Paul Grouchy,Meng Lei,Ian Shadforth,Sunny Gupta,Timothy Burton,Shyamlal Ramchandani
申请号：
US16429593
公开号：
US20190365265A1
申请日:
2019.06.03
申请国别(地区):
US
年份:
2019
代理人:
摘要：
Phase space tomography methods and systems to facilitate the analysis and evaluation of complex, quasi-periodic system by generating computed phase-space tomographic images and mathematical features as a representation of the dynamics of the quasi-periodic cardiac systems. The computed phase-space tomographic images can be presented to a physician to assist in the assessment of presence or non-presence of disease. In some implementations, the phase space tomographic images are used as input to a trained neural network classifier configured to assess for presence or non-presence of pulmonary hypertension, including pulmonary arterial hypertension.
