公开(公告)号：EP3760107A1

公开(公告)日：2021-01-06

申请号：EP20183580.8

申请日：2020-07-02

申请人： Tata Consultancy Services Limited

发明人： KIMBAHUNE, Sanjay Madhukar ,  SHINDE, Sujit Raghunath ,  KHANDELWAL, Sundeep ,  BHATTACHARJEE, Tanuka ,  Mukhopadhayay, Shalini ,  Banerjee, Rohan ,  Ghose, Avik ,  Chakravarty, Tapas

IPC分类号： A61B5/00 ,  A61B5/044 ,  A61B5/026 ,  A61B8/02 ,  A61B8/00

摘要： Embodiments herein provide a system and method for screening and monitoring of cardiac diseases by analyzing acquired physiological signals. Unlike state of art approaches that consider only synchronized ECG and PPG signals for cardiac health analysis and do not consider PCG which is a critical signal for CAD analysis, the system synchronously captures physiological signals such as photo plethysmograph (PPG), phonocardiogram (PCG) and electrocardiogram (ECG) from subject(s) and builds an analytical model in the cloud for analyzing heart conditions from the captured physiological signals. The system and method provides a fusion based approach of combining the captured physiological signals such as PPG, PCG and ECG along with other details such as subject clinical information, demography information and so on. The analytical model is pretrained using ECG. PPG and PCG along with metadata associated with the subject such as demography and clinical information.

公开(公告)号：EP4273766A1

公开(公告)日：2023-11-08

申请号：EP22215433.8

申请日：2022-12-21

申请人： Tata Consultancy Services Limited

发明人： DOKE, Pankaj ,  BHAVSAR, Karan Rajesh ,  SRIVASTAVA, Akhilesh Chandra ,  KIMBAHUNE, Sanjay ,  SHINDE, Sujit Raghunath ,  PAPPULA, Srinivasu

IPC分类号： G06Q10/00 ,  G06Q10/06 ,  G06Q10/063 ,  G06Q10/0631 ,  G06Q10/0637 ,  G06Q10/067

摘要： Socio-technical system (STS) service design is an approach to design that consider human, social and organizational factors, as well as technical factors. Due to the nature of STS, any human effort will have challenges in terms of time and resource constraints in such a scenario. A method and system for designing the STS service at scale has been provided. The present disclosure is configured to bring efficiency in terms of time taken and efficacy in terms of dimensions covered. The system uses machine learning methods and natural language processing to aid the rapid process transformation of design thinking for STS. The system is using machine intervention for dimensionality reduction, helps in giving a weighted approach towards goal achievement irrespective of human biases. The prototype is expressed in a commonly understandable human language helping in prototype evaluation - visualizing the prototype even before it is built.