Unmasking the Prodrome: A Deep-Learning Bridge to Precision Diagnostics in Rapid Eye Movement Sleep Behavior Disorder
Kyum-Yil Kwon · 2026
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Description
Kyum-Yil Kwon writes an editorial on using deep learning to diagnose a sleep disorder that warns of coming brain disease, published in 2026. In REM sleep behavior disorder, people act out dreams because the normal paralysis of sleep fails. Confirmed cases are now understood as an early stage of Parkinson's disease and related disorders, so catching the condition early opens a window for future protective treatments.
Diagnosis today depends on sleep-lab recordings read by scarce specialists, a slow and partly subjective process. The editorial discusses a multicenter study in the same journal issue that automates the reading of muscle-activity signals with a convolutional network. Kwon highlights the shift from hand-built features to learned ones as the real advance, while the field still needs wider validation.
Catalog record
| CREATOR | Kyum-Yil Kwon |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 6 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |