Real-Time Monitoring of Sleep Patterns Using Wearable EEG Sensors

Novel approach in sleep research and monitoring: Real-time monitoring of sleep patterns using wearable EEG sensors. It works using non-invasive EEG sensors that can be placed on the head. This enables the continuous and personalized tracking and assessment of sleep patterns. This kind of detailed information on various phases associated with sleep has the possibility of dramatically changing diagnoses and management related to sleep problems. Sleep disorders are typically under diagnosed or misdiagnosed today because traditional approaches self-report or overnight sleep studies only provide limited data. These newly developed wearable EEG sensors are lightweight and comfortable, which makes the latter ideal for long-term use. They are also provided with a wireless connection to an external monitoring system to enable the real-time transfer of data. This allows a more detailed examination of sleep cycles, including total time spent in each stage, along with disruptions via apnea and somnambulism. The potential applications of this technology are fully connected to daily devices used like smart watches and fitness trackers, which could benefit more people in a wider range for self-monitoring and tracking purposes on sleeping patterns.

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/autocom64127.2025.10956367
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
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Real-Time Monitoring of Sleep Patterns Using Wearable EEG Sensors

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Real-Time Monitoring of Sleep Patterns Using Wearable EEG Sensors

Satyaswarup Tripathy, Azra Jeelani, V. Pushparajesh, Girija Shankar Sahoo, Sorabh Sharma, Abhishek Singla
article en

Abstract

Novel approach in sleep research and monitoring: Real-time monitoring of sleep patterns using wearable EEG sensors. It works using non-invasive EEG sensors that can be placed on the head. This enables the continuous and personalized tracking and assessment of sleep patterns. This kind of detailed information on various phases associated with sleep has the possibility of dramatically changing diagnoses and management related to sleep problems. Sleep disorders are typically under diagnosed or misdiagnosed today because traditional approaches self-report or overnight sleep studies only provide limited data. These newly developed wearable EEG sensors are lightweight and comfortable, which makes the latter ideal for long-term use. They are also provided with a wireless connection to an external monitoring system to enable the real-time transfer of data. This allows a more detailed examination of sleep cycles, including total time spent in each stage, along with disruptions via apnea and somnambulism. The potential applications of this technology are fully connected to daily devices used like smart watches and fitness trackers, which could benefit more people in a wider range for self-monitoring and tracking purposes on sleeping patterns.

Jain University (IN), Presidency University (IN), Siksha O Anusandhan University (IN), Maharishi University of Management and Technology (IN), Chitkara University (IN)
Openalex Percentile: Top 93%
EEG and Brain-Computer Interfaces
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