Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pain01:20

Pain

405
Pain serves as a critical warning signal that alerts the body to potential or actual harm. When mechanical pressure on the skin is intense, such as from a sharp pinch, the sensation transitions from touch to pain. Similarly, extreme temperatures, like a hot pot handle, convert the sensation of heat into pain. Pain can also result from overstimulation of other senses, such as blinding light, loud noise, or the intense heat from habañero peppers. This ability to sense pain is essential for...
405
Thermosensation01:43

Thermosensation

30.2K
Peripheral thermosensation is the perception of external temperature. A change in temperature (on the surface of the skin and other tissues) is detected by a family of temperature-sensitive ion channels called Transient Receptor Potential, or TRP, receptors. These receptors are located on free nerve endings. Those detecting cold temperatures are closer to the surface of the skin than the nerve endings detecting warmth. These thermoTRP channels, while temperature selective, have relatively...
30.2K
Sound Intensity Level00:53

Sound Intensity Level

4.1K
Humans perceive sound by hearing. The human ear helps sound waves reach the brain, which then interprets the waves and creates the perception of hearing. The loudness of the environment in which a person is located determines whether they can distinguish between different sound sources.
The human ear can perceive an extensive range of sound intensity, necessitating the use of the logarithmic scale to define a physical quantity—the intensity level. It is a ratio of two intensities and...
4.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Capture sequencing demonstrates promising public health potential for post-COVID wastewater surveillance: a comparative multi-technique and spatiotemporal analysis.

Environment international·2026
Same author

Ultra-sensitive fluorescent detection of DENV-2 Nucleocapsid Protein 1 based on CDs-Eu@ZIF-8 modified Fe<sub>3</sub>O<sub>4</sub>@AuNPs nanomaterials.

Mikrochimica acta·2025
Same author

Efficacy and risk assessment of methyl glycinatediacetic acid combined hydroxylamine hydrochloride for washing heavy metal contaminated soil.

Environmental technology·2025
Same author

A comprehensive review of microplastic aging: Laboratory simulations, physicochemical properties, adsorption mechanisms, and environmental impacts.

The Science of the total environment·2024
Same author

Uncovering the toxic effects and adaptive mechanisms of aminated polystyrene nanoplastics on microbes in sludge anaerobic digestion system: Insight from extracellular to intracellular.

Journal of hazardous materials·2024
Same author

Efficacy of Low-Dose Scopolamine and Palonosetron in Reducing Immediate Post-Gastrointestinal Endoscopy Nausea and Vomiting: A Prospective, Randomized, Controlled Study.

Journal of clinical pharmacology·2024
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 14, 2025

Dynamic Quantitative Sensory Testing to Characterize Central Pain Processing
09:16

Dynamic Quantitative Sensory Testing to Characterize Central Pain Processing

Published on: February 16, 2017

16.8K

Physiological Sensor Modality Sensitivity Test for Pain Intensity Classification in Quantitative Sensory Testing.

Wenchao Zhu1, Yingzi Lin1

  • 1Intelligent Human Machine Systems Laboratory, Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02155, USA.

Sensors (Basel, Switzerland)
|April 12, 2025
PubMed
Summary
This summary is machine-generated.

This study developed a new objective pain assessment method using physiological signals. Blood volume pulse (BVP) was key, improving pain classification accuracy and enabling personalized pain management.

Keywords:
machine learningpain intensityphysiological signalsquantitative sensory testingsensor modalitytime window

More Related Videos

A Protocol of Manual Tests to Measure Sensation and Pain in Humans
07:28

A Protocol of Manual Tests to Measure Sensation and Pain in Humans

Published on: December 19, 2016

20.8K
A Quantitative Sensory Testing Paradigm to Obtain Measures of Pain Processing in Patients Undergoing Breast Cancer Surgery
07:14

A Quantitative Sensory Testing Paradigm to Obtain Measures of Pain Processing in Patients Undergoing Breast Cancer Surgery

Published on: January 18, 2018

9.2K

Related Experiment Videos

Last Updated: May 14, 2025

Dynamic Quantitative Sensory Testing to Characterize Central Pain Processing
09:16

Dynamic Quantitative Sensory Testing to Characterize Central Pain Processing

Published on: February 16, 2017

16.8K
A Protocol of Manual Tests to Measure Sensation and Pain in Humans
07:28

A Protocol of Manual Tests to Measure Sensation and Pain in Humans

Published on: December 19, 2016

20.8K
A Quantitative Sensory Testing Paradigm to Obtain Measures of Pain Processing in Patients Undergoing Breast Cancer Surgery
07:14

A Quantitative Sensory Testing Paradigm to Obtain Measures of Pain Processing in Patients Undergoing Breast Cancer Surgery

Published on: January 18, 2018

9.2K

Area of Science:

  • Biomedical Engineering
  • Pain Medicine
  • Physiological Monitoring

Background:

  • Chronic pain significantly reduces quality of life.
  • Objective pain assessment tools are needed to complement subjective reporting.
  • Individual differences in pain perception require personalized monitoring.

Purpose of the Study:

  • To introduce a novel framework for objective pain intensity classification using physiological signals.
  • To identify optimal sensor configurations for pain assessment.
  • To evaluate the contribution of individual physiological sensors to pain classification accuracy.

Main Methods:

  • Utilized a 24-participant study with sensors measuring blood volume pulse (BVP), galvanic skin response (GSR), electromyography (EMG), respiration rate (RR), skin temperature (ST), and pupillometry.
  • Employed a grid search with 10-fold cross-validation to optimize time windows and machine learning hyperparameters.
  • Implemented a leave-one-out analysis to assess the contribution of each sensor modality.

Main Results:

  • Optimal time windows for pain classification were identified: 3s (pressure), 2s (pinprick), and 1s (cuff).
  • Blood volume pulse (BVP) significantly improved classification accuracy across pinprick and cuff sessions.
  • Galvanic skin response (GSR), respiration rate (RR), and pupillometry were stimulus-specific, while EMG and ST showed minimal impact.

Conclusions:

  • Physiological signals, particularly BVP, can objectively classify pain intensity.
  • Sensor configurations can be optimized for personalized pain management by identifying critical and redundant modalities.
  • Findings support the development of more accurate and personalized pain assessment tools.