This educational activity will explore new and novel ways to measure sleep. New diagnostics being brought to patient’s homes is a forthcoming reality. In the area of sleep apnea, home sleep testing has already largely taken over except for children and those with complex medical comorbidities and neurological disease, etc.
Target Audience
This activity is intended for sleep experts, primary care clinicians, medical professionals and caregivers with an interest in sleep.
Learning Objectives
After completing this activity, the participant should be better able to:
- Examine the necessary elements in lab polysomnogram, the standard for sleep assessment.
- Define potential options for the remote monitoring of cardiac signals during sleep.
- Evaluate how integration of these cardiac signals could be utilized in improving prevention, diagnosis and therapy of sleep related diseases.
- Discuss the range of currently available home sleep and sleep disturbed breathing diagnostics and their accuracy compared to in-laboratory polysomnography.
- List home sleep devices toward better understanding of the complex relationships between sleep and health, and cardiovascular and neurological diseases.
- Explore future home sleep assessment approaches likely to become useful for home sleep assessment.
Faculty
 |
Erik K. St. Louis, M.D. |
 |
Virend K. Somers, M.D., Ph.D. |
Accreditation Statement
This activity is provided by Dane Garvin Ltd.
Physician Accreditation Statement - EACCME
Dane Garvin Ltd. is accredited by the European Accreditation Council for Continuing Medical Education (EACCME) to provide the following CME activity for medical specialists.
Physician Credit Designation - EACCME
This activity was prepared by Drs. Erik K. St. Louis and Virend K. Somers and recorded on December 12, 2023. Received ACCME approval on March 8, 2024 and EACCME approval on July 9, 2024.
Educational Grant
This educational activity is independently produced and is financially supported with an unrestricted educational grant by Philips.
References
Monitoring and integration of cardio, respiratory and neural variables during sleep
