Features

Zmachine Insight

$500.00

  • Accurate EEG-based sleep staging
    Wake, Light Sleep (N1 & N2), Deep Sleep (N3), REM, Arousals, Total Sleep Time (TST), Sleep Efficiency (SE), Sleep Period Time (SPT), Latency to Persistent Sleep (LPS), Wake After Sleep Onset (WASO), Total Deep Sleep (TDS), Total REM Sleep (TRS), and Time Spent Out of Bed (TSOB).
  • Sleep score every 30 seconds
    Same epoch length as used by sleep labs
  • Can be used by patient at home
    Where patient is most comfortable and sleep is most natural
  • Easy apply/remove self-stick skin sensors
    Uses one-time-use, self-stick, disposable EEG sensors. Sensors are located completely outside of the hairline, and are easily self-applied and removed by the patient.
  • Power data review software
    The Zmachine includes a powerful, easy-to-use, data viewer program that runs locally on your PC to display, graph, analyze, and organize your Zmachine data. Available for free download in the Support section.
  • Ships with everything you need
    Your purchase includes the Zmachine system and all accessories (20 Packs Sensors and Alcohol Swabs, Clinician Key, Patient Cable, Wall Charger, microSD-to-USB Card Reader, 3M Command Hook, Fitted Travel Case, and Patient Guide).

Zmachine Insight+

$750.00

  • All the features and accessories of the Zmachine Insight, plus...
  • Records raw EEG waveforms
    Raw EEG data is recorded to the microSD card at full data rate and resolution (2500Hz/16-bit/Little-endian). This data can be visualized using the Zmachine data viewer software, or loaded into Matlab to perform your own analysis (sample code available in the Support section).
  • Real time CBTi patient alerts
    Using objective EEG-derived sleep state information, the Insight+ can also be programmed to produce an alert to leave bed when sleep isn’t achieved within a pre-specified period of time. This can be helpful in assisting those patients that spend too much time in bed awake in knowing when they should leave bed and stop trying to fall asleep for a while.
  • Real time display of summary sleep statistics
    The Insight+ can display any combination of Total Sleep Time, Sleep Efficiency, Latency to Persistent Sleep, and Wake After Sleep Onset, or none at all. This feature can be especially useful in addressing sleep state misperception.
  • Insurance Reimbursement
    The Zmachine Insight+ is classified by FDA as a standard polysomnograph with electroencephalograph. An article in Sleep Review Magazine indicates that CPT 95827 (overnight EEG) has been used successfully by board-certified sleep physicians, sleep centers, and neurologists in conjunction with ICD 9/10 codes for insomnia, hypersomnia, or mood disorders using patient-applied overnight EEG equipment of this type.

View The Data

Zmachine Data Viewer

The Zmachine Data Viewer program is available for free download. The data viewer runs locally on your PC to both visualize Zmachine output and organize the Zmachine data files. With the data viewer, you can view sleep staging information with 30 second resolution, display summary sleep statistics for each night (in blue directly below the staging graph), and visualize the raw EEG data that was used by the sleep staging algorithms.

Features

  • Free to all Zmachine users
  • Displays wake, light sleep, deep sleep, REM, arousals, and patient events
  • Displays sleep statistics, such as Sleep Period Time, Total Sleep Time, Sleep Efficiency, Latency to Persistent Sleep Wake After Sleep Onset and Time Spend Out of Bed
  • Archives and organizes Zmachine data
  • Display raw EEG signal corresponding to each epoch
  • Import data directly from the Zmachine or remotely from transmitted Zmachine data file
  • All data remains local to your computer
Data Viewer Image

Support

Documents

Software

Instructional Videos

FAQ

General Sleep offers Zmachine Comfort 40 sensors by the case. Each case contains 40 packages of sensors (enough for 40 nights of use), and can be obtained directly from General Sleep for $80 plus shipping.

