New Frontiers of Cardiovascular Screening using Unobtrusive Sensors, AI, and IoT

New Frontiers of Cardiovascular Screening using Unobtrusive Sensors, AI, and IoT

1st Edition - July 1, 2022

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  • Authors: Anirban Dutta Choudhury, Rohan Banerjee, Sanjay Kimbahune, Arpan Pal
  • Paperback ISBN: 9780128244999

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Description

New Frontiers of Cardiovascular Screening using Unobtrusive Sensors, AI, and IoT provides insights into real-world problems in cardiovascular disease screening that can be addressed via AI, IoT and wearable based sensing. Non-Communicable Diseases (NCD) are surpassing CDS and emerging as the foremost cause of death. Hence, early screening of CVDs using wearable and other similar sensors is an extremely important global problem to solve. The digital health field is constantly changing, and this book provides a review of recent technology developments, offering unique coverage of processing time series physiological sensor data. The authors have developed this book with graduate and post graduate students in mind, making sure they provide an accessible entry point into the field. This book is particularly useful for engineers and computer scientists who want to build technologies that work in real world scenarios as it provides a practitioner’s view/insights /tricks of the trade. Finally, this book helps researchers working on this important problem to quickly ramp up their knowledge and research to the state-of-the-art.

Key Features

  • Maps digital health technology to real diseases that are relevant to the medical community
  • Supported with patient data and case studies
  • Gives practitioners insights into the real-world implementation of signal conditioning, signal processing and machine learning

Readership

Graduate and post-graduate students in signal processing and biomedical engineering, Researchers in other sub-domains of healthcare with a cardiovascular focus, such as doctors, medical device manufacturers, biomedical and electrical engineers

Table of Contents

  • PART A: Sensors, AI and IoT in Cardiovascular Diseases 
    Chapter 1 – Cardiovascular Diseases and Conditions 
    Silent Killer and its Global Impact 
    Digital Unobtrusive Screening 
    Leveraging AI and IoT 
    Bibliography 
     
    Chapter 2 – Unobtrusive Sensing 
    Proliferation of new generation sensors: smartphones and wearable 
    Clinical Devices 
    Pulse oximetry: Photoplethysmogram (PPG) 
    Digital Stethoscope: PhonoCardiogram (PCG) 
    Echocardiogram (ECG) 
    Breathing Flow meter 
    Brain Signal: Electroencephalogram (EEG) 
    Bibliography 
     
    Chapter 3 – Process Flow for Automated Screening 
    Introduction 
    Data Collection Steps 
    Signal Conditioning 
    Noise: Discarding or Reconstruction 
    Statistical Analysis 
    Handling Unbalanced Data 
    Clinical Knowledge Augmentation: Using Meta-information 
    Machine Learning 
    Deep Learning Architecture on multi-sensor time series data 
    Bibliography 
     
    PART B: Disease Screening 
    Chapter 4 – Abnormal Heart Rhythms 
    Heart Rate using PPG and ECG 
    Noise Cleaning: Smartphone, Wearable and Nearable 
    Frequency and Time Domain Analysis 
    Arrhythmia Detection using PPG and ECG 
    Signal Conditioning 
    Peak Detection 
    AI Based Rhythm Analysis 
    Bibliography 
     
    Chapter 5 – Heart Blockage 
    Correlation of Heart Blockage with ECG, PPG and PCG 
    Detection of Chronic Ischemic Heart Diseases 
    AI Based Fusion of Multiple Sensors for Classification 
    Patient Metadata based Knowledge Modelling 
    Bibliography 
     
    Chapter 6 – Other Cardiac Conditions 
    Screening of Hypertension from PPG and ECG 
    Electrical Modelling of Cardiovascular System 
    Regression Modelling from PPG 
    Pulse Transit Time Analysis from PPG and ECG 
    Cardiac Fatigue from PPG and ECG 
    AI Based Anomaly Detection 
    Bibliography 
     
    Chapter 7 – Associated Conditions and Diseases 
    Sleep Apnoea from PPG, ECG, Breathing and EEG 
    Deep Learning based Prediction 
    COPD from Flow meter 
    AI Based Classification 
    Bibliography 
     
