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| Products Diagnostics Sleep ProfilerAssess Sleep Architecture & ContinuitySleep Profiler PSG2Unattended PolysomnographyPoSASPositional Sleep Assessment System Therapy Night Shift TherapyPositional Sleep Apnea TherapyApnea GuardTrial/Temporary Oral Appliance Neurotechnology B-Alert X-SeriesWireless EEG SystemB-Alert EEG SoftwareEEG Software SolutionsSTAT X-Series EEGNeurological AssesssmentEEG Partners & IntegrationSERVICESClinical TrialsEEG solutions for pharmaceutical, therapeutic device, and other research trialsResearchEEG Research ServicesApplicationsBiomarkersNeuromarketingHuman Performance EnhancementFatigue Management & SafetyBrain-Computer InterfaceTeam NeurodynamicsABOUT UsOur CompanyEvents & NewsPublications Contact USHome ProductsSleep ProfilerSleep Profiler PSG2PoSASNight Shift TherapyApnea GuardB-Alert X-SeriesB-Alert EEG SoftwareSTAT X-SeriesServicesClinical TrialsResearchApplicationsBiomarkersNeuromarketingHuman PerformanceFatigue Management & SafetyBrain-Computer InterfaceTeam NeurodynamicsAbout UsOur CompanyEvent & NewsPublicationsContact In-Home Patient-Applied Type 2 Home Sleep Test ============================================== OverviewFeaturesApplicationsClinical EvidenceSpecifications & ManualsPortalContact Us The Sleep Profiler PSG2TM combines the accuracy and versatility of the Sleep ProfilerTM with the cardio-respiratory signals needed for a Type 2 unattended, virtually wireless polysomnography study. The 13-channel system includes EEG, EOG and EMG, wireless oximetry, nasal pressure/airflow, chest and abdomen respiratory effort (RIP or piezo), forehead and finger pulse rate, head movement and position, and quantitative snoring. The Sleep Profiler PSG2TM is the only home sleep apnea test (HSAT) that uses voice messages to assist the patient to correctly self-apply the sensors. Real-time detection of poor airflow and oximetry signal quality trigger corrective voice alerts that contribute to an industry-leading 94% success rate for a Type II study. ?? The web-based software enables selection of either 3% or 4% desaturation criteria, with auto-scored apnea/hypopnea indexes based on both AASM?????and AASM??????scoring rules and automated detection of poor signal quality. Features ======== All of the Editing and Report Features of the Sleep Profiler plus: Sleep-Disordered Breathing * Detection of apneas, hypopnea-desats, and hypopnea-arousals * Differentiation between obstructive and central apneas * Hypoxemic exposure during sleep * REM and positional influence on OSA severity * Frequency and intensity of positional snoring * Power spectral characteristics of the sleep stages Applications ------------ Clinical: * PSG2 enables clinicians to easily and accurately conduct unattended PSG studies to: * Rule out potential false negative Type III study results * Provide PSG studies to patients who are: * hospitalized and need to qualify for CPAP reimbursement * in need based on co-morbidities, but unable to schedule a lab-based study * unable to sleep during a laboratory PSG * suspected of upper airway resistance syndrome * suspected of having neurodegenerative disease Research: * PSG2 provides researcher the capability to assess the interaction between sleep architecture, hypoxemia, and sleeping position on sleep disordered breathing severity with variables that include: * REM and Non-REM apnea/hypopnea, apnea, and hypopnea indexes * Snoring above 30, 40, 50, and 60 dB by position * Number of hypopneas confirmed by arousals vs. desaturations by position * Number of apneas and hypopnea events by position * 3% and 4% oxygen desaturation indexes by position For information on Sleep Profiler for Easy PSG-Quality Sleep Staging, CLICK HERE Clinical Evidence ----------------- Featured Article Proof-of-concept for characterization of neurodegenerative disorders using two non-REM biomarkers. Levendowski DJ, Neylan TC, Walsh CM, et al. Front Neurol, 2023; 14: DOI fneur.2023.1272369. Peer Reviewed Journal Articles Proof-of-concept for characterization of neurodegenerative disorders using two non-REM biomarkers. Levendowski DJ, Neylan TC, Walsh CM, et al. Front Neurol. 