Detection of Electrodermal Activity in Pain 2
NCT06677593 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 37
Last updated 2026-03-19
Summary
The goal of this study is to investigate the association between self-reported pain and electrodermal activity and to create an algorithm that detects pain and provides timely alarms for rising pain levels in patients with life-threatening illnesses suffering from persistent pain. The study is exploratory.
Hypothesis: Electrodermal activity can distinguish different pain intensity levels in patients with chronic pain and a life-threatening disease.
Methodology: Thirty-seven patients with cancer and/or chronic obstructive pulmonary disease (COPD) will be identified through hospital record screening. These patients will wear a monitoring device for a maximum of one week and report their pain intensity throughout the day.
Analysis: Discriminant analysis will be used to differentiate between mild, moderate, and severe pain. This study is exploratory, generating hypotheses for subsequent phases of the project.
Conditions
Sponsors & Collaborators
-
Aalborg University Hospital
collaborator OTHER -
Copenhagen University Hospital, Hvidovre
lead OTHER
Principal Investigators
-
Kirstine S Benthien, PhD · University of Copenhagen
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-11-15
- Primary Completion
- 2026-12-01
- Completion
- 2026-12-31
Countries
- Denmark
Study Locations
More Related Trials
-
Automated urIne Flow Detection to Reduce Errors and Nursing Workload
NCT03636113 ·Status: COMPLETED
-
Evaluation of Performance, Usability, and Reliability of a Novel Device for Continuous Collection of Physiological Data
NCT03257189 ·Status: COMPLETED ·Phase: NA
-
Fundamental Intelligent Building Blocks of the Intensive Care Unit (ICU) of the Future: Intelligent ICU of the Future
NCT03905668 ·Status: ACTIVE_NOT_RECRUITING
-
Suitability of Unobtrusive Bed Monitoring and Wrist-worn Heart Rate Monitor for Patient Monitoring
NCT03572751 ·Status: COMPLETED
-
Wearable Wireless Respiratory Monitoring System That Detects and Predicts Opioid Induced Respiratory Depression
NCT06442488 ·Status: COMPLETED
-
Clinical Validation of New Breathing Sensors in Patients With Respiratory Insufficiency
NCT01904344 ·Status: COMPLETED ·Phase: NA
-
Development of an Algorithm That Predicts Hypoventilation Due to an Opioid Overdose
NCT03845699 ·Status: UNKNOWN
-
A Prospective Patient Reported Outcomes and Wearables Study in Myeloproliferative Neoplasms
NCT06334913 ·Status: NOT_YET_RECRUITING
-
Continuous Monitoring of Vital Signs at Home (WARD HOME II)
NCT06077851 ·Status: COMPLETED
-
Data-driven Development of a Core Dataset for Difficult Airway Alerts
NCT07275567 ·Status: ACTIVE_NOT_RECRUITING
-
Automate Detection of Sleep Apnea by ApneascanTM
NCT02045173 ·Status: COMPLETED ·Phase: PHASE4
-
A Personalized and Interactive Web-based Health Care Innovation to Advance the Quality of Care
NCT02976961 ·Status: COMPLETED ·Phase: NA
-
Novel Non-Invasive Monitoring Parameter in a Hospital Setting
NCT01306201 ·Status: COMPLETED
-
Prediction of Pain During Old People Care Measured by Skin Conductance
NCT02975778 ·Status: TERMINATED ·Phase: NA
-
Early Identification of Clinical Deterioration Using a Wearable Monitoring Device
NCT04220359 ·Status: COMPLETED
-
Clinical Testing of the Cortrium C3 Device
NCT03387891 ·Status: COMPLETED
-
inContAlert: Machine Learning Algorithms for Individual Bladder Filling Level Prediction
NCT05952700 ·Status: COMPLETED
-
Klinik - Intelligent Patient Flow Management
NCT04577079 ·Status: COMPLETED
-
Continous Monitoring of Vital Signs on Hospitalized Cancer Patients.
NCT04299230 ·Status: COMPLETED
-
Assessment of Remote Approaches for Identification of Autonomic Dysfunction Among Survivors of Leukemia and Lymphoma
NCT06747910 ·Status: RECRUITING ·Phase: NA
-
Monitoring Postoperative Pain and Recovery Following Orthopedic Surgery
NCT02316951 ·Status: TERMINATED
-
Computer Aided Respiratory Therapy Based on Audio and Spirometry Signals
NCT06461195 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
An Evaluation of Concordance of Smartwatch ECG and One Clinical ECG and Comparison of The Two ECGS in Terms of Predictive Risks
NCT05617391 ·Status: ACTIVE_NOT_RECRUITING
-
Clinical Data Collection Study Using CPM System
NCT06007079 ·Status: RECRUITING ·Phase: NA
-
HERO System - Health Monitoring for the Detection of Vital Signs and Emotional States
NCT07248969 ·Status: ACTIVE_NOT_RECRUITING