BCGNet: an AI model trained on 600 K hours of sleep data for a novel under-pillow contactless monitoring device.
Overview & Synopsis
Open access biomedical research article published in NPJ Digit Med.
Indexed from repository: PubMed Central
(
pmc.ncbi.nlm.nih.gov)
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Document Information
| Document Title | BCGNet: an AI model trained on 600 K hours of sleep data for a novel under-pillow contactless monitoring device. |
|---|---|
| Author / Organization | Chen S, Chen X, Huang W, Lei F, Shan C, Jin Z, Shi Y, Wang Y, Zhao R, Xu X, Lv D, Li Y, Pan S, Chiang A, Westover MB, Hong S, Zhang C, Yin S, Liu CF, Yi H, Tang X, Leng Y |
| Subject & Discipline | NPJ Digit Med |
| Categories | Medicine & Health |
| Publication Year | 2026 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
PubMed Central
(pmc.ncbi.nlm.nih.gov)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-141701 |
| Original Source Link | Visit Source Page on pmc.ncbi.nlm.nih.gov » |