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Internet-of-Things in Healthcare (IoT-Health)


A researcher interacting with a 3D computational body model using the ITL Immersive visualization platform

A researcher interacting with a 3D computational body model using the ITL Immersive visualization platform.

Credit: NIST

From smart wearables, implants and ingestible electronics to remote physiological monitoring, the Internet-of-Things (IoT) technology has numerous applications in healthcare. IoT-Health has the potential to create a pervasive environment for monitoring patient health and safety as well as improving how physicians deliver care. It can also boost patient engagement and satisfaction by allowing them to spend more time in the comfort of their home and interacting with their care centers whenever needed. A significant driver for the IoT-Health market is the increasing penetration of connected devices in healthcare. Wearable biomedical sensors have received a remarkable growth in recent years; however, a pervasive IoT-Health infrastructure is still a long way from commercialization. The end-to-end health data connectivity involves the development of many technologies that should enable reliable and location-agnostic communication between a patient and healthcare service provider. The IoT-Health program aims to focus on the mathematical and computational modeling, visualization, optimization, performance evaluation and experimentation of IoT enabling technologies in healthcare.


Radio Frequency Propagation Characterization, Statistical Channel Modeling, Interference analysis and Mitigation in Body Area Networks

Modeling and Analysis of the Electric Field Communication in Body Area Networks

Modeling and Optimization of Kinetic-based Micro Energy-Harvesters for Wearables and Implants

Performance Evaluation of Automatic Exposure Notification with Bluetooth-based Proximity Detection

Recent Publications

  • M. Roudneshin, K. Sayrafian, A. G. Aghdam, "Maximizing Harvested Energy in Coulomb Force Parametric Generators", IEEE 2022 American Control Conference, Atlanta, Georgia, USA, June 8-10, 2022
  • K. Sayrafian, B. Cloteaux, V. Marbukh, “On the Performance of Automatic Exposure Determination Using Bluetooth-based Proximity Estimation”, IEEE International Conference on Communications (IEEE ICC), Seoul, South Korea, May 16-20, 2022
  • K. Krhac, K. Sayrafian, U. Bengi, S. Dumanli-Oktar, “A Wearable Wireless Monitoring System for the Detection of Pulmonary Edema”, IEEE Global Communications Conference (IEEE GLOBECOM), Madrid, Spain, Dec. 7-11, 2021
  • G. Sahonero-Alvarez, A. K. Singh, K. Sayrafian, L. Bianchi, A. Roman-Gonzalez, “A Functional BCI Model by the P2731 Working Group: Transducer”, Brain-Computer Interfaces Journal, Sept. 8, 2021, (DOI: 10.1080/2326263X.2021.1968633)
  • M. Särestöniemi, C. Pomalaza-Raez, K. Sayrafian, J. Iinatti, “In-Body Propagation at ISM and UWB Frequencies for Abdominal Monitoring Applications”, IEEE International Conference on Communications (IEEE ICC), IoT-Health Workshop, June 14-23, 2021
  • K. Sayrafian, S. J. Ambroziak, “IoT for Healthcare Applications”, In Inclusive Radio Communication Networks for 5G and Beyond, Elsevier Publishing Company, 2021, Pages 221-252, (ISBN: 9780128205815)
  • K. Krhac, K. Sayrafian, G. Noetscher, D. Simunic, “A Simulation Platform to Study the Human Body Communication Channel”, 41st Annual IEEE Engineering in Medicine and Biology (IEEE EMBC) conference, Berlin, Germany, July 23-27, 2019
  • K. Krhac, K. Sayarafian, M. Alasti, K. Yazdandoost, D. Simunic, “A Study of Capsule Endoscopy Orientation Estimation at UWB frequencies”, 29th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), Bologna, Italy, Sept. 9-11, 2018
  • S. Perez-Simbor, K. Krhac, C. Garcia-Pardo, K. Sayrafian, D. Simunic, N. Cardona, “Impact of Measurement Points Distribution on the Parameters of UWB Implant Channel Model”, 4th Annual IEEE Conference on Standards for Communications and Networking (IEEE CSCN), Granada, Spain, Oct. 29-31, 2018
  • M. Barbi, K. Sayrafian, M. Alasti, “Application of Link Adaptation in Body Area Networks”, 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), Montreal, Canada, Oct. 8-13, 2017
Created January 27, 2022, Updated February 3, 2022