BrainLAB has filed a patent for a computer-implemented medical data processing method that controls the geometric status of a mechatronic articulable arm. The method involves acquiring current and changed geometric status data, determining instruction data for changing the geometric status, and describing changes in spatial relationships between connected elements of the arm. Claim 1 has been canceled. GlobalData’s report on BrainLAB gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on BrainLAB, Surgical robots was a key innovation area identified from patents. BrainLAB's grant share as of September 2023 was 62%. Grant share is based on the ratio of number of grants to total number of patents.

A computer-implemented method for controlling a mechatronic arm's geometric status

Source: United States Patent and Trademark Office (USPTO). Credit: BrainLAB AG

A recently filed patent (Publication Number: US20230293248A1) describes a computer-implemented method for controlling the geometric status of a mechatronic articulable arm. The method involves acquiring current device position data and current geometric status data, as well as changed device position data and device definition data. Based on this information, the method determines changed geometric status data and instruction data for manually changing the geometric status of the arm. The instruction data is then outputted to an associated user via an output device for controlling the arm's geometric status.

The method also includes acquiring current geometric status data based on electric signals generated by encoders associated with the connected elements of the arm. The changed geometric status data describes encoder positions that should be attained in the changed geometric status.

Additionally, the method involves determining information describing adjustments to be made to the spatial relationships between the connected elements. This includes determining the direction to move the elements relative to each other so that the encoders attain the desired positions.

The method further includes acquiring encoder position data and determining spatial relationship check data to determine if the spatial relationships between the connected elements are equal to the changed spatial relationships. Based on this, lock signal data can be determined to lock the spatial relationships in their current positions.

The method also determines the order in which the spatial relationships between the connected elements should be adjusted. This order can be based on factors such as mechanical resolution, distance from a base part, joint type, or movability.

The method can be repeatedly executed after each adjustment of the spatial relationships, and it applies numerical optimization techniques, such as Jacobian Pseudo-Inverse numerical optimization, to determine the changed geometric status.

The patent also describes a medical system that includes an output device, a mechatronic articulable arm with connected elements, and a computer for implementing the method described above. The computer acquires the necessary data and outputs the instruction to the output device for controlling the arm's geometric status.

In conclusion, this patent presents a computer-implemented method and a medical system for controlling the geometric status of a mechatronic articulable arm. The method involves acquiring various data, determining changed geometric status and instruction data, and outputting the instruction to an associated user for controlling the arm's geometric status.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies