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Automatic scoring of sleep EEG data to identify stages of sleep according the American Academy of Sleep Medicine definitions, rules and guidelines. It is to be used with adult populations.

The Neurosom EEG Assessment Technology (NEAT) is a medical device software application that allows users to perform sleep staging post-EEG acquisition. NEAT allows users to review sleep stages on scored MFF files and perform sleep scoring on unscored MFF files. NEAT software is designed in a client-server model and comprises a User Interface (UI) that runs on a Chrome web browser in the client computer and a Command Line Interface (CLI) software that runs on a Forward-Looking Operations Workflow (FLOW) server. The user interacts with the NEAT UI through the FLOW front-end application to initiate the NEAT workflow on unscored MFF files and visualize sleep-scoring results. Sleep stages are scored by the containerized neat-cli software on the FLOW server using the EEG data. The sleep stages are then added to the input MFF file as an event track file in XML format. Once the new event track file is created, the NEAT UI component retrieves the sleep events from the FLOW server and displays a hypnogram (visual representation of sleep stages over time) on the screen, along with sleep statistics and other subject details. Additionally, a summary of the sleep scoring is automatically generated and added to the same participant in the FLOW server in PDF format.

DeepRESP is an aid in the diagnosis of various sleep disorders where subjects are often evaluated during the initiation or follow-up of treatment of various sleep disorders. The recordings to be analyzed by DeepRESP can be performed in a hospital, patient home, or an ambulatory setting. It is indicated for use with adults (22 years and above) in a clinical environment by or on the order of a medical professional. DeepRESP is intended to mark sleep study signals to aid in the identification of events and annotation of traces; automatically calculate measures obtained from recorded signals (e.g., magnitude, time, frequency, and statistical measures of marked events); infer sleep staging with arousals with EEG and in the absence of EEG. All output is subject to verification by a medical professional.

DeepRESP is a cloud-based software as a medical device (SaMD), designed to perform analysis of sleep study recordings, with and without EEG signals, providing data for the assessment and diagnosis of sleep-related disorders. Its algorithmic framework provides the derivation of sleep staging including arousals, scoring of respiratory events and key parameters such as the Apnea-Hypopnea Index (AHI). DeepRESP is hosted on a serverless stack. It consists of: - A web Application Programming Interface (API) intended to interface with a third-party client application, allowing medical professionals to access DeepRESP's analytical capabilities. - Predefined sequences called Protocols that run data analyses, including artificial intelligence and rule-based models for the scoring of sleep studies, and a parameter calculation service. - A Result storage using an object storage service to temporarily store outputs from the DeepRESP Protocols.

The Dreem 3S is intended for prescription use to measure, record, display, transmit and analyze the electrical activity of the brain to assess sleep and awake in the home or healthcare environment. The Dreem 3S can also output a hypnogram of sleep scoring by 30-second epoch and summary of sleep metrics derived from this hypnogram. The Dreem 3S is used for the assessment of sleep on adult individuals (22 to 65 years old). The Dreem 3S allows for the generation of user/predefined reports based on the subject's data.

The Dreem 3S headband contains microelectronics, within a flexible case made of plastic, foam, and fabric. It includes 6 EEG electrodes and a 3D accelerometer sensor. The EEG signal is measured by two electrodes in the frontal position) and two at the back of the head (occipital position), along with one reference electrode and one ground electrode. The 3D accelerometer is embedded in the top of the headband to ensure accurate measurements of the wearer's head movement during the night. The raw EEG and accelerometer data are transferred to Dreem's servers for further analysis after the night is over. The device includes a bone-conduction speaker with volume control to provide notifications to the wearer, and a power button circled by a multicolor LED light The device generates a sleep report that includes a sleep staging for each 30-second epoch during the night. This output is produced using an algorithm that analyzes data from the headband EEG and accelerometer sensors. A raw data file is also available in EDF format.

SleepStageML is intended for assisting the diagnostic evaluation by a qualified clinician to assess sleep quality from level 1 polysomnography (PSG) recordings in a clinical environment in patients aged 18 and older. SleepStageML is a software-only medical device to be used to analyze physiological signals and automatically score sleep stages. All outputs are subject to review by a qualified clinician.

