HIGHLIGHTS
- who: Shagen Djanian from the Link to from University University, Department of Computer Science, Denmark have published the Article: Sleep classification using Consumer Sleep Technologies and AI: A review of the current landscape, in the Journal: (JOURNAL) of 21/06/2022
- what: This approach has the benefit of using input that has been well studied and builds on an existing foundation. The authors provide a summary of CST devices and ML algorithm performance in classifying sleep stages. Throughout this review the authors aim to provide a future outlook for researchers outside the area of machine_learning . . .
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