MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025628 A) filed by Madhankumar C; Mr Jeniton S; Yookesh S; Hari Ragav D; Santhiya R; and Priyadharshini R, Pollachi, Tamil Nadu, on March 4, for 'biosignal transmission and visualization module.'
Inventor(s) include Mr Jeniton S; Yookesh S; Hari Ragav D; Santhiya R; and Priyadharshini R.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "Biosignal Transmission and Visualization Module Abstract Biosignals such as electrocardiogram (ECG), electromyogram (EMG), electroencephalogram (EEG), and photoplethysmography (PPG) provide critical information about physiological activities within the human body. Efficient acquisition, transmission, and visualization of these signals are essential for real time health monitoring, clinical diagnosis, and remote patient care. This project presents the design and implementation of a Biosignal Transmission and Visualization Module that enables real-time acquisition, wireless transmission, and graphical visualization of physiological signals. The proposed system integrates biosignal sensors with a microcontroller-based data acquisition unit capable of capturing analog physiological signals and converting them into digital form using an embedded analog-to-digital converter (ADC). The digitized signals are processed using signal conditioning techniques including filtering, amplification, and noise reduction to ensure reliable signal quality. The processed data is then transmitted wirelessly using communication protocols such as Bluetooth, Wi-Fi, or serial communication to a visualization interface. A software-based visualization platform displays the biosignals in real time using waveform graphs and statistical indicators, enabling healthcare professionals or users to monitor physiological patterns effectively. The system supports continuous monitoring and can be integrated with cloud platforms for remote healthcare applications and long-term data storage. The developed module provides a compact, scalable, and cost-effective solution for biosignal monitoring systems. It can be applied in wearable health devices, telemedicine platforms, medical research, and smart healthcare systems. The proposed framework demonstrates the feasibility of real-time biosignal transmission and visualization for improved patient monitoring and data-driven healthcare management."
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