Related Experiment Video
Updated: Nov 24, 2025

Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram
Published on: July 7, 2023
Mobile Health-Collected Biophysical Markers in Children with Serious Illness-Related Pain
Toluwalase A Ajayi1,2,3, Leia Salongo4, Yunyue Zang1
1Scripps Research Translational Institute, La Jolla, California, USA.
Insights
Wireless wristbands can collect physiological data from seriously ill children, aiding in pain assessment. This technology offers a non-intrusive method for monitoring pain in pediatric patients with serious illnesses.
Area of Science:
- Biomedical Engineering
- Pediatric Medicine
- Pain Management
Background:
- Effective pain assessment is crucial for individualized care in pediatric patients with serious illnesses.
- Existing pain assessment methods may not be sufficient for this population.
- Wireless wearable technology presents a potential solution for objective pain monitoring.
Purpose of the Study:
- To evaluate the feasibility of using wrist-wearable technology to collect physiological data from children with serious illnesses.
- To assess the acceptability of wearable devices among pediatric patients experiencing acute-on-chronic pain.
- To explore the correlation between physiological data from wearable devices and reported pain levels.
Main Methods:
- A prospective observational study was conducted at a single site involving pediatric patients with cancer and sickle cell disease.
- Participants wore an Empatica E4 wristband for two 24-hour continuous monitoring periods.
- Physiological data (heart rate, skin temperature, electrodermal activity) were collected and compared with manually obtained vital signs and subjective pain reports.
Main Results:
- Data collected by the wristband correlated with manually obtained vital signs.
- Children responded favorably to wearing the Empatica E4 device.
- Increased reported pain was associated with higher average heart rate (+16.4 bpm), decreased skin temperature (-3.5°C), and decreased electrodermal activity (-0.27).
Conclusions:
- Wearable devices can non-intrusively collect continuous biophysical data from seriously ill children with acute-on-chronic pain.
- This technology provides a framework for future research into objective pain and suffering metrics in pediatric populations.
- Wireless wearable technology shows promise for enhancing pain assessment and individualized care in critically ill children.
Abstract:
There is an ongoing established need to develop engaging pain assessment strategies to provide more effective individualized care to pediatric patients with serious illnesses. This study explores the acceptability of wireless devices as one option. To evaluate the ability of wrist-wearable technology to collect physiological data from children with serious illnesses. Single-site prospective observational study conducted between September 2017 and September 2018 at Rady Children's Hospital, San Diego, California, inpatient wards. Pediatric patients with diagnoses of cancer and sickle cell disease admitted to the hospital for acute-on-chronic pain and taking opioid pain medications were asked to complete two 24-hour continuous monitoring periods with the Empatica E4 wristband. Data collected from the device correlated with manually obtained vital signs. Children responded favorably to wearing the device. Participants with reported subjective pain versus no pain had average heart rate increased by 16.4 bpm, skin temperature decreased by 3.5°C, and electrodermal activity decreased by 0.27. This study shows the possibility of collecting continuous biophysical data in a nonobtrusive manner in seriously ill children experiencing acute-on-chronic pain using wearable devices. It provides the framework for larger studies to explore the utility of such data in relation to metrics of pain and suffering in this patient population.
More Related Videos
06:52Behavioral and Locomotor Measurements Using an Open Field Activity Monitoring System for Skeletal Muscle Diseases
Published on: September 29, 2014
09:18Measurements of Motor Function and Other Clinical Outcome Parameters in Ambulant Children with Duchenne Muscular Dystrophy
Published on: January 12, 2019