Aim and objectives:

The emerging field of Internet-of-things holds a great potential to meet the unmet needs of healthcare. However, to become applicable in clinical practice, IoT technologies demand research, development, testing, and trials, since these systems are intended to be a part of both hospitals and naturalistic environments such as homes. This workshop will demonstrate state-of-the-art IoT technologies–wearable sensors, body area sensors, advanced pervasive healthcare systems, and mobile to cloud computing–that are aimed at providing telehealth interventions to patients with specific diseases/disorders and to individuals for a healthier lifestyle. This workshop will also provide valuable insights to researchers and engineers on how to design IoT systems that empower medical experts to remotely monitor and intervene with patients. The aim of this workshop is to initiate conversations among technologists, engineers, and clinicians to synergize their efforts in producing low-cost, high-performance, highly-efficient, deployable IoT systems.  This workshop is partially funded through the National Science Foundation grant CNS-1702950 together with Finnish partners under the NSF WiFiUS program.

Organizers:
Amir M. Rahmani, UC Irvine (USA) & TU Wien (Austria)
Pasi Liljeberg, University of Turku (Finland)
Nikil Dutt, UC Irvine (USA)
Program:
Time Speaker Title
Monday 9-12p Pasi Liljeberg Introduction to Healthcare IoT
Monday 1-4p Amir Rahmani Patient-centered Healthcare IoT
Tuesday 9-12p Sina Labbaf IoT-based Stress Monitoring: Vital Signs and Signal Processing
Tuesday 9-12p Hee-Jeong Han IoT-based Stress Monitoring: Study Design and Data Analytics
Wednesday 9-12p Emad Kasaeyan Naeini IoT-based Smart Pain Assessment:

Wearable Sensor Design

Wednesday 1-4p Ajan Subramanian IoT-based Smart Pain Assessment:

Vital Signs and Machine Learning

Thursday 9-12p Hannakaisa Niela-Vilen Family-centered Maternity Care
Thursday 1-4p Amir Rahmani IoT-based Remote Maternity Care: A Seven-month Pregnancy and One-month Postpartum Monitoring
Friday 9-12p Pasi Liljeberg IoT-Based Early Warning Scores (EWS) System
Friday 1-2:15p Delaram Amiri Edge-Assisted Sensor Control in Healthcare IoT: A Case Study on EWS
Friday 2:30-4p Nikil Dutt Internet of Cognitive Things for Personalized Healthcare