Smart Pain Assesment Tool Based on Internet of Things (SPA)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Turku, Finland, 20140
- University of Turku
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
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
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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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
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
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
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Sanna Salanterä, Prof, University of Turku
Publications and helpful links
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
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
Other Study ID Numbers
- 29092016
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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