MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049223 A) filed by K. Umamaheswari; and S. Keerthana, Karur, Tamil Nadu, on April 17, for 'multi-modal cardiopulmonary coordination index for predictive hemodynamic monitoring in ambulances.'

Inventor(s) include Balaji G; Diwakar K; and Yogesh S.

The application for the patent was published on May 1, under issue no. 18/2026.

According to the abstract released by the Intellectual Property India: "Constant observation of physiological parameters during prehospital transportation of patients in case of an emergency is essential in order to identify patient deterioration in time. Conventional ambulance monitoring systems individually measure the individual vital signs, heart rate, respiratory rate, blood pressure, and oxygen saturation, which may miss delicate interactions between the cardiovascular and respiratory systems. The paper introduces a Multi-Modal Cardiopulmonary Coordination Index (MCCI), which is a predictive model that combines various physiological indicators, such as electrocardiogram (ECG), photoplethysmography (PPG), respiratory waveforms, and peripheral oxygen saturation (SpO2) to estimate dynamic cardiopulmonary coordination. The system combines either a lightweight artificial intelligence model with temporal relationships and synchronization patterns of these signals to produce a real-time coordination index, which is an indication of overall physiological stability. The MCCI is also based on inter-signal coherence, unlike the traditional methods of threshold signalling, which allows to detect the latent illness in its early stages, well before a specific vital parameter reaches the critical values. The framework is intended to be a small, efficient structure that can be carried by an ambulance and disaster response unit and help in making quick clinical decisions. The SIM-based validation shows that simulation-based validation has better early deterioration detection, sensitivity, and false alarm than traditional monitoring methods, as the MCCI framework has the potential to enhance emergency patient care and outcomes."

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