Project Research – 2025-01-21 11:20:15
Suggested Reference Websites
STEM Project Research
Reference Websites
Mar 18, 2021 ... The purpose of the study was to determine the prevalence of computer vision syndrome (CVS) and poor sleep quality among university students.
onlinelibrary.wiley.comApr 16, 2015 ... In this study, we demonstrate that the daily interaction with a computer keyboard can be employed as means to observe and potentially quantify psychomotor ...
www.nature.comJul 21, 2015 ... ApneaLink (ResMed, USA) is a Type-4 three-channel device that measures airflow (nasal pressure transducer), oximetry, and pulse, providing an ...
onlinelibrary.wiley.comMar 18, 2021 ... Computer vision syndrome (CVS) is a cluster of eye and vision problems experienced in relation to, or during, the use of digital devices.
onlinelibrary.wiley.comFeb 15, 2024 ... Sleep, Sleep Apnea, Evaluation, EEG, AEP, ICMS. 3.1 Communication BCI for speech disorders. The emergence of BCI technology has brought direct ...
onlinelibrary.wiley.comAug 25, 2005 ... ... computers at night is increasing because of the rapid spread of information technology. ... sleep latency and decreased REM sleep. A bright ...
onlinelibrary.wiley.comFeb 21, 2019 ... Pervasive computing technologies to continuously assess ... Consumer sleep tracking devices: a critical review. Stud. Health ...
www.nature.comMar 12, 2020 ... ... technology management and sleep hygiene studies to reduce game-playing time of students. 1 INTRODUCTION. Computer and electronic games were ...
onlinelibrary.wiley.comMay 23, 2016 ... "Really, if I'm on my computer until late at night and I don't get enough sleep, I just feel dreadful the next day." Morehouse said adolescents ...
www.cbc.caApr 15, 2021 ... Up to computer memory constraints, U-Sleep processes inputs of arbitrary lengths. However, inputs shorter than 17.5 min may reduce performance ...
www.nature.comAI-Generated Project Ideas
- Create a computer program that tracks and analyzes sleep patterns, providing recommendations for improving sleep quality.
- Develop a digital technology device that assists in monitoring and adjusting sleep environments, such as temperature, lighting, and noise levels.
- Design a computer simulation that models the effects of different digital technology use on sleep habits, such as screen time before bed.
- Construct a digital tool that helps individuals create personalized sleep schedules based on their daily activities and work routines.