ISSN: 2319-9865

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Sleep Monitoring Techniques

Srinitha Choudhary*

Department of Pharmacy, Vishwanadha Institute of Pharmaceutical Sciences, Vishakhapatnam, India

Corresponding Author:
Srinitha Choudhary
Vishwanadha Institute of Pharmaceutical Sciences
Vishakhapatnam, India
E-mail: [email protected]

Received Date: 02/02/2021; Accepted Date: 12/02/2021; Published Date: 19/02/2021

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Keywords

Sleep disorders, Sleep assessment, Poor sleep

Introduction

Sleep is vital for human health. Sleep disorders often signal for ill health and also indicate about upcoming health complications. Therefore, sleep assessment is very important factor among many of health checkup. As such, several health care systems establish mechanisms to check sleep disorders by providing precise strategies in relation to educational and awareness of better sleep practices.

In due course of time several sleep assessment methods have emerged. Mainly in this decade, new methods in combination to advanced technologies like mobile apps and certain hardware sensors to measurer the responses through skin. We reviewed few recent methods for sleep detection ranging from simple those only make a distinction between awake or asleep states to complex; distinguish between different sleep stages.

Main Text

The very close to the truth or true number test/evaluation of sleep is very important to better understand and figure out the worth, amount, or quality of its role in health and disease. The boom in wearable technology is part of the digital health revolution and is producing many novel, highly fancy or smart and cheap related to people who use a product or service devices collecting data from many sensors and claiming to extract information about users' behaviors, including sleep. These devices are now able to earn the loyalty and affection of different bio-signals for deciding/figuring out, for example, heart rate and its quality of changing over time or at different places, skin conductance, and temperature, in addition to activity. They do/complete 24/7, creating almost completely large datasets, with the possible power or ability within/possibility of offering a never-before-seen window on users' health. Unfortunately, little guidance exists within and outside the scientific sleep community for their use, leading to confusion and argument-causing event/arguments between people about their something is truly what it claims to be and application. The current the best design available now review aims to highlight use, validation and utility of person who uses a product or service wearable sleep-trackers in medicine-based practice and research. Guidelines for a test that asks everyone the same questions and that is scored the same way for everyone of device performance is thought of/considered necessary, and several very important factors or unique sets of computer instructions, device not work properly/failure to work properly, firmware updates need to be thought about/believed before using these devices in medicine-based and sleep research rules of conduct. In the end, wearable sleep technology holds promise for advancing understanding of sleep health, however, a careful path forward needs to be traveled safely through, understanding the benefits and hidden traps of this technology as applied in sleep research and medicine-based sleep medicine.

Conclusion

The Bodymedia Sensewear unit offers a practical and reliable option for monitoring sleep in athletic populations. Subjective sleep data extracted from athletic populations should be interpreted with caution given the established poor correlation between subjective and objective sleep data. While within healthy ranges athletes have poorer sleep patterns than the general population and interstate air travel does not appear to influence sleep.