NON-INVASIVE PREDICTION OF RISK FOR SUDDEN CARDIAC DEATH

    公开(公告)号:US20220386966A1

    公开(公告)日:2022-12-08

    申请号:US17742741

    申请日:2022-05-12

    摘要: A method and apparatus for the quantitative determination of an individual's risk for sudden cardiac death (SCD) is described. Risk determination is accomplished and may have a sensitivity and specificity of greater than 95%, by generating linear and nonlinear mathematical digital ECG-constructed models from digital ECG-type data of an individual's digital ECG, determining stability/instability of digital ECG-constructed control model systems corresponding to the digital ECG-constructed models by a plurality of techniques and transforming stability/instability values obtained by the determining stability/instability into a quantitative value reflecting an individual's risk for SCD.

    Non-invasive prediction of risk for sudden cardiac death

    公开(公告)号:US11331049B2

    公开(公告)日:2022-05-17

    申请号:US16947899

    申请日:2020-08-24

    摘要: A method and apparatus for the quantitative determination of an individual's risk for sudden cardiac death (SCD) is described. Risk determination is accomplished and may have a sensitivity and specificity of greater than 95%, by generating linear and nonlinear mathematical digital ECG-constructed models from digital ECG-type data of an individual's digital ECG, determining stability/instability of digital ECG-constructed control model systems corresponding to the digital ECG-constructed models by a plurality of techniques and transforming stability/instability values obtained by the determining stability/instability into a quantitative value reflecting an individual's risk for SCD.

    Non-invasive prediction of risk for sudden cardiac death

    公开(公告)号:US11045135B2

    公开(公告)日:2021-06-29

    申请号:US16261248

    申请日:2019-01-29

    摘要: A method and apparatus for the quantitative determination of an individual's risk for sudden cardiac death (SCD) is described. Risk stratification is accomplished (and may have a sensitivity and specificity of greater than about 90%) by determining the presence in any individual being tested for SCD risk of sequences identified herein to correlate quantitatively with SCD risk. Both the number of such sequences present and their alignment scores (similarity) with the SCD risk sequence ensemble are used to calculate quantitative SCD risk.

    NON?INVASIVE PREDICTION OF RISK FOR SUDDEN CARDIAC DEATH

    公开(公告)号:US20180249965A1

    公开(公告)日:2018-09-06

    申请号:US15759386

    申请日:2016-09-13

    IPC分类号: A61B5/00 A61B5/0402 A61B5/04

    摘要: A method and apparatus for the quantitative determination of an individual's risk for sudden cardiac death (SCD) is described. Risk determination is accomplished and may have a sensitivity and specificity of greater than 95%, by generating linear and nonlinear mathematical digital ECG-constructed models from digital ECG-type data of an individual's digital ECG, determining stability/instability of digital ECG-constructed control model systems corresponding to the digital ECG-constructed models by a plurality of techniques and transforming stability/instability values obtained by the determining stability/instability into a quantitative value reflecting an individual's risk for SCD.

    NON-INVASIVE PREDICTION OF RISK FOR SUDDEN CARDIAC DEATH

    公开(公告)号:US20210378576A1

    公开(公告)日:2021-12-09

    申请号:US17350381

    申请日:2021-06-17

    摘要: A method and apparatus for the quantitative determination of an individual's risk for sudden cardiac death (SCD) is described. Risk stratification is accomplished (and may have a sensitivity and specificity of greater than about 90%) by determining the presence in any individual being tested for SCD risk of sequences identified herein to correlate quantitatively with SCD risk. Both the number of such sequences present and their alignment scores (similarity) with the SCD risk sequence ensemble are used to calculate quantitative SCD risk.

    NON-INVASIVE PREDICTION OF RISK FOR SUDDEN CARDIAC DEATH

    公开(公告)号:US20190150769A1

    公开(公告)日:2019-05-23

    申请号:US16261248

    申请日:2019-01-29

    摘要: A method and apparatus for the quantitative determination of an individual's risk for sudden cardiac death (SCD) is described. Risk stratification is accomplished (and may have a sensitivity and specificity of greater than about 90%) by determining the presence in any individual being tested for SCD risk of sequences identified herein to correlate quantitatively with SCD risk. Both the number of such sequences present and their alignment scores (similarity) with the SCD risk sequence ensemble are used to calculate quantitative SCD risk.

    NON-INVASIVE PREDICTION OF RISK FOR SUDDEN CARDIAC DEATH

    公开(公告)号:US20210128072A1

    公开(公告)日:2021-05-06

    申请号:US16947899

    申请日:2020-08-24

    摘要: A method and apparatus for the quantitative determination of an individual's risk for sudden cardiac death (SCD) is described. Risk determination is accomplished and may have a sensitivity and specificity of greater than 95%, by generating linear and nonlinear mathematical digital ECG-constructed models from digital ECG-type data of an individual's digital ECG, determining stability/instability of digital ECG-constructed control model systems corresponding to the digital ECG-constructed models by a plurality of techniques and transforming stability/instability values obtained by the determining stability/instability into a quantitative value reflecting an individual's risk for SCD.

    Non-invasive prediction of risk for sudden cardiac death

    公开(公告)号:US10226196B2

    公开(公告)日:2019-03-12

    申请号:US15693730

    申请日:2017-09-01

    摘要: A method and apparatus for the quantitative determination of an individual's risk for sudden cardiac death (SCD) is described. Risk stratification is accomplished (and may have a sensitivity and specificity of greater than about 90%) by determining the presence in any individual being tested for SCD risk of sequences identified herein to correlate quantitatively with SCD risk. Both the number of such sequences present and their alignment scores (similarity) with the SCD risk sequence ensemble are used to calculate quantitative SCD risk.