Heart signal analysis based on optical biosensors: integrating AI technology into human health monitoring
Anvar JabborovNamangan State Technical University (Uzbekistan)Sherzod KorabayevNamangan State Technical University (Uzbekistan)Jahongir SoloxiddinovNamangan State Technical University (Uzbekistan)Ahtam A. QosimovNamangan State Technical University (Uzbekistan)Doniyor SobirovUrgench State University (Uzbekistan)Rashidbek AtajanovState Academy of Choreography of Uzbekistan (Uzbekistan)Shokhsanam KholboyevaNamangan State Technical University (Uzbekistan)
2025
ABI
Abstract
This scientific article reviews optical sensors used in cardiac monitoring — Photoplethysmography (PPG) and Fiber Bragg Grating (FBG) technologies, as well as their integration with artificial intelligence (AI) models. PPG and FBG sensors allow for non-invasive detection of heart rate, blood pressure, and cardiac anomalies. AI models, in particular CNN, LSTM, Transformer, and Explainable AI approaches, provide high accuracy, energy efficiency, and real-time processing capabilities for detecting complex patterns in cardiac signals. The article analyzes the existing scientific literature and compares technologies, highlights problems and solutions. It also shows the prospects for future health monitoring systems based on these technologies.
Topics
Identifiers
Citations and references
Cited by 00 references
Metrics — AkademScholar · Coming soon