Peng et al., 2006
| Publication | Publication Date | Title |
|---|---|---|
| US11678838B2 (en) | Automated detection of breathing disturbances | |
| Pan et al. | Current status and future challenges of sleep monitoring systems: Systematic review | |
| JP5961235B2 (en) | Sleep / wake state evaluation method and system | |
| JP2021192801A (en) | Human detection and identification from characteristic signals | |
| AU2016323049B2 (en) | Physiological signal monitoring | |
| US9833184B2 (en) | Identification of emotional states using physiological responses | |
| US8764651B2 (en) | Fitness monitoring | |
| JP6276776B2 (en) | Electronic switch to control the device according to the sleep stage | |
| EP4165658B1 (en) | Wearable infection monitor | |
| CN114080180A (en) | Detecting and measuring snoring | |
| Peng et al. | Multimodality sensor system for long-term sleep quality monitoring | |
| US20220375590A1 (en) | Sleep staging algorithm | |
| US20220375591A1 (en) | Automatic sleep staging classification with circadian rhythm adjustment | |
| Wang et al. | Emotionsense: An adaptive emotion recognition system based on wearable smart devices | |
| Hwang et al. | Sleep period time estimation based on electrodermal activity | |
| CA3222143A1 (en) | Sleep staging algorithm | |
| Dey et al. | Wearable PPG sensor based alertness scoring system | |
| Dong et al. | Analyzing breathing signals and swallow sequence locality for solid food intake monitoring | |
| Peng et al. | A distributed multimodality sensor system for home-used sleep condition inference and monitoring | |
| Kuo et al. | An EOG-based automatic sleep scoring system and its related application in sleep environmental control | |
| Akbari et al. | Supervised classification of sleep events suitable for a minimized home-operated recording system | |
| Peng et al. | Multimodality sensors for sleep quality monitoring and logging | |
| CA3222141A1 (en) | Automatic sleep staging classification with circadian rhythm adjustment | |
| Lee et al. | Sleep Monitoring for Individuals with Spinal Cord Injury using Contact-Free Bed Sensors | |
| Meena et al. | Sleep Apnea Detection: From Signal Processing to Deep Learning |