Shenzhen Mindray Bio-Medical Electronics has been granted a patent for an apparatus and method for removing high-frequency radio frequency interference. The invention involves filtering an original electroencephalogram signal, extracting a high-frequency signal, and performing classification marking on the signal to remove interference. The patent also includes a method for determining the type of interference and applying corresponding processing to the electroencephalogram signal. GlobalData’s report on Shenzhen Mindray Bio-Medical Electronics 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 Shenzhen Mindray Bio-Medical Electronics, AI-assisted ultrasonography was a key innovation area identified from patents. Shenzhen Mindray Bio-Medical Electronics's grant share as of September 2023 was 37%. Grant share is based on the ratio of number of grants to total number of patents.
Removing high-frequency radio frequency interference from electroencephalogram signals
A recently granted patent (Publication Number: US11770146B2) describes a method and apparatus for removing high-frequency radio frequency interference from electroencephalogram (EEG) signals. The method involves several steps to identify and process the interference signals.
The method begins by acquiring an EEG signal and performing high-pass filtering to obtain an intermediate signal. A time-domain feature of the intermediate signal is then obtained within a preset duration, and a detection threshold value is calculated based on this feature. The next step involves obtaining a sub-intermediate signal within another preset duration and determining the signal type of this sub-intermediate signal using the detection threshold value. The signal type can reflect different degrees of interference on the EEG signal.
The determination of the signal type can be done in two ways. In one approach, a first and second threshold value are obtained based on the detection threshold value. If the amplitude of the sub-intermediate signal is greater than or equal to the first threshold value, it is classified as an interference signal. If the amplitude is less than the first threshold value but greater than or equal to the second threshold value, it is classified as a possible interference signal. If the amplitude is less than the second threshold value, it is classified as a non-interference signal.
Alternatively, the signal type can be determined based on the proportion of the sub-intermediate signal with an amplitude greater than the detection threshold value within the preset duration. If the proportion is greater than or equal to a first threshold value, it is classified as an interference signal. If the proportion is smaller than the first threshold value but greater than or equal to a second threshold value, it is classified as a possible interference signal. If the proportion is smaller than the second threshold value, it is classified as a non-interference signal.
Once the signal type is determined, the method involves performing corresponding processing on the EEG signal based on the signal type. This can include deleting or replacing the interference signal, outputting the possible interference signal with a prompt message indicating its unreliability, or weakening the possible interference signal. The apparatus for implementing this method includes a collection circuit for acquiring the EEG signal and a processor for performing the necessary filtering and processing steps.
Overall, this patent presents a method and apparatus for effectively removing high-frequency radio frequency interference from EEG signals, improving the reliability and accuracy of EEG measurements.
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