Where is your (mind)fulness? It matters for sleep.
Association for Psychological Science (APS), 2017, 29th Annual Meeting
Lipsky, J., Acero, P., Cho, L., Kreidler, P., Zhu, Z., Britton, W.
Brown University

Estimation of Sleep Stages using Cardiac and Accelerometer Data from a Wrist-Worn Device
Associated Professional Sleep Societies (APSS), 2017, 31st Annual Meeting, Sleep (40)
Beattie, Z., Pantelopoulos, A., Ghoreyshi, A., Oyang, Y., Statan, A., Heneghan, C.
Fitbit, Inc.

Current research impacting long-duration space flight sleep and fatigue
American Osteopathic Association (AOA), 2016, 122nd Annual Meeting
Moomaw, R.
NASA - Johnson Space Center

Twenty-four Hours of Sleep, Sedentary Behavior, and Physical Activity with Nine Wearable Devices
Medicine & Science in Sports & Exercise, 2016, Vol. 48(3), 457–465
Rosenberger, ME.1, Buman, MP.2, Haskell, WL.1, McConnell, MV.1, Carstensen, LL.1
1Stanford University
2Arizona State University

Evaluation of an Automated Single-Channel Sleep Staging Algorithm
Nature and Science of Sleep, 2015, Vol. 7, 101-111
Wang, Y., Loparo, K., Kelly, M., Kaplan, R.
30x30-pdf

Performance Evaluation of an Automated Single-Channel Sleep Staging Algorithm
Associated Professional Sleep Societies (APSS), 2015, 29th Annual Meeting, Sleep (38)
Wang, Y., Loparo, K., Kaplan, R.

A Pilot Study: Delirium in the Intensive Care Unit: Utilizing the Zmachine Sleep Monitor for Assessment
UCLA Department of Nursing, 14th Annual Research and Evidence-Based Practice Conference, 2015
Also appears on HEHD/SOE Research Forum, Clemson University
Whitcomb, J. J., Edwards, S., Ethridge, E., Fogle, S.
Clemson University

Performance Evaluation of an Automated Single Channel Sleep-Wake Detection Algorithm
Nature and Science of Sleep, 2014, Vol. 6, 113-122
Kaplan, R., Wang, Y., Loparo, K., Kelly, M., Bootzin, R.
30x30-pdf

Classification of Stage-1 in a Single Channel Wake-Sleep Detection System
Associated Professional Sleep Societies (APSS), 2009, 23rd Annual Meeting, Sleep (32)
Kaplan, R. F., Wang, Y., Bootzin, R.R., Loparo, K.A.

A Single Channel Wake-Sleep Detection System
Associated Professional Sleep Societies (APSS), 2008, 22nd Annual Meeting, Sleep (31)
Wang, Y., Kaplan, R. F., Bootzin, R. R., and Loparo, K. A.

Evaluation of an automated system for in-home behavioral treatment of chronic insomnia: Part III
Associated Professional Sleep Societies (APSS), 2007, 21st Annual Meeting, Sleep (30)
Kaplan, R. F., Wang, Y., Bootzin, R.R., Loparo, K.A.

Evaluation of an automated system for in-home behavioral treatment of chronic insomnia: Part II
Associated Professional Sleep Societies (APSS), 2006, 20th Annual Meeting, Sleep (29)
Kaplan, R. F., Wang, Y., Bootzin, R.R., Loparo, K.A.

Evaluation of an automated system for in-home behavioral treatment of chronic insomnia: Part I
Associated Professional Sleep Societies (APSS), 2006, 20th Annual Meeting, Sleep (29)
Kaplan, R. F., Wang, Y., Bootzin, R.R., Loparo, K.A.

Very high frequency energy (Kappa) in human surface EEG: Correlation with behavioral state
Associated Professional Sleep Societies (APSS), 2000, 14th Annual Meeting, Sleep (23)
Richardson, G.S., Kaplan, R.F., Loparo, K.A., Johnson, S.E., Roth, T.

Enhancing fatigue assessment in aviation settings: Correlation of EEG-based DDAS with performance
Aviation, Space, and Environmental Medicine, 1998, 69(3)
Kaplan, R.F., Loparo, K. A., Nesthus, T.E., Schroeder, D.J.

