Choose your language
Sleep Technologist Course
More than 2 million students worldwide

Sleep Technologist Course

4.5

Master the technical and clinical skills required to work as a competent polysomnography technologist. This course covers everything from electrode application and signal acquisition to sleep staging, respiratory scoring, and report writing. If you are serious about a career in sleep medicine, this is where you build the foundation.

Dedika for businesses

What you will learn:

You will gain a thorough understanding of sleep physiology, circadian biology, and the full range of sleep disorders encountered in a clinical lab. You will learn how to set up and troubleshoot PSG recording equipment, apply electrodes correctly, and acquire clean, interpretable signals across all physiological channels. The course walks you through AASM-compliant scoring rules for sleep stages, arousals, respiratory events, cardiac rhythms, and limb movements. You will also learn how to recognise parasomnias, adapt protocols for paediatric and complex patients, and perform PAP titration studies. By the end, you will be able to produce complete, accurate PSG reports that support physician diagnosis and management planning.

How you study in practice Sleep Technologist Course

How you practise Sleep Technologist Course

For companies looking to train their team

With Dedika for businesses, the course includes exercises and examples tailored to your own business and the specific needs of your company.

Click here

Course content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Sleep Medicine

  • Lesson 1 • Normal Sleep Architecture

    Defines NREM and REM stages, cycling patterns, and age-related changes. Establishes the baseline against which pathological recordings are compared.

  • Lesson 2 • Anatomy of the Sleep System

    Covers brain structures, neurotransmitters, and pathways governing sleep-wake transitions. Provides the biological basis for interpreting polysomnographic findings.

  • Lesson 3 • Overview of Sleep Disorders

    Surveys major diagnostic categories including insomnias, hypersomnias, parasomnias, and sleep-related breathing disorders. Frames the clinical context for polysomnography.

  • Lesson 4 • Circadian Rhythm Principles

    Explains the two-process model of sleep regulation and circadian timing. Connects chronobiology to clinical presentations of sleep disorders.

  • Lesson 5 • Patient History and Sleep Questionnaires

    Introduces validated tools for pre-study assessment including sleepiness scales and sleep diaries. Prepares technologists to gather clinically useful intake data.

Chapter 2See details

Polysomnography Equipment and Setup

  • Lesson 1 • PSG Recording System Components

    Identifies amplifiers, analog-to-digital converters, and acquisition software. Understanding hardware architecture supports accurate signal configuration.

  • Lesson 2 • Pre-Study Calibrations and Checks

    Covers biocalibration procedures, filter settings, and sensitivity adjustments. Systematic pre-study checks prevent data loss and ensure interpretable recordings.

  • Lesson 3 • Standard Montage Configuration

    Defines the AASM-recommended electrode placement system and channel assignments. Students build a complete montage meeting current clinical standards.

  • Lesson 4 • Electrode and Sensor Types

    Covers EEG cup electrodes, EOG leads, EMG sensors, and respiratory transducers. Correct sensor selection ensures signal fidelity across all physiological channels.

  • Lesson 5 • Electrode Application Techniques

    Teaches scalp preparation, impedance reduction, and secure adhesion methods. Proper application minimises artifact and ensures recording quality throughout the night.

Chapter 3See details

EEG Signal Acquisition and Interpretation

  • Lesson 1 • Digital Filtering and Display Settings

    Covers high-pass, low-pass, and notch filter applications for EEG optimisation. Appropriate filter use preserves clinically relevant signal components.

  • Lesson 2 • Fundamentals of EEG Waveforms

    Defines frequency bands, amplitude, and morphology of brain electrical activity. Provides the vocabulary needed for systematic EEG review.

  • Lesson 3 • Referential and Differential Derivations

    Explains linked-ear, average, and bipolar reference schemes and their effect on signal appearance. Derivation choice influences waveform localisation and amplitude.

  • Lesson 4 • Sleep-Specific EEG Graphoelements

    Identifies K-complexes, sleep spindles, vertex sharp waves, and slow-wave activity. Recognition of these elements is essential for accurate sleep staging.

  • Lesson 5 • EEG Artifact Recognition

    Distinguishes biological and technical artifacts from true cerebral signals. Artifact identification prevents misscoring and supports data integrity.

Chapter 4See details

Sleep Staging and Scoring Rules

  • Lesson 1 • Hypnogram Construction and Interpretation

    Translates epoch-by-epoch scoring into a visual hypnogram and summary statistics. Hypnogram patterns guide clinical interpretation and report generation.

  • Lesson 2 • Scoring Rules for REM Sleep

    Identifies low-amplitude mixed-frequency EEG, rapid eye movements, and atonic chin EMG. REM scoring accuracy is critical for diagnosing REM-related disorders.

  • Lesson 3 • Scoring Rules for Wake and N1

    Defines alpha attenuation, low-amplitude mixed-frequency activity, and slow eye movements. Distinguishes wakefulness from the lightest NREM stage.

  • Lesson 4 • Arousal Scoring and Transitions

    Defines EEG frequency shifts signalling arousals and rules for stage transitions. Arousal index calculation links to clinical measures of sleep fragmentation.

  • Lesson 5 • Scoring Rules for N2 and N3

    Applies spindle and K-complex criteria for N2 and slow-wave amplitude thresholds for N3. Accurate N2/N3 distinction reflects sleep depth and restorative quality.

