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| Name | Class |
|---|---|
| Academy of Finland | OTHER |
| Turku University Hospital | OTHER_GOV |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Postoperative patients | Experimental | 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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Smart pain assessment tool | Device | We record and analyze multiple bio-signals from post-operative patients in the attempt to evaluate their experienced pain. |
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| Measure | Description | Time Frame |
|---|---|---|
| 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). | 2 hours after surgery when the subject has woken up |
| Measure | Description | Time Frame |
|---|---|---|
| Skin conductance | Galvanic skin response (GSR), also known as electrodermal activity (EDA) or skin conductance (SC). | 2 hours after surgery when the subject has woken up |
| Pain assesment by VAS |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Sanna Salanterä, Prof | University of Turku | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Turku | Turku | 20140 | Finland |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 22404146 | Background | 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. | |
| 14995936 | Background | 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. |
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| ID | Term |
|---|---|
| D010146 | Pain |
| ID | Term |
|---|---|
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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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.
| 2 hours after surgery when the subject has woken up |
| Heart rate | Heart rate is monitored and recorded. | 2 hours after surgery when the subject has woken up |
| Respiratory rate | Respiratory rate is monitored and recorded. | 2 hours after surgery when the subject has woken up |
| Oxygen saturation | Oxygen saturation is monitored and recorded. | 2 hours after surgery when the subject has woken up |
| 19262917 | Background | 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. |
| 19183409 | Background | 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. |
| Background | EPoSS. 2008. Internet of Things in 2020: a Roadmap for the Future. European Technology Platform on Smart Systems Integration. European Commission Information Society. |