Next-Generation AI-Enhanced Spirometer for Home-Care and Remote Health Management

Author(s)	Ms. Shanie J.k, Ms. Thanya T, Ms. Nanthini P, Prof. Dhanees Surya Jenifer K
Country	India
Abstract	This paper introduces a smart spirometer that uses AI to enhance respiratory monitoring, patient safety, and caregiver response. The system combines a portable airflow-measurement device with real-time artificial intelligence algorithms that can detect abnormal breathing patterns. This includes sudden drops in airflow, irregular breathing cycles, and early signs of distress. When it identifies these issues, the device sends a wireless alert to a connected mobile application, which quickly notifies the caregiver. This allows for prompt action for patients who cannot express their symptoms clearly. Unlike traditional spirometers that are meant only for diagnostic testing, this model is designed for at-risk groups, such as the deaf, mute, elderly, and non-responsive individuals. By integrating AI analysis, IoT connectivity, and alert systems, this solution provides a cost-effective option for home care, telehealth, and ongoing remote respiratory monitoring.
Keywords	Smart Spirometer, Artificial Intelligence, Respiratory Monitoring, IoT Healthcare, Abnormal Breathing Detection, Caregiver Alert System, Assistive Medical Device, Remote Health Monitoring
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-02
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.61363
Short DOI	https://doi.org/hbdrhx

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