Nguyen Gia Tuan (PhD)

Post-doc in University of Turku, Finland

Smart Pain Assessment Tool Based on Internet-of-Things (2015-2017)

This project is founded by Academy of Finland from 1st Jan. 2015. (http://www.aka.fi/en-GB/A/)

Pain is an unpleasant sensory and emotional experience associated with actual or potential tissue damage, or described in terms of such damage (IASP 2015). It is a subjective sensation and patients self-report is considered the most reliable indicator of pain. However, assessment of pain is particularly difficult when the ability of the patient to communicate is limited or impossible e.g. during critical illness, under sedation and anesthesia or for infants.

The objective of this project is to benefit from the offered features of the IoT and sensor networks to provide an automatic tool which can detect and assess pain employing behavioral and physiologic indicators such as facial muscle activity, heart rate, blood pressure, and breathing rate. The aim of this project is to develop a system based on Internet of Things to detect and assess pain in a reliable and objective way by enabling the pain diagnoses in the case when the patient is unable to communicate and express the pain sensations.

Research Partners:
Department of Information Technology, University of Turku, Finland (IT-UTU)
iPack VINN Excellence Center, Royal Institute of Technology, Sweden (iPack-KTH)
Department of Nursing Science, University of Turku, Finland (NS-UTU)
Department of Anesthesiology and Intensive Care Medicine, University of Turku, Finland
Division of Perioperative Services, Intensive Care Medicine and Pain Management, Turku University Hospital, Finland (TOTEK-UTU)
Institute of Computer Technology, The Vienna University of Technology, Austria (ICT-TUWien)


Fog Computing (Internet-of-Things) (2015-2017)


There have been significant advances in the field of Internet of Things (IoT) recently. At the same time there exists an ever-growing demand for ubiquitous healthcare systems to improve human health and well-being. In most of IoTbased patient monitoring systems, especially at smart homes or hospitals, there exists a bridging point (i.e., gateway) between a sensor network and the Internet which often just performs basic functions such as translating between the protocols used in the Internet and sensor networks. These gateways have beneficial knowledge and constructive control over both the sensor network and the data to be transmitted through the Internet. In this project, we exploit the strategic position of such gateways to offer several higher-level services such as local storage, real-time local data processing, embedded data mining, etc., proposing thus a Smart e-Health Gateway. By taking responsibility for handling some burdens of the sensor network and a remote healthcare center, a Smart e-Health Gateway can cope with many challenges in ubiquitous healthcare systems such as energy efficiency, scalability, and reliability issues. A successful implementation of Smart e-Health Gateways enables massive deployment of ubiquitous health monitoring systems especially in clinical environments. We also present a case study of a Smart e-Health Gateway called UT-GATE [1] where some of the discussed higher-level features have been implemented. Our proof-of-concept design demonstrates an IoT-based health monitoring system with enhanced overall system energy efficiency, performance, interoperability, security, and reliability.

Research Partners:
Department of Information Technology, University of Turku, Finland (IT-UTU)
iPack VINN Excellence Center, Royal Institute of Technology, Sweden (iPack-KTH)
VTT Technical Research Centre of Finland


Remote Patient Monitoring (2015-2017)


With the continuous evolution of wireless sensor networks and Internet of Things (IoT) various aspects of life will benefit. IoT based pervasive healthcare system has potential to provide error free medical data and alerting system in critical conditions with continuous monitoring. The system will minimize the need of dedicated medical personnel for patient monitoring and help the patients to lead a normal life besides providing them with high quality medical service. The remote patient monitoring can bring a new dimension to medical practice. The convergence of healthcare and IoT can give real-time information of patient’s health and a deeper understanding of patient’s behavior, both being the key factors in helping to manage the chronic conditions. Remote patient monitoring is a technology to enable monitoring of patients outside of conventional clinical settings, which may increase access to care and decrease healthcare delivery costs. Key features of remote monitoring and trend analysis of physiological parameters enable early detection of deterioration; thereby, reducing number of emergency department visits, hospitalizations, and duration of hospital stays. The core idea behind this project has been to come up with an efficient hardware platform and wireless network architecture in order to remotely monitor patient, for various medical data including heart rate, respiration rate, blood pressure, body temperature, measuring of oxygen concentration in blood, Electrocardiography (recording of electrical activity of the heart), Electromyography (recording of electrical activity produced by muscles), Electrooculography (recording of corneo-retinal potential) and Electroencephalography (recording of electrical activity of brain and neurons).

Research Partners:
Department of Information Technology, University of Turku, Finland (IT-UTU)
iPack VINN Excellence Center, Royal Institute of Technology, Sweden (iPack-KTH)
Department of Nursing Science, University of Turku, Finland (NS-UTU)
Department of Anesthesiology and Intensive Care Medicine, University of Turku, Finland
Division of Perioperative Services, Intensive Care Medicine and Pain Management, Turku University Hospital, Finland (TOTEK-UTU)
VTT Technical Research Centre of Finland


Magic box


The main target of the project is to create a box which can detect human hand motion for controlling a digital device remotely. For instance, the box is implemented by sensors, microcontroller, wireless communication hardware. Some hand movements are predefined for controlling TV such as changing TV channel, turning on/off TV, muting, decreasing and increasing TV's volum,n etc

Partners:
University of Turku, Finland
Abo Akedamy, Finland


Smart house


The smart house 'architecture includes smart house with different types of sensors, cloud server and android application. The smart house is able to operate with two simultaneous modes including self-intelligent mode and remote controlling mode. With the self-intelligent mode, it can turn on/of light and other devices automatically depending on specific scenario while with the remote controlling mode, the smart house operates depending on instruction from end users by system controlling panel or mobile application. Security is also added value of the project.

Partners:
Technical University of Denmark,
Helsinki Metropolia University of Applied Sciences,Finland
FH JOANNEUM University of Applied Sciences, Austria
IUT 1 de Grenoble de l'Université Joseph Fourier, France
Technická univerzita v Košiciach, Slovakia
Universidad de Alcalá, Spain


Intelligent robot


The main idea of the project is to build a robot prototype working in airport area. The robot must avoid perform violently to human and it has ability to work independently or operate manually with instruction from robot administrator for several activities which are difficult to perform by human

Partners:
Høgskolen i Sør-Trøndelag (Norway),
Helsinki Metropolia University of Applied Sciences,Finland
Hogeskool van Amsterdam (The Netherlands)
Universitat Politècnica de València
Hochschule Bonn-Rhein-Sieg