    PART C: Future Challenges
     
    Chapter 8 – Looking at the Future 
    Trends for Physiological Sensing 
    Trends for Analytics and AI 
    Security and Privacy Challenges 
    Ethics and Liability Issues 
    Future Vision for Cardiovascular Health 
    A day in the Life of a Cardiologist in 2030 
    A day in the Life of a Patient in 2030 
    Bibliography

Product details

  • No. of pages: 250
  • Language: English
  • Copyright: © Academic Press 2022
  • Published: July 1, 2022
  • Imprint: Academic Press
  • Paperback ISBN: 9780128244999

About the Authors

Anirban Dutta Choudhury

Anirban Dutta Choudhury received his B.E. in Electronics and Telecommunication Engineering in 2005 from Jadavpur University, India and M.Sc. in Embedded System Design in 2008 from University of Lugano, Switzerland. He has more than 15 years of experience, all in R&D departments in various geographies and scale of companies such as NXP Semiconductors Netherlands, PIXY AG Switzerland and Tata Consultancy Services India. His research interests encompass Noninvasive Physiological sensing in Digital Health and AI-driven Sensor Signal Informatics. Anirban has more than 40 publications till date in reputed Journals and Conferences. He has filed for more than 25 unique patents and has 10 patents granted to him.

Affiliations and Expertise

Senior Scientist, Research and Innovation, Tata Consultancy Services, Kolkata, India

Rohan Banerjee

Rohan Banerjee has more than 10 years of experience in digital signal processing and machine learning. Currently, works as a scientist at TCS Research. He received his M.Tech from the department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur in 2011. His main research area includes signal processing with a strong focus on biomedical signal processing, pattern recognition, machine learning in digital healthcare and cardiology. Rohan has more than thirty papers published in peer-reviewed conferences and journals and has five granted patents.

Affiliations and Expertise

Scientist, Research and Innovation, Tata Consultancy Services, Kolkata, India

Sanjay Kimbahune

Sanjay Kimbahune received his BE degree in Electronics from Amravati University with distinction. He is working as a senior scientist in TCS Research and Innovation. He has experience of 32 years in diverse fields of CTI, Video Conference solutions and Mobile applications for masses. He is passionate about solving problems faced by the masses by developing frugal and scalable technology solutions. He has published 33 papers and has 48 granted patents. His current research focus is on engineering innovative devices for screening cardiovascular diseases in a scalable and frugal way. He is mentoring many startups working in the healthcare domain. He was instrumental in developing mKRISHI - platform for farmers. mKRISHI has reached about 1 million farmers as well has received many prestigious awards.

Affiliations and Expertise

Senior Scientist, Research and Innovation, Tata Consultancy Services, Thane, India

Arpan Pal

Arpan Pal has more than 29 years of experience in the areas of Intelligent Sensing, Signal Processing & AI, Edge Computing and Affective Computing. Currently, as Distinguished Chief Scientist and Research Area Head, Embedded Devices and Intelligent Systems, TCS Research, he is working in the areas of Connected Health, Smart Manufacturing and Remote Sensing. He is on the editorial board of notable journals like ACM Transactions on Embedded Systems, Springer Nature Journal on Computer Science and is on the TPC of notable conferences like ICASSP and EUSIPCO. He has filed 180+ patents (out of which 95+ granted in different geographies) and has published 140+ papers and book chapters in reputed conferences and journals. He has also authored two books – one on IoT and another on Digital Twins in Manufacturing. He is on the governing/review/advisory board of some of the Indian Government organizations such as CSIR, MeitY, Educational Institutions like IIT, IIIT and Technology Incubation Centers like TIH. Prior to joining Tata Consultancy Services (TCS), Arpan had worked for DRDO, India as Scientist for Missile Seeker Systems and in Rebeca Technologies (erstwhile Macmet Interactive Technologies) from as their Head of Real-time Systems. He is a B. Tech and M. Tech from IIT, Kharagpur, India and PhD. from Aalborg University, Denmark.

Affiliations and Expertise

Distiguished Chief Scientist, Research and Innovation, Tata Consultancy Services, Kolkata, India

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