Four-choice serial reaction time and visual search performance during 34 hr of sleep loss
Aviation, Space, and Environmental Medicine, 1998, 69(3)
Nesthus, T.E., Scarborough, A.L., Schroeder, D.J., Kaplan, R.F., Loparo, K.A. , and Thorne, D.

Subjective sleepiness ratings and body temperature during 34 hours of sleep deprivation
Aviation, Space, and Environmental Medicine, 1998, 69(3)
Schroeder, D.J., Nesthus, T.E., Scarborough, A., Thompson, J., Kaplan, R.F., Loparo, K.A.

The Zmachine Data Viewer software, which is available as a free download on our website, will run on any computer running the Windows 7 or later operating system, and Apple computers running Windows emulators. This software is powerful, easy-to-use, and runs locally on your PC to display, graph, analyze, and organize your Zmachine data. If you wish to read the files directly (i.e. without the data viewer), all sleep scoring reports and sleep statistic summaries are stored as ASCII .csv (comma separated variable) files. They can be opened directly using Excel, Matlab, text editors and statistics programs. The raw EEG data is stored as 2-Byte unsigned integers (little-endian), 16-bit resolution, and sampled at 2500Hz. Sample Matlab code available in the Support section for loading the raw EEG data files.

The very act of sleeping precludes conscious knowledge of time and events, and reliance on subjective self-reports of sleep, without objective data, can lead to an incomplete and potentially misleading picture. With the Zmachine Insight, you can now obtain objective sleep information based on the EEG signal. Automatically scored wake, light sleep, deep sleep and REM is recorded every 30 seconds in the patient’s home where sleep is most natural.

Not really. While both systems were “sleep monitors”, the Zeo was strictly a consumer product that made no medical or performance claims, whereas the Zmachine is a medical device that is cleared and regulated by the US FDA, and manufactured in FDA registered facilities. The Zmachine is used by medical professionals, academic and industrial researchers. For individuals that wish to obtain a Zmachine for themselves, you can do so by submitting a Clinician Authorization Form.

The Zmachine Insight system uses one-time-use, self-stick, disposable EEG sensors. Sensors are located completely outside of the normal hairline (mastoids and neck/shoulder ground), and are easily self-applied by the patient. As opposed to the forehead or other more obtrusive locations, the location of the sensors does not interfere with sleep. The Zmachine Insight is small, portable, and battery operated for safe and convenient in-home use.

No. The Zmachine was specifically designed for convenient, in-home use and requires very little technical knowledge to apply. The Zmachine system includes an easy-to-read User Guide, and General Sleep has produced several short videos illustrating various aspects of setting up and using the system.

No. While the data revealed by the Zmachine is highly relevant to sleep specialists and researchers, the intimate knowledge of a patient’s sleep can be highly beneficial to healthcare providers across a wide spectrum of medical specialties. Pain Management, Neurology, Sports Medicine, Geriatrics and many others are all discovering new uses for the valuable information provided by the Zmachine system. Through its unique combination of accuracy and ease-of-use, the Zmachine is making information available to healthcare providers which was previously unavailable.

The Insight+ can display any combination of EEG-derived Total Sleep Time, Sleep Efficiency, Latency to Persistent Sleep, and Wake After Sleep Onset, or none at all, and is displayed each time the user disconnects from the Zmachine. Information is updated in real time and pertains to the current night of sleep. This feature can be especially useful in treating insomnia patients with sleep state misperception.

Yes. Data from the Zmachine microSD card can be transmitted via an e-mail attachment or uploaded directly to your web portal. This information can then be imported directly into the Zmachine data viewer. No user identifiable information is contained in the Zmachine data file. Instructions are included with the Zmachine system. Healthcare providers can use this capability to receive the data files in advance of face-to-face visits to improve work flow and/or reduce the total number of visits needed. Researchers can use this capability to work remotely with test subjects to monitor compliance and/or ongoing results.

Yes, replacement accessories for your Zmachine system can be purchased directly from General Sleep. Please contact us for more details.

