquiring EEG signals from the acquisition electrodes and the reference electrodes and performing preliminary signal processing to obtain processed ear EEG signals; the mobile terminal module is used for receiving the processed ear EEG signals, displaying waveforms in real time and transmitting the ear EEG signals to the analysis module after acquisition is completed; the analysis module performs sleep stage division and characteristic wave detection on the ear EEG signals and generates a sleep analysis report. The sleep monitoring system adopts ear-hanging electrodes, can be worn autonomously, is portable and high in fitting degree and has higher sensitivity and accuracy.