Polygraph Holter

Sleep Apnea Detection. Arrhythmia Detection. All in One.
Spider SAS device

Spider SAS associated with Synescope software and all-in-one concept allows a comprehensive analysis of both sleep breathing disorders and rhythm pathologies.

The combination of signal recordings and customizable reports helps for the assessment of patient management.

Thanks to HookUp RS to check in real-time the quality of signals from all sensors, initialization of Spider SAS Polygraph is easy and quick.


A paramount Holter software in ambulatory ECG.

Synescope (v3.30) is a high-end ECG Holter analysis software.

It is a Multichannel and Multiday analyzer that exploits the multipurpose applications of SpiderSAS and Spiderview recorders.

Synescope is compatible with all MicroPort CRM recorders.

Synescope (v3.30)

Synescope (V3.30) embeds two analysis engines dedicated to sleep breathing disorders* and cardiac arrhythmias which offer independent polygraphy and Holter customizable reports.

Three configurations of Synescope are available:

Easy – Rhythm, ST, pacemaker, histograms, events, edition toolbox, customizable reports, embedded PDF, import/export data, HL7 interface, connectivity module (network, email, webmail).

Standard – Easy functions + Time-domain and spectral HRV + QT segment.1

Expert – Standard + T wave Variability (TVar)2–4, P wave analysis3† (Stafford) + STEP‡ (Brugada assessment).

Additional options include:

  • Uploader: To read SD/microSD cards
  • SAS: To analyze Spider SAS recordings
  • Multiple languages are available: Dutch, English, French, German, Hungarian, Italian, Japanese, Portuguese, Russian, Spanish, and Swedish

*SAS option required
†Only available with three channel high resolution recordings
‡12 channel high resolution Spiderview Plus recordings

This software is not available for sale or distribution in the USA. For further information on product availability, please contact your local representative.


  1. Thomakos P, et al. Cigarette Smoking Is Associated with Prolongation of the QTc Interval Duration in Patients with Type 2 Diabetes Mellitus. Int J Endocrinol. 2013;2013:329189.
  2. Extramiana F, et al. Beat-to-beat T-wave amplitude variability in the long QT syndrome. Europace. 2010;12:1302–07.
  3. Sobue Y, et al. Beat-to-beat variability of T-wave amplitude for the risk assessment of ventricular tachyarrhythmia in patients without structural heart disease. Europace. 2011;13:1612–18.
  4. Stojkovic S, et al. T-Wave Variability for the Prediction of Fast Ventricular Arrhythmias, Prospective, Observer-Blind Study.
    Circulation. 2015;79:318–24.
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