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  3. Hand Size Measurements In Children Aged 1-15 Years To Help The Development Of Pediatric Electromyography Sensors For Neuromuscular Monitoring.
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  3. Hand Size Measurements In Children Aged 1-15 Years To Help The Development Of Pediatric Electromyography Sensors For Neuromuscular Monitoring.

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Hand Size Measurements in Children Aged 1-15 Years to Help the Development of Pediatric Electromyography Sensors for

Réka Nemes1,2, Erzsébet Németh1,2, Katalin A Szatmári1,2

  • 1Department of Anaesthesiology and Intensive Care, University of Debrecen, 4032 Debrecen, Hungary.

Journal of Clinical Medicine
|November 13, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

This study collected pediatric hand measurements to aid in designing electromyography (EMG) electrodes for neuromuscular monitoring in children. Findings provide crucial anthropometric data for pediatric device development.

Keywords:
electromyographyneuromuscular blockneuromuscular monitorpediatric neuromuscular monitoring

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Area of Science:

  • Pediatric anthropometry
  • Biomedical engineering
  • Neuromuscular monitoring

Background:

  • Designing pediatric medical devices requires accurate anthropometric data.
  • Existing data for pediatric hand dimensions, especially for device design, is limited.
  • Electromyography (EMG) based neuromuscular monitoring is crucial in pediatric anesthesia.

Purpose of the Study:

  • To collect comprehensive hand measurements and anthropometric data in children aged 1-15 years.
  • To establish a pediatric hand size database for the design of pediatric EMG electrodes.
  • To inform the development of effective quantitative neuromuscular monitoring tools for pediatric anesthesia.

Main Methods:

  • An observational study involving 153 children aged 1-15 years.
  • Collection of demographic data (age, sex, weight, height, hand dominance) and specific hand/forearm measurements (e.g., wrist circumference, finger lengths).
  • Data analysis included age-based grouping and correlation analysis with height, age, and weight.

Main Results:

  • Pediatric hand size parameters significantly increase with age.
  • Height demonstrated a stronger correlation with hand size parameters (0.702-0.961) compared to age (0.665-0.904) or weight (0.675-0.863).
  • A database of pediatric hand measurements was successfully created.

Conclusions:

  • The generated pediatric hand size database offers novel insights for device design.
  • This data directly contributed to the design of a pediatric skin electrode for EMG monitoring.
  • The findings support the integration of quantitative neuromuscular monitoring in pediatric anesthesia practices.