Chapter 5See details

Respiratory Monitoring and Scoring

  • Lesson 1 • Oxygen Desaturation Scoring

    Defines desaturation event criteria and calculates oxygen desaturation index. Oximetry data contextualises respiratory event severity.

  • Lesson 2 • Cheyne-Stokes and Hypoventilation Patterns

    Recognises crescendo-decrescendo breathing and CO2-based hypoventilation criteria. These patterns indicate central nervous system or cardiopulmonary pathology.

  • Lesson 3 • Respiratory Effort-Related Arousals

    Identifies RERA patterns using oesophageal pressure or surrogate signals. RERA scoring contributes to the respiratory disturbance index calculation.

  • Lesson 4 • Apnoea and Hypopnoea Scoring

    Applies duration, amplitude, and desaturation criteria to classify obstructive, central, and mixed apnoeas. Accurate event scoring determines AHI and treatment eligibility.

  • Lesson 5 • Respiratory Signal Channels

    Covers airflow thermistors, pressure transducers, effort belts, and capnography. Each sensor type captures distinct aspects of respiratory physiology.

Chapter 6See details

Cardiac and Movement Monitoring

  • Lesson 1 • ECG Recording in PSG

    Covers single-lead ECG placement, signal optimisation, and rate calculation. Cardiac monitoring during PSG detects arrhythmias linked to sleep-disordered breathing.

  • Lesson 2 • Bruxism and Other Motor Events

    Identifies rhythmic masticatory muscle activity and isolated leg movements. Distinguishes these events from PLMs and parasomnias in the scoring context.

  • Lesson 3 • Periodic Limb Movement Scoring

    Applies series, interval, and amplitude rules to score PLMs and calculate PLMI. PLM scoring supports diagnosis of periodic limb movement disorder.

  • Lesson 4 • Limb Movement Recording

    Defines anterior tibialis EMG placement and signal parameters for leg movement detection. Accurate limb EMG setup is prerequisite to movement disorder scoring.

  • Lesson 5 • Cardiac Arrhythmia Recognition

    Identifies sinus bradycardia, tachycardia, asystole, and atrial fibrillation in PSG recordings. Recognising reportable rhythms ensures timely clinical response.

Chapter 7See details

Parasomnias and Special Populations

  • Lesson 1 • NREM Parasomnia PSG Features

    Identifies slow-wave sleep instability, confusional arousals, and sleepwalking EEG patterns. PSG findings differentiate NREM parasomnias from nocturnal seizures.

  • Lesson 2 • REM Sleep Behaviour Disorder

    Defines REM without atonia criteria and video-PSG documentation requirements. RBD identification has critical implications for neurodegenerative disease screening.

  • Lesson 3 • Paediatric PSG Adaptations

    Applies age-specific scoring rules for infants and children including different stage criteria. Paediatric normative values differ substantially from adult reference ranges.

  • Lesson 4 • Complex and High-Acuity Patients

    Addresses protocol modifications for patients with neuromuscular disease, obesity, or ICU status. Technologist adaptability ensures data quality across diverse clinical scenarios.

  • Lesson 5 • Nocturnal Seizure Recognition

    Distinguishes epileptiform discharges from sleep graphoelements and parasomnias. Expanded EEG montages and video documentation support seizure characterisation.

Chapter 8See details

PSG Report Generation and Clinical Application

  • Lesson 1 • Split-Night Study Design

    Defines criteria for transitioning from diagnostic to titration within a single night. Split-night protocols maximise efficiency while maintaining diagnostic validity.

  • Lesson 2 • Structured Report Writing

    Organises findings into standardised sections covering technical quality, sleep architecture, and event summaries. Clear report structure facilitates physician review and billing accuracy.

  • Lesson 3 • Titration Study Protocols

    Covers CPAP, BiPAP, and ASV titration procedures and pressure adjustment criteria. Titration studies translate diagnostic findings into individualised therapy settings.

  • Lesson 4 • Quality Assurance and Scoring Reliability

    Implements inter-rater reliability checks, scoring audits, and corrective feedback loops. QA processes maintain laboratory accreditation standards and patient safety.

  • Lesson 5 • PSG Summary Statistics

    Calculates total sleep time, sleep efficiency, stage percentages, AHI, PLMI, and arousal index. These metrics form the quantitative core of every diagnostic report.

Certification

Your valid completion certificate

This course is for you:

  • Aspiring sleep technologists: ready to enter a specialized allied health field.

  • EMT or respiratory therapy graduates: seeking a clinical pivot into sleep medicine.

  • Medical assistants: wanting to expand their scope into diagnostic sleep testing.

  • Neuroscience or biology students: eager to connect academic knowledge to clinical practice.

  • Healthcare workers in neurology or pulmonology: looking to formalize sleep study skills.

  • Career changers from non-medical backgrounds: drawn to overnight diagnostic lab work.

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

Top trainings

FAQ

Who is Dedika?

Is the certificate valid in Nigeria?

Are the courses free?

What is the course workload?

What are the courses like?

How do the courses work?

What is the duration of the courses?

What is the cost or price of the courses?

What is an EAD or online course and how does it work?

PDF Course