Nyree Penn, MHSc, CAA -
nyree penn prosomnia sleep therapy philadelphia sleep conference
Nyree Penn, MHSc, CAA
The Dynamic Duo of EEG and Anesthesia: Innovations in Sleep Technology and Chronic Sleep Disorders

Nyree Penn, MHSc, CAA is the inventor of PROSOMNIA Sleep Therapy™ and CEO of PROSOMNIA Sleep Health & Wellness™. With extensive expertise in anesthesia and clinical sleep medicine, she has […]

Nyree Penn, MHSc, CAA is the inventor of PROSOMNIA Sleep Therapy™ and CEO of PROSOMNIA Sleep Health & Wellness™. With extensive expertise in anesthesia and clinical sleep medicine, she has developed a groundbreaking solution to address sleep disorders such as chronic insomnia and REM sleep deprivation. Nyree is a published author and a dedicated advocate for advancing sleep health and wellness through innovative therapies, education, and research.

Presentation Description
This advanced session focuses on the integration of EEG monitoring and anesthesia-based therapy in addressing complex sleep disorders, particularly chronic insomnia and REM sleep deprivation. Attendees will gain insights into how EEG is used to assess sleep states, guide therapy, and monitor outcomes. The lecture bridges the gap between sleep technology and anesthetic practices, fostering innovation in chronic insomnia treatment and improving patient care.

Designed specifically for sleep technologists and related professionals, this session provides a comprehensive exploration of EEG principles in anesthesia-guided therapy while introducing novel applications in clinical sleep medicine.

Learning Objectives

Deepen knowledge of EEG parameters, including Spectral Edge Frequency (SEF), suppression ratios, and Power Spectrograms, in therapeutic applications.

Highlight the importance of identifying REM sleep disorders and monitoring therapy outcomes.

Examine EEG techniques for identifying sleep disorders like chronic insomnia and disrupted REM sleep patterns.

Compare the clinical utility of Masimo Sedline for sleep therapies, focusing on their unique features and parameters.

Use case studies to demonstrate how EEG data informs personalized treatment and optimizes outcomes in sleep disorder management.