Abstract
Wearable and Implantable Medical Devices (WIMDs) and Physiological Closed-loop Control Systems (PCLCS) are crucial elements in the advancing field of the Internet of Medical Things (IoMT). Enhancing the safety and reliability of these devices is of utmost importance as they play a significant role in improving the lives of millions of people every year. Medical devices typically have an alert system that can safeguard patients, facilitate rapid emergency response, and be customized to individual patient needs. However, false alarms are a significant challenge to the alert mechanism system, resulting in adverse outcomes such as alarm fatigue, patient distress, treatment disruptions, and increased healthcare costs. Therefore, reducing false alarms in medical devices is crucial to promoting improved patient care. In this study, we investigate the security vulnerabilities posed by WIMDs and PCLCS and the problem of false alarms in closed-loop medical control systems. We propose an implementation-level redundancy technique that can mitigate false alarms in real-time. Our approach, FAMID, utilizes a cloud-based control algorithm implementation capable of accurately detecting and mitigating false alarms. We validate the effectiveness of our proposed approach by conducting experiments on a blood glucose dataset. With our proposed technique, all the false alarms were detected and mitigated so that the device didn’t trigger any false alarms.
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Mahmud, S., Keller, M., Ahmed, S., Karam, R. (2024). FAMID: False Alarms Mitigation in IoMT Devices. In: Puthal, D., Mohanty, S., Choi, BY. (eds) Internet of Things. Advances in Information and Communication Technology. IFIPIoT 2023. IFIP Advances in Information and Communication Technology, vol 683. Springer, Cham. https://doi.org/10.1007/978-3-031-45878-1_14
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