# Integrating Mobile Devices and Wearable Technology for Optimal Sleep Conditions
###### Abstract
In 2013, the results of researchers such as [PERSON] also showed that the use of 3000 K and 6500 K lamps with color temperature and illumination of 40 lx two hours before bedtime causes melatonin to be inhibited, while alertness, happiness, and comfort are increased. In addition, the period of rapid eye movement and N1 are reduced [22]. In 2017, [PERSON] research results also revealed that people with sleep deprivation showed effects after being irradiated with 6000 K and 500 lx light in both subjective and objective tests [33]. According to the latest article published by scientist [PERSON] in 2020, light and sound are combined into one product, and brain waves are detected via the ARM module and Wi-Fi module to determine sleep quality. Light and sound are appropriately used to support sleep, a method which has been recognized by users and professional doctors in research and has a specific effect [34]. Sleep health monitoring has been achieved by upgrading hardware equipment and continuously updating physiological information analysis methods. Daily sleep information and physiological data can be stored with simple hardware equipment, and the stored sleep information and physiological data are then sent to medical centers via the Internet. By analyzing the sleep data, more accurate results can be obtained, and appropriate feedback and suggestions for medical care can be given to users. Thus, the way in which they come to know their physical conditions has changed greatly. In the past, assessing sleep quality required orchestrating a hospital admission, where polysomnography (PSG) equipment needed to be affixed, followed by completing and monitoring subjective questionnaires. PSG equipment entailed the intricate connection of multiple cables to capture the subject's physiological metrics, encompassing brain waves, electrocardiogram readings, electromyography signals, eye movements, respiration patterns, etc. This comprehensive data set was subsequently juxtaposed with the subjective questionnaire responses to glean insights into the subjects' sleep patterns and behaviors. However, contemporary advancements have introduced diverse analytical approaches to enhance the arsenal of evaluation techniques. In addition to subjective questionnaires, smart wear devices are used to monitor physiological data using small devices such as watches and headphones, which reduces the inconvenience of wearing PSG cables, and similar results can be obtained. In 2015, [PERSON], [PERSON], and other researchers studied the sleep quality of shift workers using dynamic lighting. Using an ActiGraph sleep wristband, sleep latency, wake times, and overall sleep efficiency were assessed with the help of a sleep diary and saliva samples. Even without PSG equip ment, the results showed no significant correlation between melatonin and sleep efficiency, but in the subjective test evaluation, workers in the dynamic control light environment felt better than those in the typical light environment [16]. In 2017, [PERSON], [PERSON], along with fellow researchers, delved into the impact of the environment on sleep quality. They employed a multifaceted approach encompassing environmental measurements, video recordings, and the utilization of wristbands to capture variables such as physical activity, body temperature, and heart rate. The study's findings unveiled a significant correlation, demonstrating that lower body temperature and a decreased heart rate indicated improved sleep quality in settings characterized by darkness and cooler temperatures [35]. Due to devices such as smart wearable devices and environmental sensors [36; 37; 38; 39], assessment methods other than PSG that need to be connected to a large number of biological signal measurement devices have been provided, which can help users to improve their sleep quality more quickly by obtaining the results of sleep condition analysis through simple wearable devices without having to go to the hospital to be examined for a long time, which increases the medical burden.