2023; 14: DOI fneur.2023.1272369.Keyword: Sleep EEG, neurodegenerative disorder biomarker Non-REM sleep with hypertonia in Parkinsonian Spectrum Disorders: A pilot Investigation. Levendowski DJ, Walsh CM, Boeve BF, et al. Sleep Med, 2022: 100:501-510.Keyword: Sleep EEG, neurodegeneation, biomarkers Autonomic dysregulation during sleep in Parkinsonian Spectrum disorders ??a proof-of-concept. Cho Y, Levendowski DJ, Walsh CM, et al. Parkinsonism Relat Disord. 2023; j.parkreldis.2023.105905.Keyword: Sleep EEG, neurodegenerative disorder biomarker The accuracy and reliability of sleep staging and sleep biomarkers in patients with isolated rapid eye movement sleep behavior disorder. Levendowski DJ, Neylan, TC, Lee-Iannotti J, et al. Nat Sci Sleep, 2023:Keyword: Neurodegeneation The accuracy, night-to-night variability, and stability of frontopolar sleep EEG biomarkers. Levendowski DJ, Ferini-Strambi L, Gamaldo C, et al. J Clin Sleep Med, 2017; 13(6):791-803. Keyword: Sleep EEG validation, insomnia, medication The need for a reliable Sleep EEG biomarker. Penzel T, Fietze I,Veauthier C. JCSM 2017; 13(6):771-772.Keyword: Sleep EEG biomarkers Portable sleep monitoring systems: Broadening the horizons. Covassin N, Somers VK. J Clin Sleep Med 2017; 13(6):773:774. Keyword: Sleep EEG and medication Sleep and sleep position: potential implications for patients with neurodegenerative disease. Levendowski DJ, Gamaldo C, St. Louis E, etal. J Alzheimers Dis 2019;67(2):631-638. Keyword: Sleep EEG and neurodegenerative disease Reduced non-rapid eye movement sleep is associated with tau pathology in early Alzheimer's disease. Lucey B, McCullough A, Landsness EC, etal. Sci Transl Med 2019; 11:(474):DOI 10.1126/scitranslmed.aau6550 Keyword: Sleep EEG and neurodegenerative disease Multi-modal home sleep monitoring in older adults. Toedebusch CD. McLeland JS, Schaibley CM et al. J Vis Exp 2019;26(143) DOI 10.3791/58823 Keyword: Sleep EEG and neurodegenerative disease Comparison of EMG power during sleep from the submental and frontalis muscles. Levendowski DJ, St. Louis, E, Ferini-Strambi L, et al. Nat Sci Sleep 2018; 10:431-437. Keyword: Sleep EEG and neurodegenerative disease Effects of deep sedation on sleep in critically ill medical patients on mechanical ventilation. Jean R, Shah, P, Yudelevich E, et al. J Sleep Res 2019, DOI10.111/jsr.12894. Keyword: Sleep EEG and neurodegenerative disease Processed EEG monitoring for anesthesia and intensive care practice. Fomagnoli S, Franchi F, Ricci Z. Minerva Anesthesiol 2019: 85(11):1219-1230. Keyword: Sleep and ICU Sleep duration and architecture innon-intubated Intensive Care Unit patients: An observational study. Romagnoli S, Villa G, Fontanarosa L, et al. SleepMed 2020, DOI10.1016/j.sleep.11.1265. Keyword: Sleep and ICU Multimodal assessment of sleep in men and women during treatment for opioid use disorder. Finan PH, Mun CJ, Epstein DH et al. Drug Alcohol Dependence 2020;207: 1-7. Keyword: Sleep EEG and medication The effect of sleep deprivation on emotional memory consolidation in participants reporting depressive symptoms. Harrington MO, Nedberge KM, Durrant SJ. Neurobiol Learning Memory 2018; 152:10-19.Keyword: Sleep EEG and memory Comparison of a single-channel EEG sleep study to polysomnography. Lucey B, McLeland JS,Toedebusch CD et al. J Sleep Res, 2016;25(6):625-635. Keyword: Sleep EEG validation Validation of a wireless, self-application, ambulatory electroencephalographic sleep monitoring device in healthy volunteers. Finan PH, RichardsJM, Gamaldo CE, et al. J Clin Sleep Med, 2016;12(1):443-1451. Keyword: Sleep EEG validation Scoring accuracy of automated sleep staging from a bipolar electroocular recording compared to manual scoring by multiple raters. Stepnowsky C, Levendowski D, Popovic D, etal. SleepMed, 2013;14(11):1199-077. Keyword: Sleep EEG validation Retrospective cross-validation of automated sleep staging using electroocular recordings inpatients with and without sleep disordered breathing. Levendowski DJ, Popovic D, Berka C, et al. IntArch Med, 2012;5(1):21. Keyword: