A sensor-based wrist pulse signal processing and lung cancer recognition

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Highlights

  • A novel iterative sliding window (ISW) algorithm for baseline wanders removal is proposed.

  • Twenty-six features are extracted at the first time by having an insight on JPD theory.

  • Distinguish the pulse waveform of lung cancer patients from that of healthy individuals using CSVM.

Abstract

Pulse diagnosis is an efficient method in traditional Chinese medicine for detecting the health status of a person in a non-invasive and convenient way. Jin’s pulse diagnosis (JPD) is a very efficient recent development that is gradually recognized and well validated by the medical community in recent years. However, no acceptable results have been achieved for lung cancer recognition in the field of biomedical signal processing using JPD. More so, there is no standard JPD pulse feature defined with respect to pulse signals. Our work is designed mainly for care giving service conveniently at home to the people having lung cancer by proposing a novel wrist pulse signal processing method, having an insight from JPD. We developed an iterative slide window (ISW) algorithm to segment the de-noised signal into single periods. We analyzed the characteristics of the segmented pulse waveform and for the first time summarized 26 features to classify the pulse waveforms of healthy individuals and lung cancer patients using a cubic support vector machine (CSVM). The result achieved by the proposed method is found to be 78.13% accurate.

Keywords

Lung cancer recognition
Pulse signal processing and analysis
Iterative sliding window (ISW)
Feature extraction
Jin’s pulse diagnosis (JPD)
Cubic support vector machine (CSVM)

Cited by (0)

Zhichao Zhang received her BS in Computer Science in 2015 from University of Jinan, China. She is a master student majoring in computer science at Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, and is currently a visiting student sponsored by the EU's Erasmus+ program at the Faculty of Electrical Engineering, University of Ljubljana, Slovenia. As a first author, she currently has 6 papers published/accepted in biomedical signal processing and M-Health. She is a member of both ACM and CCF. Her current research interests include biomedical signal/image processing, machine learning and pattern recognition.

Yuan Zhang received his M.S. degree in Communication Systems and Ph.D. degree in Control Theory & Engineering both from Shandong University, China, in 2003 and 2012 respectively. He is currently an Associate Professor at University of Jinan, China. Dr. Zhang was a visiting professor at Computer Science Department, Georgia State University, USA, in 2014. As the first author or corresponding author he has published more than 50 peer reviewed papers in international journals and conference proceedings, 1 book chapters, and 6 patents in the areas of wireless networks and M-Health. He has served as Leading Guest Editor for five special issues of IEEE, Elsevier, Springer and InderScience publications, including IEEE Internet of Things Journal special issue on Wearable Sensor Based Big Data Analysis for Smart Health, and has served on the technical program committee for numerous international conferences. He is an associate editor for IEEE Access. Dr. Zhang’s research interests are in smart sensing system and mHealth, currently focusing on wearable sensing and big data analytics in healthcare domain. His research has been extensively supported by the Natural Science Foundation of China, China Postdoctoral Science Foundation, and Natural Science Foundation of Shandong Province with total grant funding over 1.3 million RMB. Dr. Zhang is a Senior Member of both IEEE and ACM. For more information, please refer to http://uslab.ujn.edu.cn/index.html.

Lina Yao received the Ph.D. and M.Sc., both in Computer Science, from the University of Adelaide, Australia, and B.E. from Shandong University, China. She is currently a tenured Assistance Professor at School of Computer Science and Engineering, the University of New South Wales. Her research interests include data mining, Internet of Things, pervasive and ubiquitous computing and service computing. She is the author of more than 50 publications, including ACM TKDD, ACM TIST, ACM TOIT, IEEE TSC, IEEE TKDE, IEEE TPDS, etc. She is the recipient of Australia Research Council Discovery Early Career Researcher Award in 2015. She is a member of the ACM, IEEE and SIAM.

Houbing Song received the Ph.D. degree in Electrical Engineering from the University of Virginia, Charlottesville, VA, in August 2012. Currently he is an Assistant Professor and the Founding Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us) in the Department of Electrical, Computer, Software, and Systems Engineering, Embry-Riddle Aeronautical University. In 2007 he was an Engineering Research Associate with the Texas A&M Transportation Institute. He is the editor of four books, including Smart Cities: Foundations, Principles and Applications, Hoboken, NJ: Wiley, 2017, Security and Privacy in Cyber-Physical Systems: Foundations, Principles and Applications, Chichester, UK: Wiley, 2017, Cyber-Physical Systems: Foundations, Principles and Applications, Waltham, MA: Elsevier, 2016, and Industrial Internet of Things: Cyber manufacturing Systems, Cham, Switzerland: Springer, 2016. He is the author of more than 100 articles. His research interests include cyber-physical systems, internet of things, cloud computing, big data analytics, connected vehicle, wireless communications and networking, and optical communications and networking. Dr. Song serves as an associate technical editor for IEEE Communications Magazine. Dr. Song was the very first recipient of the Golden Bear Scholar Award, the highest faculty research award at West Virginia University Institute of Technology (WVU Tech), in 2016.

Anton Kos received his Ph.D. in Electrical Engineering from University of Ljubljana, Slovenia, in 2006. He is currently an assistant professor at the Faculty of Electrical Engineering, University of Ljubljana. He is a member of the Laboratory of Information Technologies at the Department of Communication and Information Technologies. Between 2000 and 2009 he was the head of IT at GlaxoSmithKline d.o.o., Ljubljana, Slovenia. He is the (co)author of twenty-seven papers appeared in the international engineering journals and of more than fifty papers presented at international conferences. He is a member of the research program Algorithms and Optimization Methods in Telecommunications, which is one of the two research programs that are every year listed among the best research programs in Slovenia. He is the leader of two industrial research and development projects in designing of sensor based smart sport equipment and forestry machinery. His professional work encompasses co-organizing international VIPSI conferences, serving as a program committee member at several international conferences (IIKI, FABULUOS, and ICIST), serving as a guest editor and reviewer at several international scientific journals. He is the Maxeler ambassador for Slovenia (Dataflow computing). He is a Senior member of IEEE, Union of Electrical Engineering of Slovenia, and SICOM. Since 2018 he is the IEEE Slovenia ComSoc chapter chair.