Smart Pain Assesment Tool Based on Internet of Things (SPA)
21. december 2018 opdateret af: 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.
Studieoversigt
Detaljeret beskrivelse
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.
Undersøgelsestype
Interventionel
Tilmelding (Faktiske)
58
Fase
- Ikke anvendelig
Kontakter og lokationer
Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.
Studiesteder
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Turku, Finland, 20140
- University of Turku
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Deltagelseskriterier
Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.
Berettigelseskriterier
Aldre berettiget til at studere
18 år og ældre (Voksen, Ældre voksen)
Tager imod sunde frivillige
Ingen
Køn, der er berettiget til at studere
Alle
Beskrivelse
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
Studieplan
Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Diagnostisk
- Tildeling: N/A
- Interventionel model: Enkelt gruppeopgave
- Maskning: Ingen (Åben etiket)
Våben og indgreb
Deltagergruppe / Arm |
Intervention / Behandling |
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Eksperimentel: 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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Hvad måler undersøgelsen?
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
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Facial muscle activity
Tidsramme: 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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Sekundære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
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Skin conductance
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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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Samarbejdspartnere og efterforskere
Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.
Sponsor
Efterforskere
- Ledende efterforsker: Sanna Salanterä, Prof, University of Turku
Publikationer og nyttige links
Den person, der er ansvarlig for at indtaste oplysninger om undersøgelsen, leverer frivilligt disse publikationer. Disse kan handle om alt relateret til undersøgelsen.
Generelle publikationer
- 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.
Datoer for undersøgelser
Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.
Studer store datoer
Studiestart (Faktiske)
20. november 2017
Primær færdiggørelse (Faktiske)
11. juni 2018
Studieafslutning (Faktiske)
11. juni 2018
Datoer for studieregistrering
Først indsendt
9. februar 2017
Først indsendt, der opfyldte QC-kriterier
17. februar 2017
Først opslået (Faktiske)
23. februar 2017
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
24. december 2018
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
21. december 2018
Sidst verificeret
1. december 2018
Mere information
Begreber relateret til denne undersøgelse
Nøgleord
Andre undersøgelses-id-numre
- 29092016
Plan for individuelle deltagerdata (IPD)
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