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The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
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Updated: Jun 23, 2026

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An Ultrasound Prototype for Remote Hand Movement Sensing: The Finger Tapping Case.

Stefano Franceschini1, Maria Maddalena Autorino1, Michele Ambrosanio2

  • 1Department of Engineering, University of Napoli Parthenope, Centro Direzionale, 80143 Napoli, Italy.

Sensors (Basel, Switzerland)
|January 11, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new contactless ultrasound system for precisely measuring finger tapping speed and displacement. This technology offers objective, quantitative data to assess neurodegenerative disease severity, improving upon current visual assessments.

Keywords:
Dopper effectParkinson diseasebradykinesiafinger tappingshort-range remote sensingultrasound

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Area of Science:

  • Biomedical Engineering
  • Neurology
  • Medical Diagnostics

Background:

  • Finger tapping is a clinical standard for assessing neurodegenerative disease severity.
  • Current assessment relies on subjective visual observation of bradykinesia, rigidity, and tremor.
  • Patients with neurodegenerative diseases often show instability in tap rate and finger displacement.

Purpose of the Study:

  • To develop and validate a novel ultrasound contactless system for quantitative finger tapping analysis.
  • To provide objective measurements of tap rate and finger displacement.
  • To enhance the clinical evaluation of neurodegenerative conditions.

Main Methods:

  • Utilized an ultrasound sonar system to measure the Doppler spectrum of reflected waves from the hand.
  • Applied time-frequency analysis and specialized data processing techniques.
  • Conducted real-world testing with volunteer finger tapping sessions.

Main Results:

  • The system accurately measured finger tapping rates.
  • The system accurately measured finger displacements.
  • Demonstrated the potential for quantitative assessment of hand movement characteristics.

Conclusions:

  • The novel ultrasound system offers a precise, contactless method for quantifying finger tapping.
  • This technology can provide objective data to aid in the clinical assessment of neurodegenerative diseases.
  • The system has demonstrated feasibility and accuracy in real-world testing scenarios.