- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03061240
Smart Pain Assesment Tool Based on Internet of Things (SPA)
December 21, 2018 updated by: Sanna Salanterä, University of Turku
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.
Study Overview
Detailed Description
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
Enrollment (Actual)
58
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Turku, Finland, 20140
- University of Turku
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Inclusion Criteria:
- Subject is scheduled for major surgery that requires general anesthesia and is likely to cause moderate to severe pain postoperatively which needs to be treated with systemic analgesics
- Ability to communicate
- Written informed consent
- Healthy facial skin
Exclusion Criteria:
- Subject treated with local anesthesia during surgery
- Any diagnosed condition affecting cognitive functions
- Surgery affecting hands where pulse oximetry and galvanic skin reaction are recorded or areas where facial muscle activity is measured
- Any diagnosed condition affecting central nervous system, facial nerves or muscles.
- Significant facial hair growth in the area where the sensors will be attached
- Tattoos in the area where the sensors will be attached
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Postoperative patients
We recruit postoperative patients who undergo open surgery and are not receiving local anesthesia.
We install a smart pain assessment tool on patient's skin to capture different type of data.
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We record and analyze multiple bio-signals from post-operative patients in the attempt to evaluate their experienced pain.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Facial muscle activity
Time Frame: 2 hours after surgery when the subject has woken up
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The device is designed for multi-channel EMG acquisition from facial skin.
Measuring a combination of EMG signals and their energy level (amplitude).
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2 hours after surgery when the subject has woken up
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Skin conductance
Time Frame: 2 hours after surgery when the subject has woken up
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Galvanic skin response (GSR), also known as electrodermal activity (EDA) or skin conductance (SC).
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2 hours after surgery when the subject has woken up
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Pain assesment by VAS
Time Frame: 2 hours after surgery when the subject has woken up
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Subjective feeling of pain is asked every 10 minutes by using numeric visual analog scale (VAS), values are given from 0-10.
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2 hours after surgery when the subject has woken up
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Heart rate
Time Frame: 2 hours after surgery when the subject has woken up
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Heart rate is monitored and recorded.
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2 hours after surgery when the subject has woken up
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Respiratory rate
Time Frame: 2 hours after surgery when the subject has woken up
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Respiratory rate is monitored and recorded.
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2 hours after surgery when the subject has woken up
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Oxygen saturation
Time Frame: 2 hours after surgery when the subject has woken up
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Oxygen saturation is monitored and recorded.
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2 hours after surgery when the subject has woken up
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Sanna Salanterä, Prof, University of Turku
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Viertio-Oja H, Maja V, Sarkela M, Talja P, Tenkanen N, Tolvanen-Laakso H, Paloheimo M, Vakkuri A, Yli-Hankala A, Merilainen P. Description of the Entropy algorithm as applied in the Datex-Ohmeda S/5 Entropy Module. Acta Anaesthesiol Scand. 2004 Feb;48(2):154-61. doi: 10.1111/j.0001-5172.2004.00322.x. No abstract available.
- Jeitziner MM, Schwendimann R, Hamers JP, Rohrer O, Hantikainen V, Jakob SM. Assessment of pain in sedated and mechanically ventilated patients: an observational study. Acta Anaesthesiol Scand. 2012 May;56(5):645-54. doi: 10.1111/j.1399-6576.2012.02660.x. Epub 2012 Mar 7.
- Prkachin KM. Assessing pain by facial expression: facial expression as nexus. Pain Res Manag. 2009 Jan-Feb;14(1):53-8. doi: 10.1155/2009/542964.
- Ledowski T, Ang B, Schmarbeck T, Rhodes J. Monitoring of sympathetic tone to assess postoperative pain: skin conductance vs surgical stress index. Anaesthesia. 2009 Jul;64(7):727-31. doi: 10.1111/j.1365-2044.2008.05834.x. Epub 2009 Jan 28.
- EPoSS. 2008. Internet of Things in 2020: a Roadmap for the Future. European Technology Platform on Smart Systems Integration. European Commission Information Society.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
November 20, 2017
Primary Completion (Actual)
June 11, 2018
Study Completion (Actual)
June 11, 2018
Study Registration Dates
First Submitted
February 9, 2017
First Submitted That Met QC Criteria
February 17, 2017
First Posted (Actual)
February 23, 2017
Study Record Updates
Last Update Posted (Actual)
December 24, 2018
Last Update Submitted That Met QC Criteria
December 21, 2018
Last Verified
December 1, 2018
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- 29092016
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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