Non-intrusive RF sensing for early diagnosis of spinal curvature syndrome disorders

Ali Mustafa, Farman Ullah, Mobeen Ur Rehman, Muhammad Bilal Khan, Shujaat Ali Khan Tanoli, Muhammad Kaleem Ullah, Hamza Umar, Kil To Chong

Abstract: Highlights•Contactless RF sensing approach for monitoring and detecting human spinal curvature syndrome disorders.•Software defined radio (SDR) based platform development for early diagnostics of spinal disorders.•Spinal disorder identification by the minute variations in orthogonal frequency division multiplexing (OFDM) sub-carriers through wireless radio frequency channel using channel state information (CSI).•Analysis of various machine learning algorithms for accurate performance comparison to classify the spine disorder.