SleepStageML is an Artificial Intelligence/Machine Learning (Al/ML)-enabled software-only medical device that analyzes polysomnography (PSG) recordings and automatically scores sleep stages. It is intended for assisting the diagnostic evaluation by a qualified clinician to assess sleep quality in patients aged 18 and older. Qualified clinicians (also referred to as clinical users) such as sleep physicians, sleep technicians, or registered PSG technologists (RPSGTs) who are qualified to review PSG studies, provide PSG recordings in European Data Format (EDF) file format through a secure file transfer system to Beacon Biosignals. SleepStageML automatically analyzes the provided PSG recording and return an EDF file containing the original PSG recording with software-generated sleep stage annotations (i.e., Wake (W), non-REM 1 (N1), non-REM 2 (N2), non-REM 3 (N3), and REM (R)) back to the clinical user. The EDF files containing PSG signals as well as sleep stage annotations are referred to as EDF+. The returned EDF+ files can then be reviewed by the qualified clinicians via the users' PSG viewing software. The recordings processed by SleepStageML are level-1 PSG recordings obtained in an attended setting in accordance with American Association of Sleep Medicine (AASM) recommendations with respect to minimum sampling rate, electroencephalography (EEG) channels, and EEG locations. SleepStageML only uses the EEG signals in provided PSGs and does not consider electromyography (EMG) or electrooculography (EOG) signals when performing sleep staging. The sleep stage outputs of SleepStageML are intended to be comparable to sleep stages as defined by AASM guidelines. SleepStageML software outputs are subject to qualified clinician's review.

The Dreem 3S is intended for prescription use to measure, record, display, transmit and analyze the electrical activity of the brain to assess sleep and awake in the home or healthcare environment. The Dreem 3S can also output a hypnogram of sleep scoring by 30-second epoch and summary of sleep metrics derived from this hypnogram. The Dreem 3S is used for the assessment of sleep on adult individuals (22 to 65 years old). The Dreem 3S allows for the generation of user/predefined reports based on the subject's data.

The Dreem 3S headband contains microelectronics, within a flexible case made of plastic, foam, and fabric. It includes 6 EEG electrodes and a 3D accelerometer sensor. The EEG signal is measured by two electrodes in the frontal position) and two at the back of the head (occipital position), along with one reference electrode and one ground electrode. The 3D accelerometer is embedded in the top of the headband to ensure accurate measurements of the wearer's head movement during the night. The raw EEG and accelerometer data are transferred to Dreem's servers for further analysis after the night is over. The device includes a bone-conduction speaker with volume control to provide notifications to the wearer, and a power button circled by a multicolor LED light The device generates a sleep report that includes a sleep staging for each 30-second epoch during the night. This output is produced using an algorithm that analyzes data from the headband EEG and accelerometer sensors. A raw data file is also available in EDF format. The algorithm uses raw EEG data and accelerometer data to provide automatic sleep staging according to the AASM classification. The algorithm is implemented with an artificial neural network. Frequency spectrums are computed from raw data and then passed to several neural network layers including recurrent layers and attention layers. The algorithm outputs prediction for several epochs of 30 seconds at the same time, every 30 seconds. The various outputs for a single epoch of 30 seconds are combined to provide robust sleep scoring.

SOMNUM is a computer program (software) intended for use as an aid for the diagnosis of sleep and respiratory related sleep disorders. SOMNUM is intended to be used for analysis (automatic scoring and manual re-scoring), display, redisplay(retrieve), summarize and reports generation of digital data collected by monitoring devices typically used to evaluate sleep and respiratory related sleep disorders. The device is to be used under the supervision of a physician. Use is restricted to files obtained from adult patients. For respiratory events - Sleep Disordered Breathing (Apneas)- obstructive, central, mixed apneas, and hypopneas must be manually scored by physician. The device does not output specific apnea or hypopnea events and therefore should not be used for management decisions.

SOMNUM is a standalone software application that analyze previously recorded physiological data obtained during level 1 sleep studies, referred to as polysomnography (PSG) records. The SOMNUM software can analyze any EDF files. Automated algorithms are applied to the raw signals in order to identify the occurrence of certain events. The software automates recognition of: - · Sleep Stage Events : Wake, Stage N1, Stage N2, Stage N3, Stage REM - Respiratory Events : Sleep Disordered Breathing (device output does not distinguish between Apneas and Hypopneas. Obstructive, central, mixed apneas, and hypopneas must be manually scored by physician) - · Arousal Events - · Leg Movement Events : Periodic Leg Movements during Sleep (PLMs) The SOMNUM software can be used as a stand-alone application for use on Windows 10 operating system platform. All processing, scoring, and analysis of signal data occurs on local desktop PC.

