公开(公告)号：US20220344055A1

公开(公告)日：2022-10-27

申请号：US17653248

申请日：2022-03-02

Applicant: Tata Consultancy Services Limited

Inventor： AVIK GHOSE ,  AVIJIT SAMAL ,  NASIMUDDIN AHMED ,  SHIVAM SINGHAL ,  KARAN BHAVSAR ,  VIVEK CHANDEL ,  SUNDEEP KHANDELWAL ,  HARSH VISHWAKARMA ,  BHASKAR PAWAR

IPC: G16H50/30 ,  G06F16/25 ,  G16H40/67

Abstract: Non-communicable diseases (NCDs) are the pandemics of modern era and are generating huge impact in the modern society. Conventional methods are inaccurate due to a challenge in handling data from heterogenous sensors. The present disclosure is capable of tracking fitness parameters of a user even with heterogenous sensors. Initially, the system receives a raw data from a plurality of heterogenous sensors associated with the user. The raw data is further transformed into a metadata format associated with the corresponding sensor. The transformed data is temporally aligned based on a time based slotting. An algorithm pipeline corresponding to a disorder to be analyzed is selected from a Directed Acyclic Graph (DAG) based on a sensor metadata and a plurality of algorithm metadata corresponding to a plurality of algorithms stored in an algorithm database and an algorithm pipeline. The corresponding disorder is analyzed using the algorithm pipeline.