This study is the second phase of a research project called "Smart Pain Assessment Tool based on Internet-of-Things". During the course of this project, a smart pain assessment tool (SPA) to detect and assess pain employing behavioural and physiologic indicators will be developed. We aim to assess pain based on changes in electromyographic (EMG) activity in facial muscles, i.e. changes in facial expressions and simultaneously use physiologic signs such as heart rate, respiratory rate and galvanic skin response as adjuvant measures to develop an algorithm for pain assessment in critically ill patients.
The aim of this "smart pain assessment tool based on internet of things" SPA-research project is to develop an automatic and versatile pain assessment tool algorithm for detection and assessment of pain in a reliable and objective way in non-communicative patients. The final objective of the research project is to develop a smart pain assessment tool to detect and assess pain employing behavioural and physiologic indicators for a wide range of users/patients from infants to elderly people who are unable to communicate normally. The research project consists of three clinical phases (European Commision. Meddev 2.7/4/2010). The clinical phase I of the research project focused on developing pain assessment techniques involuntary working-age healthy study subjects. This current Clinical phase II includes the further development and research of the smart pain assessment tool in elective (non emergency) postoperative surgical patients during their stay after surgery in a recovery room.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
58
We record and analyze multiple bio-signals from post-operative patients in the attempt to evaluate their experienced pain.
University of Turku
Turku, Finland
Facial muscle activity
The device is designed for multi-channel EMG acquisition from facial skin. Measuring a combination of EMG signals and their energy level (amplitude).
Time frame: 2 hours after surgery when the subject has woken up
Skin conductance
Galvanic skin response (GSR), also known as electrodermal activity (EDA) or skin conductance (SC).
Time frame: 2 hours after surgery when the subject has woken up
Pain assesment by VAS
Subjective feeling of pain is asked every 10 minutes by using numeric visual analog scale (VAS), values are given from 0-10.
Time frame: 2 hours after surgery when the subject has woken up
Heart rate
Heart rate is monitored and recorded.
Time frame: 2 hours after surgery when the subject has woken up
Respiratory rate
Respiratory rate is monitored and recorded.
Time frame: 2 hours after surgery when the subject has woken up
Oxygen saturation
Oxygen saturation is monitored and recorded.
Time frame: 2 hours after surgery when the subject has woken up
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