Category: Parkinson's Disease: Non-Motor Symptoms
Objective: To examine the validity of a new wireless wearable system which measures EEG, EOG and sEMG for the assessment of sleep and sleep related disorders.
Background: Sleep is one of the most essential pre-requisites for both physical and mental health. Sleep related disorders may be a primary disorder or secondary such as REM sleep behavior disorder (RBD) associated with neurodegeneration. The gold standard for assessing sleep physiology is Video Polysomnography (vPSG). Despite its accuracy, it is expensive and captures only one night of sleep in an unfamiliar environment. To date, there is no convenient, validated system in clinical use, which allows for assessment of sleep stages in the person’s home.
Method: Twenty-five participants, 15 older adults (mean age55.0±7.7, 60%M) and 10 patients with Parkinson’s disease (PD) (mean age 67.7±9.6, 60%M) were invited to sleep in a PSG Lab for one night. Recordings from the new wearable system were collected in conjunction with the standarized vPSG. Sleep assessment was based on 30-sec epoch using the American Association for Sleep Medicine (AASM) criteria. The systems were then compared to determine agreement.
Results: Total agreement between the systems was 772±5%. Percent agreement in wake was 86%; N1=23%; N2=82%; N3=66% and REM=73%. The most common disagreement in scoring was between N1 as W (37%). RBD and possible RBD was identified in 5 cases (83%, 5 out of 6 detected in vPSG).
Conclusion: Our findings indicate that wearable technology measuring physiological signals can be a valid tool as compared to the gold-standard vPSG and capable of capturing sleep patterns in health and disease. The findings suggest that such a system could be reliably used for monitoring individuals in their home environment, potentially over several nights. Such assessment has the potential to improve clinical research, discover new intrinsic habitual sleep patterns, and be used as a screening tool to examine sleep disorders as an early marker for neurodegeneration.
To cite this abstract in AMA style:S. Oz, A. Dagay, S. Katzav, D. Wasserman, E. Harduff, Y. Hanein, A. Mirelman. Validation of a wireless Home-Based Sleep Laboratory for assessment of sleep-related disorders in Parkinson’s disease [abstract]. Mov Disord. 2022; 37 (suppl 2). https://www.mdsabstracts.org/abstract/validation-of-a-wireless-home-based-sleep-laboratory-for-assessment-of-sleep-related-disorders-in-parkinsons-disease/. Accessed September 28, 2023.
« Back to 2022 International Congress
MDS Abstracts - https://www.mdsabstracts.org/abstract/validation-of-a-wireless-home-based-sleep-laboratory-for-assessment-of-sleep-related-disorders-in-parkinsons-disease/