SomnoMetry is intended for use for the diagnostic evaluation by a physician to assess sleep quality and as an aid for the diagnosis of sleep and respiratory-related sleep disorders in adults only. SomnoMetry is a software-only medical device to be used to analyze physiological signals and automatically score sleep study results, including the staging of sleep, AHI, and detection of sleepdisordered breathing events including obstructive apneas. It is intended to be used under the supervision of a clinician in a clinical environment. All automatically scored events are subject to verification by a qualified clinician.

The SomnoMetry is an Artificial Intelligent/Machine Learning (AI/ML)-enabled Software as a Medical Device (SaMD) that automatically scores sleep study results by analyzing polysomnography (PSG) signals recorded during sleep studies. It is intended to be used under the supervision of a clinician in clinical environments to aid in the diagnosis of sleep and respiratory related sleep disorders. All scored events that are analyzed, displayed, and summarized can be manually marked or edited by a qualified clinician during review and verification. SomnoMetry consists of: - A web Application Programing Interface (API) to allow authenticated users to upload . PSG files to SomnoMetry Platform - A database to store the input, intermedium output, final output, and associated data ● - A database API to access the database and store/retrieve the output ● - A dashboard to display, retrieve, manage, edit, verify, and summarize the output - An AI/ML Engine using AI/ML algorithms/approaches to analyze PSG data ● - A reporting API to generate sleep reports

EnsoSleep is intended for use in the diagnostic evaluation by a physician to assess sleep quality and as an aid for physicians in the diagnosis of sleep disorders and respiratory related sleep disorders in pediatric as follows: - · Pediatric patients 13 years and older with polysomnography (PSG) tests obtained in a Hospital or Sleep Clinic - · Adult patients with PSGs obtained in a Hospital or Sleep Clinic - · Adult patients with Home Sleep Tests EnsoSleep is a software-only medical device to be used under the supervision of a clinician to analyze physiological signals and automatically score sleep study results, including the staging of arousals, leg movements, and sleep disordered breathing events including obstructive apneas (OSA), central sleep apneas (CSA), and hypopneas. All automatically scored events and physiological signals which are retrieved, analyzed, displayed, and summarized are subject to verification by a qualified clinician. Central sleep apneas (CSA) should be manually reviewed and modified as appropriate by a clinician. All events can be manually marked or edited within records during review. Photoplethysmography (PPG) total sleep time is not intended for use when electroencephalograph (EEG) data is recorded. PPG total sleep time is not intended to be used as the sole or primary basis for diagnosing any sleep related breathing disorder, prescribing treatment, or determining whether additional diagnostic assessment is warranted.

EnsoSleep is a software-only medical device that analyzes previously recorded physiological signals obtained during sleep. Users of EnsoSleep are consistent with the roles required to run a sleep clinic: sleep physicians, sleep technicians, clinic operations managers, and IT administrators. EnsoSleep can analyze at-home and in-lab sleep studies for both adult and pediatric patients who are at least 13 years old. Automated algorithms are applied to the raw signals in order to derive additional signals and interpret the raw and derived signal information. The software automates recognition of the following: respiratory events, sleep staging events, arousal events, movement events, cardiac events, derived signals, and calculated indices. EnsoSleep does not interpret the results, nor does it suggest a diagnosis. The device only marks events of interest for review by a physician who is responsible for diagnoses. The device does not analyze data that are different from those analyzed by human scorers. The signals and automated analyses can be visually inspected and edited prior to the results being integrated into a sleep study report. The software consists of 4 major components: - The Application Platform runs on local clinic workstations and manages the detection, upload, and download of study records and scoring to and from the Storage Platform - The Processing Platform accepts raw physiological signals as inputs in order to recognize events, derive signals, and calculate indices - . The Storage Platform facilitates file and database storage in the EnsoSleep cloud through an API - The Dashboard is a web-based user interface to support configuration, clinic management, and sleep study scoring

Sleepware G3 is a software application used for analysis (automatic and manual scoring), display, retrieval, summarization, report generation, and networking of data received from monitoring devices used to categorize sleep related events that help aid in the diagnosis of sleep-related disorders. It is indicated for use with adults (18 and older) and infant patients (one year old or less) in a clinical environment by or on the order of a physician. The optional Somnolyzer scoring algorithms are for use with adults (18 and older) to generate an output that is ready for review and interpretation by a physician. Cardio-Respiratory Sleep Staging (CReSS) is an additionality of Somnolyzer which uses standard Home Sleep Apnea Test HSAT signals (in the absence of EEG signals) to infer sleep stage.