Sleep EEG validation Automatic scoring of sleep stages and cortical arousals using two electrodes on the head: validation in healthy adults. Popovic D, Khoo M, Westbrook P. J Sleep Res, 2014:23(2):211-21.Keyword: Sleep EEG validation A systematic comparison of factors that could impact treatment recommendations for patients with Positional Obstructive Sleep Apnea (POSA). Levendowski DJ, Oksenberg A, Vicini C et al. SleepMed 2018; 50:145-151. Keyword: Unattended PSG, positional OSA A comparison between auto-scored apnea-hypopnea index and oxygen desaturation index in the characterization of positional obstructive sleep apnea. Levendowski DJ, Hamilton GS, St. Louis EK, etal. NatSci Sleep 2019; 11;69-78. Keyword: Unattended PSG Conference Proceedings Sleep Biomarker phenotyping of neurodegenerative disorders using artificial intelligence. Levendowski DJ, Tsuang D, Neylan T, et al. Sleep Advances. 2023; 4:DOI sleepadvances/zpad035.107. Keyword: Neurodegeneration, supine sleep Atypical N3 sleep: A biomarker for altered mental status in Lewy body disease? Levendowski DJ, Lee-Iannotti JK, Tsuang D, et al. Sleep Advances. 2023; 4:DOI sleepadvances/zpad035.110. Keyword: Neurodegenerative disorder phenotyping Head position during sleep: Potential implications for patients with neurodegenerative disorders. Levendowski DJ, Walsh C, Neylan T, et al. Sleep Advances. 2023; 4:DOI sleepadvances/zpad035.097. Keyword: Neurodegeneration, supine sleep Comparison of sleep and wake EEG biomarkers in mild cognitive impairment and Alzheimer?? disease dementia. Meghdadi AH, Levendowski DJ, Kovacevic N et al. Meeting of the AAIC, Amsterdam, Netherlands. 2023 Keyword: EEG and Neurodegeneration Potential role of physicians in addressing the needs of those at-risk of a neurodegenerative disorder ??A pilot study. Levendowski DJ, Berka C, Neylan TC, et al. Sleep 2023. Indianapolis, IN. Keyword: Neurodegeneration A community-based survey of personal perspectives regarding prodromal sleep screening for neurodegenerative disorders. Levendowski DJ, Berka C, Neylan TC, et al. Sleep 2023. Indianapolis, IN. Keyword: Neurodegeneration Characterization of neurodegenerative disorder subtypes based on Non-REM hypertonia and sleep spindle duration. Levendowski DJ, Boeve BF, Walsh CM, et al. Sleep. 2022: 45(1): A121 Keyword: Sleep EEG and neurodegenerative disease The influence of antidepressants on non-REM hypertonia, a biomarker for Parkinsonian spectrum disorders. Levendowski DJ, Walsh CM, Boeve BF, et al. Sleep. 2022: 45(1): A120-A121. Keyword: Sleep EEG and neurodegenerative disease Sleep spindle duration: A potential biomarker for particular neurodegenerative disorders. Levendowski DJ, Walsh CM, Boeve BF, et al. Sleep. 2022: 45(1): A120. Keyword: Sleep EEG and neurodegenerative disease Investigation of sleep metrics in the characterization of neurodegenerative disease. Levendowski DJ, Boeve BF, Neylan T, et al. Alzheimer?? & Dementia 2021: 17(S5). DOI: 10.1002/alz.052238. Keyword: Sleep EEG and neurodegenerative disease Non-REM sleep with hypertonia: A potential prodromal biomarker for ?-Synuclein-related neurodegenerative disease. Levendowski DJ, Boeve BF, Shprecher D, et al. Conference of the American Academy of Neurology, San Francisco, CA 2021.Keyword: Sleep EEG and neurodegenerative disease Normal and abnormal stage N3 sleep in patients with cognitive impairment and/or neurodegenerative diseases. Levendowski DJ, Boeve BF, Shprecher D, et al. Conference of the American Academy of Neurology, San Francisco, CA 2021.Keyword: Sleep EEG and neurodegenerative disease Assessment of sleep abnormalities in patients with neurodegenerative disease using an in-home sleep profiling system. Levendowski D, Berka C, Meghdadi A etal. SomnologieSuppl 1 2018; 16-17.Keyword: Sleep EEG and neurodegenerative disease Characterization of sleep abnormalities in Alzheimer?? disease and mild cognitive impairment using an in-home sleep profiling system. Berka C, Levendowski D, Meghdadi A etal. AD/PDF ocus Meeting, 2018, Torino ItalyKeyword: Sleep EEG and neurodegenerative disease Neurophysiological biomarkers for Alzheimer?? disease and mild cognitive impairment acquired during sleep and wake. Berka C, Meghdadi A, Rupp G, et al. AD/PDFocus Meeting, 2018, Torino ItalyKeyword: Sleep EEG and neurodegenerative disease Atypical sleep architecture evaluated in septic patients in the intensive care unit; a pilot study. Kotani T, Miyashita, Mori etal. American Thoracic Society, 2019, Dallas TxKeyword: Sleep and ICU Can disrupted sleep affect mortality in the mechanically ventilated critically ill? Shah PC, Yudelevich E, Genese F, et al. American Thoracic Society, 2016, San Francisco, CA.Keyword: Sleep and ICU Sleep in the ICU: an analysis of sleep quality and quantity in mechanically ventilated patients. Yudelevich E, Fuhrman K, Ventura I, et al. Society of Critical Care Medicine, 2016, Orlando FL.Keyword: Sleep and ICU The influence of sepsis on sleep architecture in the intensive care unit. Genese F, Martillo M, Ventura I, et al. Society of Critical Care Medicine, 2016, Orlando FL.Keyword: Sleep and ICU Challenges of sleep in the ICU: The significance of sedatives on sleep architecture. Fuhrmann KA, Martillo M, Genese F, et al.: American Thoracic Society, 2016, San Francisco, CA.Keyword: Sleep and ICU Multi-night EEG recordings during sleep can provide important information in managing insomnia. Australasian Sleep Society Meeting 2015; Melbourne Australia.Keyword: Sleep EEG and Insomnia Night to night variability in subjective and objective sleep quality metrics in patients evaluated for chronic insomnia. Levendowski DJ, Cetel M, Rosenberg R, et al. Sleep, 2014;37:188. Keyword: Sleep EEG and Insomnia Night to night variabilityin sleep architecture and continuity in patients evaluated for chronic insomnia. Westbrook PR, Levendowski D, Cetel M, et al. Sleep, 2014;37:192. Keyword: Sleep EEG and Insomnia Comparison of objective and subjective measures of awakenings in patients evaluated for chronic insomnia. Cetel M, Rosenberg R, Levendowski D, et al. Sleep, 2014;37:A191.Keyword: Sleep EEG and Insomnia Objective measures of sleep and subjective symptoms in patients evaluated for chronic insomnia, grouped by three different depression criteria. Cunnington D, Levendowski D, Westbrook P, etal. Australasian Sleep Society Meeting, 2014, Perth Australia.Keyword: Sleep EEG and Mood Differences in heart rate variability during REM and NREM sleep, a biomarker for depression? Levendowski DJ, Cetel M, Rosenberg R, et al. Sleep, 2014;37:187.Keyword: Sleep EEG and Mood Interpreting in-home sleep biomarkers based on polysomnographic reference values. Levendowski DJ, Rosenberg R, Lucey BP etal. Sleep, 2017;40:A845.Keyword: Sleep EEG biomarkers Agreement between auto-scored and edited unattended in-home polysomnography. Levendowski D, Dawson D, Levi M et al. Sleep Medicine 2017;40;89.Keyword: OSA diagnostic accuracy Non-inferiority between the overall and REM-related apnea-hypopnea indexes obtained by polysomnography and a forehead worn, auto-scored system. Levendowski DJ, Henninger D, Smith J, et al. Sleep, 2016;39:A380.Keyword: OSA diagnostic accuracy Agreement in supine sleep duration when measured from the chest, head and neck. Levendowski D, Veljkovic B, Ramos Angel E, et al. 30th annual meeting of the Australasian Sleep Association, Brisbane Australia, October 17-20, 2018.Keyword: Sleep and position Specifications -------------- ChannelsUp to 13Power Rechargeable BatteryWarranty 2 yearsWeight, including WristOx? and Effort Belts up to 388g (13.7oz)Memory 8 GB internalRecording Time Up to 30 hoursAirflow range ? 2cm H??Oximetry accuracy ? 2% at one standard deviation from 70% to 100% Instructions and Manuals * Sleep Profiler PSG2 Instructions and Manuals Related Products ================ Sleep ProfilerAssess Sleep Architecture & Continuity Night ShiftPositional Sleep Apnea Therapy PoSASSimple Screening Tool for OSA ProductsNewsletter Signup * Sleep Profiler * Sleep Profiler PSG2 * B-Alert X-Series EEG * Stat X-Series Wireless EEG * Night Shift Sleep Positioner * Apnea Guard * PoSAS Resources EmailThank you! Your submission has been received!Oops! 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