HISTORY

Cuff pressure algometry is based on research from the past 15 years at Center for Sensory-Motor Interaction (SMI), Aalborg University, Denmark. In 2013 this research resulted in NociTech as a spin-out from Aalborg University, which has been developing and maturing the technology.

Cuff pressure algometry has been documented to be reliable and reproducible. The method has furthermore been widely used to study pain mechanisms in healthy controls and in patients with chronic pain conditions.

CUFF PRESSURE ALGOMETRY

Cuff pressure algometry is a novel method for quantitative, objective pain assessment that enables a mechanism-based quantification of pain sensitivity. The mechanistic approach can identify pain mechanisms related to the peripheral or central nervous system

Cuff pressure algometry uses computer controlled cuffs that are inflated on the test subject´ arms or legs to induce pressure pain while the subject rates the sensation on a user-defined Visual Analog Scale ( VAS). Well-defined and precisely delivered pressure stimulations will be performed by the device. This enables the experimenter to employ protocols that assess the subjects´ stimulus response to pressure, temporal and spatial summation as well as conditioned pain modulation (CPM).

BENEFITS

Clinically relevant data. Assesses deep tissue pain as opposed to cutaneous pain assessed by conventional handheld pressure algometry.

Automate your experiments. Pre-defined experimental protocols that automates execution of experiments that eliminates experimenter bias.

Faster data analysis. Data is automatically saved in formats that enable easy analysis in programs such as Excel, Matlab or SPSS.

Computer controlled. Computer controlled pressure stimulation enabling well-defined, precise stimulus-response curves, temporal and spatial summation, and conditioned pain modulation.

Keep track of your experiments. Automatic logging of all events relevant for the analysis of experimental data.

Marianne Andersen, CEO

“Our aim is to revolutionize the way pain patients are diagnosed and treated.”

Marianne Andersen has a BSc degree in medtech electronics and an Executive Master of Business Administration eMBA. For the past 25 years, she has worked with product and business development and strategy for global medtech companies.