Load Cell

Precision sensor for handgrip, traction, and other heavy-duty force sensing applications.

The biosignalsplux Load Cell is a single-axis force sensor designed for continuous force measurements in biomechanics, rehabilitation, ergonomics, and sports research applications.

Its sturdy design and small form-factor are ideal for measuring handgrip forces, traction/compression and similar applications, will enabling an unobtrusive measurement even in the most demanding applications. Together with the available Load Cell range options and accessories, this sensor can be adjusted during the manufacturing process to meet application-specific force range and form-factor requirements.

Load Cell Sample Signal
  • Force measurement
  • Tension & compression measurement
  • Pre-conditioned analog output
  • High signal-to-noise ratio
  • Custom ranges available
  • Ready-to-use & miniaturized form-factor
Range Up to ±100kg
Accuracy ±0.25% (of full scale)
Maximum overload 150% (of full scale)
Connector Type UC-E6 (Male)
Operation Tension-compression
Type Strain gage
Cable Length 100cm±0.5cm (customizable)

This sensor is not a standalone use sensor and requires the use of a biosignalsplux hub. It can be used with the following biosignalsplux kits and systems for data acquisition:

D. Santos, C. Matias, C. Monteiro, A. Silva, P. Rocha, C. Minderico, L. Sardinha, M. Laires, Magnesium intake is associated with strength performance in elite basketball, handball and volleyball players, in Magnesium Research, vol. 24, no. 4, pp. 215-219, 2019

C. Marques, R. Santos, H. Gamboa, F. Lampe, J. Barreiros, J. Cabri, Brake Response Time Before and After Total Knee Arthroplasty Tacking Possible Effects of the Surgery Technique on Motor Performance: Report of Two Cases, in Proc. of the Int. Conf. on Bio-Inspired Systems and Signal Processing, vol. 1, pp. 419-422, 2012

A. Silva, C. Matias, D. Santos, P. Rocha, C. Minderico, L. Sardinha, Increases in Intracellular Water Explain Strength and Power Improvements over a Season, in International Journal of Sports Medicine, vol. 35, no. 13, pp. 1101-1105, 2014

H. Silva, G. Martins, S. Palma, P. Mil-Homens, M. Valamatos, An Automated Athlete Performance Evaluation System. From theory to practice., 2009

H. Silva, G. Martins, P. Mil-Homens, M. Valamatos, Athletic Performance Evaluation System, 2008

Looking for more?

Visit the biosignalsplux publications page for a full list of available publications.

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