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DPIIT‑Recognized Startup (Government of India) — AI & Machine Learning Sector


A Physics-informed Coupled Oscillator Framework for Synthetic ECG Generation
Coupled Oscillator Representation of Cardiac Electrical Activity The Synthetic ECG generation process begins with cardiac dynamics as network of biological oscillators. This network includes the Sinoatrial node (SA), the Atrioventricular (AV) node, and the His–Purkinje (HP) complex, each exhibiting an intrinsic rhythm and distinct electrical properties. Their ordered interaction gives rise to the heart's electrical signaling, guiding how these impulses propagate and enabling
Kasturi Murthy
May 64 min read
Lepakshi ECG Annotator: A Complete Pipeline for Labeling, Digitizing and Validating ECG Leads
Intuitus has released the Lepakshi-ECG Annotator Beta, a compact windows application designed for fast, accurate annotation of 12-lead ECG images. While the current version focuses on interactive bounding-box creation and JSON export, we are excited to preview a major breakthrough in our upcoming, yet-to-be-released version: the ability to use the software not just for annotation, but as high-fidelity grid removal engine for downstream Deep Learning models. The Lepakshi Workf
Kasturi Murthy
Apr 253 min read
Lepakshi ECG Annotator — Label ECG Leads with Bounding Boxes
Intuitus has released Lepakshi- ECGAnnotator Beta version , a compact Windows application designed for fast, accurate annotation of 12‑lead ECG images. It supports interactive bounding‑box creation, keyboard‑driven adjustments, JSON export, and a clean, responsive UI — ideal for preparing datasets for YOLO (You Only Look Once) and other computer‑vision workflows. YOLO is a real‑time object detection method that identifies and localizes multiple objects in a single pass throug
Kasturi Murthy
Jan 142 min read
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