Intelligent Clinical Care

The purpose of this project is to develop new clinical devices for nursing care. We are using user-centric designs and smart technology based on Artificial Intelligence. One of the used technologies is the Internet of Things (IoT), a novel paradigm where objects with unique identities can be integrated into an information network to provide intelligent services for health care. With embedded sensor systems and advanced data analytics and machine learning the heterogeneous data can be transformed into useful form for the caregivers.

Smart Gloves for CPR

Smart Gloves to evaluate the quality of CPR (ResuGloves) The aim of the Smart Glove project is to develop portable, cost-effective and easy to use medical device that will provide real-time feedback, aimed to improve the quality of chest compressions during laypersons’ CPR training and prehospital resuscitation. Once developed and implemented, the smart glove is expected to be valuable to train CPR in communities as well as governmental and private institutions. Besides, the smart glove has the potential to be used by laypersons and inexperienced health professionals both in hospitals and out of hospital real cardiac arrests, particularly in resources limited settings.

Smart Pain Assessment tool based on IoT (SPA)

Sanna Salanterä
Pasi Liljeberg, PhD, Professor, Department of Future Technologies, University of Turku

The purpose of the SPA project is to benefit from the offered features of the Internet of Things 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, breathing rate and galvanic skin response. The aim of this project is to develop a system based on Internet of Things to detect and assess pain in a reliable way by enabling the pain diagnoses in the case when the patient is unable to communicate and express the pain sensations.

The purpose of this project is to support nurses’ and health care workers’ with AI, Machine learning and text-mining for decision-making, evaluation and prediction of care. The project aims at testing novel algorithms and tools for clinical texts.

Text mining to assess the disease burden of healthcare associated infections

The purpose of this study is to identify early predictors of hospital acquired infections. The ultimate goal of this project is to increase the care quality of intensive care patients.

Sanna Salanterä

HAI -mining: Hans Moen, Mari Kanerva, Kirsi Terho, Tiina Kurvinen, Pekka Marttinen, Ya Gao

SMART PAIN ASSESSMENT: Pasi Liljeberg, Riitta Rosio, Mingtse Jiang, Amir Rahmani

RESU GLOVE, CPR -TRAINING and ICU-care: Desale Tewelde Miretta Tommila, Laura-Maria Peltonen, Ville Peltonen, Juha Laine, Natasha Simonen

• Riitta Rosio, PT, MHSc, PhD, Smart Pain Assessment Tool for noncommunicative patients – Early stage development and evaluation
• Desale Tewelde Kahsay, MSc, CRNA, ENP, PhD candidate, Smart Gloves to evaluate the quality of CPR
• Kristiina Heikkilä
• Kirsi Terho
• Tiina Kurvinen
• Anna Tornivuori
• Hannah Liuska
• Kristin Adler
• Reetta Mustonen