Personalized Aromatherapy using Artificial Intelligence
DOI:
https://doi.org/10.5281/zenodo.16018669Keywords:
Aromatherapy, Personalized Medicine, Personalized Pharmacy, Polysomnography, Artificial Intelligence, Machine Learning, Wearable DeviceAbstract
This paper proposes a personalized aromatherapy approach utilizing artificial intelligence and robotics. The methodology involves providing the patient with several types of plant essential oils, as determined by a physician, that possess therapeutic potential for a specific condition. Simultaneously, various polysomnography (PSG) studies are conducted on the patient using multiple sensors integrated into wearable devices. The impact of each essential oil is recorded at different time points and under various conditions. Ultimately, an intelligent system automatically designs a unique fragrance for the patient by combining the essential oils that demonstrated the most significant positive effects on their physiological parameters. This personalized fragrance is then provided to the patient for both its aromatic and therapeutic benefits. This research design aims to acquire various vital signs of patients using a single integrated wearable device instead of multiple diagnostic instruments, and to analyze these signals using a single processor.
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