Alphatec. has filed a patent for a method using SSEP system to monitor evoked potentials in a subject. The system alerts medical workers if ongoing potentials deviate from baseline, allowing for timely corrective action to prevent nervous system injury. The method aims to automate the process with minimal discretion required. GlobalData’s report on Alphatec 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 Alphatec, Prosthetic cardiac valves was a key innovation area identified from patents. Alphatec's grant share as of January 2024 was 60%. Grant share is based on the ratio of number of grants to total number of patents.
Automated method for monitoring ssep recordings for potential injury
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A patent application (Publication Number: US20240032849A1) describes a method for determining the presence, absence, and monitorability of evoked potentials within SSEP recordings. The method involves acquiring SSEP recordings from a subject, identifying evoked potentials, comparing ongoing potentials to a baseline, and executing an alert when deviations occur. The method includes features such as calculating peak markers, determining monitorability using machine learning algorithms, and adapting data size based on confidence values.
Furthermore, the patent application details the use of a nerve injury detection device within an SSEP system, comprising stimulating and recording electrodes. The device implements the method described in the patent for monitoring evoked potentials. It also includes features like identifying artifacts, compensating for noise, and providing alerts through various means like auditory, visual, or haptic alerts. Additionally, the application covers a method for identifying relevant peaks in ongoing SSEP recordings by comparing them to a predetermined baseline recording and selecting primary and reference peaks based on amplitude and latency criteria.
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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
