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.
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The web-based software enables selection of either 3% or 4% desaturation criteria, with auto-scored apnea/hypopnea indexes based on both AASM²⁰¹² and AASM²⁰⁰⁷ 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’s 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’s & 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 α-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’s 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 Italy

Keyword: Sleep EEG and neurodegenerative disease

Neurophysiological biomarkers for Alzheimer’s disease and mild cognitive impairment acquired during sleep and wake. Berka C, Meghdadi A, Rupp G, et al. AD/PDFocus Meeting, 2018, Torino Italy

Keyword: 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 Tx

Keyword: 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

Channels

Up to 13

Power

Rechargeable Battery

Warranty

2 years

Weight, including WristOx® and Effort Belts

up to 388g (13.7oz)

Memory

8 GB internal

Recording Time

Up to 30 hours

Airflow range

± 2cm H₂O

Oximetry accuracy

± 2% at one standard deviation from 70% to 100%

Instructions and Manuals

Sleep Profiler PSG2 Instructions and Manuals

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