Using objective EEG-derived sleep state information, the Insight+ can also be programmed to produce an alert to leave bed when sleep isn’t achieved within a pre-specified period of time. This can be helpful in assisting those patients that spend too much time in bed awake in knowing when they should leave bed and stop trying to fall asleep for a while. The parameters of this alert generation can be enabled/disabled or customized by the clinician.

Basic Warranty

General Sleep Corporation warrants the Purchased Product (Zmachine Insight or Zmachine Insight+) to be free of all defects in material and workmanship for one year from the date of Purchase. This warranty is extended to the Original Buyer only.

Within this period of warranty General Sleep Corporation will repair or replace, free of charge, any product defective in material and/or workmanship. All warranty repairs and service must be performed by General Sleep Corporation. Contact General Sleep to obtain a Return Material Authorization (RMA) prior to shipping systems back for evaluation and/or repair.

Warranty Exclusions

This warranty does not apply to any costs, repairs or services for the following:

1. Damages resulting from misuse, abuse or accidents.
2. Corrective work necessitated by repairs made by someone other than General Sleep Corporation.

Automated Treatment System for Sleep
Kaplan, R., Loparo, K., Wang, Y.
United States Patent 8,512,221 (2013), Canadian Patent 2,783,015 (2013), European Patent 2,512,573 (2013), Japanese Patent 5,684,828(2015)

Apparatus and Method for High-Speed Determination of Bioelectric Electrode Impedances
Kaplan, R., Wang, Y., Loparo, K.
United States Patent 8,089,283 (2012)

Automated Insomnia Treatment System
Kaplan, R., Loparo, K.
United States Patent 7,654,948 (2010), Canadian Patent 2,516,093 (2012), Japanese Patent 4,721,451 (2011)

Alertness and Drowsiness Detection and Tracking System
Kaplan, R. F., Loparo, K. A.
United States Patent 5,813,993 (1998), Canadian Patent 2,201,694 (2004), European Patent 1,124,611 (2006), Japanese Patent 4,532,739 (2010)

Other Patents Pending….

Specifications

Size and weight
Battery
Input
Analog-to-Digital
Data Storage
Height: 4.56 inches (116 mm) Runtime: 16 hr (typical) Type: Fully differential Sampling frequency: 2.5 kHz Type: microSD/microSDHC
Width: 2.67 inches (68 mm) Nominal Voltage: 3.7 VDC Coupling: AC Sampling resolution: 16 bit Capacity: >200 hr
Depth: 0.82 inches (21 mm) Chemistry: Lithium Ion Voltage: ±500 uV Linearity: ± 1.5 LSB
Weight: 102 g Cell type: Rechargeable Voltage (maximum): ±40 V Architecture: SAR
Capacity: 950 mAh Highpass Filter Cutoff: 0.5 Hz
Charge time: 3-5 hr Lowpass Filter Cutoff: 380 Hz
Impedance: 10 GΩ || 800 pF
Size and weight
Height: 4.56 inches (116 mm)
Width: 2.67 inches (68 mm)
Depth: 0.82 inches (21 mm)
Weight: 102 g
Battery
Runtime: 16 hr (typical)
Nominal Voltage: 3.7 VDC
Chemistry: Lithium Ion
Cell type: Rechargeable
Capacity: 950 mAh
Charge time: 3-5 hr
Input
Type: Fully differential
Coupling: AC
Voltage: ±500 mV
Voltage (maximum): ±40 V
Highpass Filter Cutoff: 0.5 Hz
Lowpass Filter Cutoff: 380 Hz
Impedance: 10 GΩ || 800 pF
Analog-to-Digital
Sampling frequency: 2.5 kHz
Sampling resolution: 16 bit
Linearity: ± 1.5 LSB
Architecture: SAR
Data Storage
Type: microSD/microSDHC
Capacity: >200 hr

Contact Us

General Sleep

26250 Euclid Avenue, Suite 709
Cleveland, Ohio 44132
United States

  • (888) 330-4424