Sleepware G3 software is a polysomnography scoring application, used by trained clinical professionals, for managing data from sleep diagnostic devices using a personal computer. Sleepware G3 is able to configure sleep diagnostic device parameters, transfer data stored in sleep diagnostic device memory to the personal host computer, process and auto-score data to display graphical and statistical analyses, provide aid to clinical professionals for evaluating the physiological data waveforms relevant to sleep monitoring, and create unique patient reports. Sleepware G3 includes an optional Somnolyzer plug-in. The auto-scoring algorithms of the Somnolyzer Inside software can be used in addition to, or in the place of, the auto-scoring algorithms that are included in Sleepware G3. Sleepware G3, remains unchanged in function and fundamental scientific technology from Sleepware G3 which was cleared under K142988.

The Nox Sleep System is used as an aid in the diagnosis of different sleep disorders and for the assessment of sleep. The Nox Sleep System is used to measure, record, display, organize, analyze, summarize, and retrieve physiological parameters during sleep and wake. The Nox Sleep System allows the user to decide on the complexity of the study by varying the number and types of physiological signals measured. The Nox Sleep System allows for generation of user/pre-defined reports based on subject's data. The user of the Nox Sleep System are medical professionals who have received training in the areas of hospital/clinical procedures, physiological monitoring of human subjects, or sleep disorder investigation. The intended environments are hospitals, institutions, sleep clinics, or other test environments, including patient's home.

The Nox Sleep System is intended for patients undergoing physiological measurements, for the assessment of sleep quality and the screening for sleep disorders. The Nox Sleep System does not provide any alarms and is not intended to be used for continuous monitoring where failure to operate can cause injuries or death of the patient. The basic Nox Sleep System consists of two recording/acquisition devices (Nox A1 Recorder and Nox C1 Access Point), a software running on a PC (Noxturnal PSG), an Android application (Noxturnal App) running on mobile platform, along with sensors and accessories. The system supports full Polysomnography (PSG) studies both in ambulatory and online/attended setups but also more simple sleep study setups, recording only few channels. The ambulatory sleep studies may take place in the clinic or in the home environment, but the online/attended sleep studies are only conducted in the clinical environment. The Nox A 1 Recorder is a small battery-operated recording unit that is worn by the patient during the study. It records signals from patient applied sensors that connect to the unit but also supports recording of signals from auxiliary devices over Bluetooth. The Nox A1 Recorder allows for communication over Bluetooth with the Noxturnal App during ambulatory setup and with the Nox C1 Access Point during online setup. The recorder is intended to be worn over clothing. New accessories and sensors as part of this submission are the Nox A 1 EEG 5 Lead Gold Electrode Cable and Nox A1 EEG Head Cable that are used for recording of EEG/EOG. These components are in direct contact with the patient. The Nox C1 Access Point is a separate mains powered unit located remotely from the patient that allows for recording of signals from auxiliary devices. It supports communication over LAN/Ethernet to the Noxturnal PSG, and communication with the Nox A1 Recorder and Noxturnal App over Bluetooth. The Nox C1 Access Point is only used for online study setup and is thus not intended to be used in the home environment. The Noxturnal App is used as a mobile interface to the Nox A1 Recorder and Nox C1 Access Point. The communications are via Bluetooth link. The app is normally used in the beginning of a sleep study, for basic tasks such as device configuration, starting a recording, checking the signal quality of signals being recorded and marking events during bio calibration. The Noxturnal PSG is used for configuration of the Nox recording/acquisition devices, to download a study from ambulatory recording or to collect an online study. The software supports the viewing, retrieving, storing and processing of data recorded/collected, manual and automatic analysis and reporting on the results from the recorded studies. The purpose with the automatic scoring function in Noxturnal PSG is to assist the trained physician in the diagnosis of a patient. It is not intended to provide the trained physician with a diagnostic results. The type of automatic analysis events scored by Noxturnal PSG include: Sleep Stages (Wake, N1, N2, N3, REM), Apneas, Hypopneas, Apnea Cassification (Obstructive, Mixed and Central Apneas), Limb Movements, Periodic Limb Movements, SpO2 Desaturation Events. and potential Bruxism-Related Events. The result of the automatic analysis/scoring must always be manually verified by the trained physician prior to diagnosis.