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临床试验/NCT03061240
NCT03061240已完成不适用

Smart Pain Assesment Tool Based on Internet of Things

University of Turku2 个研究点 分布在 1 个国家目标入组 58 人开始时间: 2017年11月20日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
58
试验地点
2
主要终点
Facial muscle activity

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Diagnostic
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 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

排除标准

  • 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

结局指标

主要结局

Facial muscle activity

时间窗: 2 hours after surgery when the subject has woken up

The device is designed for multi-channel EMG acquisition from facial skin. Measuring a combination of EMG signals and their energy level (amplitude).

次要结局

  • Skin conductance(2 hours after surgery when the subject has woken up)
  • Respiratory rate(2 hours after surgery when the subject has woken up)
  • Pain assesment by VAS(2 hours after surgery when the subject has woken up)
  • Heart rate(2 hours after surgery when the subject has woken up)
  • Oxygen saturation(2 hours after surgery when the subject has woken up)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Sanna Salanterä

Professor

University of Turku

研究点 (2)

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