Work

A syringe-based digital algometer with a USB interface: a low-cost alternative to commercially available devices

Year: 2025
Type: article
Abstract: Quantitative pain assessment is important for effective pain management. Pain pressure threshold (PPT) and Pain Tolerance (PT) measured through pressure algometry offer valuable tools for quantitative evaluation of nociceptive stimuli. Commercially available pressure algometers are often expensive, lack modularity and cannot integrate well into multi-component monitoring systems. Although low-cost algometers are available, most require complex calibration and lack a digital interface, limiting real-time data acquisition and integration with electronic health record systems. In the current study, we describe a durable and accurate pressure algometer built on a syringe, an Arduino microprocessor and an analog piezoelectric pressure sensor. The PPT values obtained with our device align well with data obtained with commercially available digital and mechanical algometers. In addition, our device can be easily connected to computer via a USB, allowing for convenient data storage and analysis. Our results demonstrate the accuracy and reliability of a novel algometry device constructed from readily available materials and requires minimal engineering and programming skills. The device operates without addition calibration and can seemlessly integrate with a computer using open-source software. Highlights We present a digital algometer comprised of a standard plastic syringe, an analog pressure sensor, and an Arduino UNO microcontroller. The device provides applied force measurement with high precision, compatible with commercially available algometers. The device is user-friendly, requiring no special skills or software to use, and transfers data directly to a computer. Additionally, it may be synchronized with other biosensors for multichannel signal acquisition.
Language: English
Subfield: Physiology
Field: Medicine
Open Access status: gold
Estimated APC paid: $3,077
OpenAlex ID: W4413998618
FWCI:
Cites: 15
Cited by:
Related to: 10