MicroPort Scientific has patented a method for processing cardiac signals using multiple threshold levels to detect arrhythmias. The method involves determining statistical parameters from intersections with the thresholds and providing defibrillation shocks based on the analysis. GlobalData’s report on MicroPort Scientific 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 MicroPort Scientific, Glucose monitoring wearbles was a key innovation area identified from patents. MicroPort Scientific's grant share as of May 2024 was 44%. Grant share is based on the ratio of number of grants to total number of patents.
Method for processing cardiac signals to detect arrhythmia for defibrillation
A recently granted patent (Publication Number: US11998751B2) discloses a method for processing a cardiac signal to detect arrhythmias and provide defibrillation shocks to patients. The method involves providing multiple threshold levels, detecting intersections of the cardiac signal with these thresholds, determining statistical parameters based on these intersections, and delivering a shock based on the parameters. The statistical parameters are indicative of arrhythmias, and the method aims to improve the accuracy and efficiency of defibrillation procedures.
Furthermore, the patent also covers a subcutaneous active implantable medical device that implements the method. The device includes a housing, a subcutaneous implantable lead with sensing electrodes for capturing cardiac rhythms, and a control circuit. The control circuit is responsible for setting threshold levels, detecting intersections of the cardiac signal with these thresholds, determining statistical parameters, and delivering defibrillation shocks based on the parameters. This innovative device aims to enhance the monitoring and treatment of cardiac arrhythmias by providing real-time analysis and intervention capabilities through subcutaneous implantation.
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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 across the world’s largest industries.
