Can heart rate sequences from wearable devices predict day-long mental states in higher education students: a signal processing and machine learning case study at a UK university
Tianhua Chen · 2024
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Description
Tianhua Chen asks if a full day of heartbeats from a wrist watch can flag a student's mind state in a 2024 study. Stress marks in most work come from short lab shocks, not real days. Here, students at a British university wore watches through free days with no set routine.
Signal tools turned the beat runs into forms a learning model can read, both raw and wave-split. The models beat a plain base line by a clear edge. The work hints that beat runs alone can sketch day-long mind states. More data is still being gathered for wider tests.
Catalog record
| CREATOR | Tianhua Chen |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 98 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |