Artificial intelligence accurately charts sleep stages without intrusive brain sensors

Artificial intelligence accurately charts sleep stages without intrusive brain sensors

Researchers have developed an artificial intelligence model capable of tracking a person’s sleep stages using only three simple physical measurements. The system analyzes heart rate, blood oxygen levels, and abdominal breathing to chart sleep second by second without requiring invasive brain wave sensors. The findings, published in the Journal of Sleep Research, offer a pathway for making clinical sleep tracking more comfortable and accessible f…