
Sleep Technologist Course
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.
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.
Course content
8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Sleep Medicine
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 2HideHide detailsSee detailsPolysomnography Equipment and Setup
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 3HideHide detailsSee detailsEEG Signal Acquisition and Interpretation
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 4HideHide detailsSee detailsSleep Staging and Scoring Rules
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 5HideHide detailsSee detailsRespiratory Monitoring and Scoring
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 6HideHide detailsSee detailsCardiac and Movement Monitoring
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 7HideHide detailsSee detailsParasomnias and Special Populations
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 8HideHide detailsSee detailsPSG Report Generation and Clinical Application
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.
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.
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