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@article{162586,
        author = {P. Divya Jenifer and Akshaya and Esther Joseph},
        title = {Implementation of Body Movements Detection for Coma Patients},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {10},
        pages = {512-516},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162586},
        abstract = {Coma is a profound state of unconsciousness where an individual is alive but unable to respond to environmental stimuli. By employing an array of sensors including eye blink, accelerometer, pulse, temperature, and SpO2 sensors the system aims to detect and analyse subtle body movements in coma patients, providing valuable insights into their physiological conditions. Through real-time monitoring, the WSN (python) facilitates early detection of potential issues, enhancing patient care and enabling timely medical interventions. The integration of diverse sensors ensures comprehensive data collection, contributing to a holistic understanding of the patient's state. Our innovative approach combines multiple sensor inputs to create a robust solution for efficient and reliable coma patient monitoring.},
        keywords = {Environmental stimuli, Accelerometer, WSN},
        month = {},
        }