Abstract

Sleep is vital in maintaining overall health and cognitive function. Sleep disorders, like insomnia, can significantly impact sleep quality and quantity, leading to adverse effects on humans. Around 30% of the adult population in the world has insomnia symptoms. Current treatments for insomnia include lifestyle changes, therapy, and medication, but they often have limitations and potential side effects. Non-invasive electronic methods have shown promise in addressing sleep problems, but they lack feedback on the patient’s sleep condition. The study utilised a system that monitored heart rate, blood oxygen saturation, body temperature, and body movement. A microcontroller-based circuitry integrated the sensor data and provided real-time feedback. The electromagnetic coil generated a sleep-inducing electromagnetic field in the delta frequency band. The developed sleep inducer successfully monitored all the selected vital parameters. The microcontroller processed the sensor data and triggered the electromagnetic coil when deviations from specified conditions were detected. The system operated effectively to induce sleep, maintaining the coil activation for at least 5 minutes per parameter above threshold levels. We also tested the device on one volunteer for two consecutive days. The non-invasive sleep inducer demonstrated potential as an effective tool for insomnia treatment. By incorporating monitoring and feedback techniques, it addressed the limitations of existing methods and provided personalised sleep-inducing effects. The system’s low cost, simplicity, and patient comfort make it a promising alternative for insomnia management. Further research and refinement are necessary to enhance the system’s efficacy and ensure long-term safety due to limited testing.

Authors

Amit Kumar Singh¹, A. Madhumitha², A. Keerthika³, M. Pavithra⁴, S. Yazhini⁵
Vignan’s Foundation for Science, Technology and Research, India¹, VSB Engineering College, India^2,3,4,5

Keywords

Sleep Inducer, Non-Invasive Insomnia Treatment, Vital Sign Monitoring, Feedback Technique