This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Paindrainer Ab. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Mats Göran Barkfors and Pain-Management Innovation.
Introduction
Mats Göran Barkfors is an inventor associated with Lund, Sweden. His patent work includes a pain-management system designed to help users identify personalized settings for managing pain.
Latest Patents
The available information lists one patent for Barkfors: “Pain management system.” The system receives a target pain score representing the level of pain a user considers acceptable over a defined period. It also receives target input parameters describing the user’s properties or activities during that period, selected from a broader set of available parameters, along with settings indicating which parameters should be increased or decreased.
A neural network trained for the individual user uses the target pain score and input parameters to determine calculated user parameters. At least one calculated parameter is adjusted according to the specified settings, and the system presents the results through a user interface. The approach combines personalized modeling with user-directed adjustments to support pain management.
Career Highlights
Barkfors is associated with Paindrainer AB. His listed patent reflects work on applying individualized neural-network analysis to a practical health-management system. The available details do not specify his role at the company or provide further career history.
Collaborations
The listed coworkers include Maria Linnea Elisabeth Rosén Klement and Carl Arne Krister Borrebaeck. The available information does not describe their specific contributions to the patent or their working relationship with Barkfors.
Conclusion
Mats Göran Barkfors’s listed invention focuses on personalized pain management, using user-defined goals and an individually trained neural network to generate adjustable parameters.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile