K
K. Ashoka Reddy
Researcher at Kakatiya Institute of Technology and Science
Publications - 65
Citations - 704
K. Ashoka Reddy is an academic researcher from Kakatiya Institute of Technology and Science. The author has contributed to research in topics: Orthogonal frequency-division multiplexing & Photoplethysmogram. The author has an hindex of 14, co-authored 62 publications receiving 608 citations. Previous affiliations of K. Ashoka Reddy include Indian Institute of Technology Madras & Kakatiya University.
Papers
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Proceedings ArticleDOI
Evaluation of wavelets for reduction of motion artifacts in photoplethysmographic signals
TL;DR: Test results reveal that the estimated Spo2 values from MA reduced PPGs using different wavelets are very close to each other, establishing that the Daubechies wavelet is the most preferred wavelet for pulse oximetry applications.
Journal ArticleDOI
Robust Extraction of Respiratory Activity From PPG Signals Using Modified MSPCA
TL;DR: This paper presents a robust algorithm called modified multi scale principal component analysis (MMSPCA), for extraction of respiratory activity embedded in the PPG signals, which clearly outperformed the conventional MSPCA-based method in the presence of MA.
Proceedings ArticleDOI
Estimation of respiration rate from ECG, BP and PPG signals using empirical mode decomposition
TL;DR: Test results on ECG, BP and PPG signals of the well known MIMIC database from Physiobank archive reveal that the proposed EMD method has efficiently extracted respiratory information from ECG; the evaluated similarity parameters in both time and frequency domains have shown the superiority of the method.
Journal ArticleDOI
ICA-Based Improved DTCWT Technique for MA Reduction in PPG Signals With Restored Respiratory Information
M. Raghu Ram,K. Venu Madhav,Ette Hari Krishna,Nagarjuna Reddy Komalla,K. Sivani,K. Ashoka Reddy +5 more
TL;DR: The I2DTCWT outperformed other DTCWT processing methods in respect of MA reduction and the computed spectra revealed that safe extraction of respiratory information is guaranteed from these MA reduced PPGs, and resulted in less computation cost compared to the MASIMO SET.
Proceedings ArticleDOI
Dual-tree complex wavelet transform for motion artifact reduction of PPG signals
M. Raghuram,K. Venu Madhav,E. Hari Krishna,Nagarjuna Reddy Komalla,K. Sivani,K. Ashoka Reddy +5 more
TL;DR: Experimental results revealed that DTCWT processing of MA corrupted PPG's outperformed the db10 wavelet processing for MA reduction of PPG signals and can be referred as best suitable MA reduction technique for pulse oximetry applications.