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公开(公告)号:US20220101990A1
公开(公告)日:2022-03-31
申请号:US17488963
申请日:2021-09-29
Applicant: Boston Scientific Scimed Inc.
Inventor: Nathan H. Bennett , Brian Stewart , Nicholas Herlambang , Suzhou Li
Abstract: At least some aspects of the present disclosure is directed to a system for processing cardiac information. The system comprises a processing unit configured to: receive an activation waveform comprising a set of activation waveform data of a plurality of signal sections collected at a plurality of locations; receive a range of window size. The processing unit is further configured to: for each signal section of the plurality of signal sections, determine a set of confidence values, each confidence value corresponding to a window size, by iterating through a plurality of window sizes in the range of window size. The processing unit is further configured to determine one of a plurality of local cycle lengths for the each of the plurality of signal sections based on the selected window size and generate a local cycle length histogram based on the plurality of local cycle lengths.
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公开(公告)号:US20180325456A1
公开(公告)日:2018-11-15
申请号:US15975352
申请日:2018-05-09
Applicant: Boston Scientific Scimed Inc.
Inventor: Daniel Klebanov , Nicholas Herlambang , Ruslan R. Hristov , Jacob I. Laughner , Mordechai Perlman
CPC classification number: A61B5/6885 , A61B5/0422 , A61B5/0538 , A61B5/6852 , A61B18/1206 , A61B18/14 , A61B18/1492 , A61B2018/00351 , A61B2018/00577 , A61B2018/00791 , A61B2018/00875 , A61B2018/00892 , A61B2090/065
Abstract: Medical devices and method for generating multi-time scale waveforms for display of sensor measurements are disclosed. Sensed or measured output signals from a sensor, such as a catheter, are processed to generate a first data set that uses a first time scale and a second data set that uses a second time scale. The generated data sets are then displayed on a display by juxtaposing the first data set with the second data set. In this manner, measurement data from the sensor can be shown in dual time scales that allow for faster and more efficient visual diagnostic assessments.
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公开(公告)号:US20220095986A1
公开(公告)日:2022-03-31
申请号:US17489036
申请日:2021-09-29
Applicant: Boston Scientific Scimed Inc.
Inventor: Nathan H. Bennett , Brian Stewart , Nicholas Herlambang , Suzhou Li , Mordechai Periman
Abstract: At least some embodiments of the present disclosure is directed to a system for processing cardiac information. The system comprises a processing unit configured to: receive an activation waveform comprising a set of activation waveform data of a plurality of signal sections collected at a plurality of locations; receive a range of window size. For each of the plurality of signal sections, the processing unit is further configured to: determine a set of confidence values, by iterating through a plurality of window sizes in the range of window size. For each of the plurality of signal sections, the processing unit is further configured to determine one of a plurality of local cycle lengths for the each of the plurality of signal sections based on the selected window size. And generate a representation of the plurality of local cycle lengths.
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4.
公开(公告)号:US20220095984A1
公开(公告)日:2022-03-31
申请号:US17488959
申请日:2021-09-29
Applicant: Boston Scientific Scimed Inc.
Inventor: Nathan H. Bennett , Brian Stewart , Suzhou Li , Rudy Gelb-Bicknell , Nicholas Herlambang , Mordechai Perlman
Abstract: At least some embodiments of the present disclosure is directed to a method of processing cardiac information. The method includes the steps of: receiving an activation waveform comprising a set of activation waveform data; receiving a range of window size. For each of the plurality of window sizes, the method further includes the steps of: selecting a position of a central window; calculating a set of backward correlations; calculating a set of forward correlations; determining a backward confidence value based on the set of backward correlations; and determining a forward confidence value based on the set of forward correlations. Additionally, the method includes the steps of: comparing the set of confidence values to select a designated confidence value and a selected window size corresponding to the designated confidence value; and determining a local cycle length based on the selected window size.
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