caa a22 4500 605509751 CHVBK 20210128100642.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s10877-014-9572-8 doi (NATIONALLICENCE)springer-10.1007/s10877-014-9572-8 Morphological analysis of peripheral arterial signals in Takayasu's arteritis [Elektronische Daten] [Lakshmanan Suganthi, M. Manivannan, Brajesh Kunwar, George Joseph, Debashish Danda] Takayasu's arteritis disease (TA) remains a rarely studied chronic inflammatory disease. Our objective is to analyze peripheral pulse using photoplethysmography (PPG) as a new assessment method for diagnosing TA. So far no literature reports detailed morphological analysis of TA PPG signals. PPG signals of twenty normal and twenty TA patients at five different regions such as left and right thumbs, left and right toes and neck have been acquired simultaneously. Morphological parameters of peripheral signals such as peak-to-peak time, the crest time (CT), reflection index (RI), maximum systolic slope (MSS), maximum diastolic slope, pulse height, area under pulse and pulse transit time are obtained from PPG and electro cardiogram of normal and TA patients. Surprisingly RI is different in all the five locations of TA patients, whereas it is same for normal in all five locations. Mean MSS are significantly lesser than normal subjects. Mean CT of normal subjects is always lesser than normal subject. Morphological parameters based classification method has sensitivity of 80-100 and specificity of 86-100 in all limbs/all parameters. Bilateral dissimilarity in morphological parameters of multi site peripheral signals in the TA patients can be used to diagnose TA patients and find the pathological site. Less population is studied which reflects the rarity of the TA disease. Springer Science+Business Media New York, 2014 Takayasu's arteritis nationallicence Arterial stiffness nationallicence Photoplethysmography nationallicence Morphological analysis nationallicence Pulse wave velocity nationallicence Suganthi Lakshmanan Department of Applied Mechanics, Indian Institute of Technology Madras, 600036, Chennai, Tamilnadu, India aut Manivannan M. Department of Applied Mechanics, Indian Institute of Technology Madras, 600036, Chennai, Tamilnadu, India aut Kunwar Brajesh Department of Cardiology, Christian Medical College, Vellore, India aut Joseph George Department of Cardiology, Christian Medical College, Vellore, India aut Danda Debashish Department of Clinical Immunology and Rheumatology, Christian Medical College, Vellore, India aut Journal of Clinical Monitoring and Computing Springer Netherlands 29/1(2015-02-01), 87-95 1387-1307 29:1<87 2015 29 10877 https://doi.org/10.1007/s10877-014-9572-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10877-014-9572-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Suganthi Lakshmanan Department of Applied Mechanics, Indian Institute of Technology Madras, 600036, Chennai, Tamilnadu, India aut NATIONALLICENCE 700 1- Manivannan M. Department of Applied Mechanics, Indian Institute of Technology Madras, 600036, Chennai, Tamilnadu, India aut NATIONALLICENCE 700 1- Kunwar Brajesh Department of Cardiology, Christian Medical College, Vellore, India aut NATIONALLICENCE 700 1- Joseph George Department of Cardiology, Christian Medical College, Vellore, India aut NATIONALLICENCE 700 1- Danda Debashish Department of Clinical Immunology and Rheumatology, Christian Medical College, Vellore, India aut NATIONALLICENCE 773 0- Journal of Clinical Monitoring and Computing Springer Netherlands 29/1(2015-02-01), 87-95 1387-1307 29:1<87 2015 29 10877