The rapid evolution of the Internet of Medical Things (IoMT) technology has become a transformative force in modern healthcare, particularly in elderly patient management. The current elderly care system faces significant challenges, including insufficient long-term care resources and poor communication between healthcare providers. To address this limitation, this study introduces a novel Starlink-assisted IOMT-based elderly healthcare model designed to improve remote patient monitoring and communication reliability. This proposal system focused on a monitoring system of key biomedical parameters such as electrocardiogram (ECG), body temperature, heart attack indicators, and a fall detection alert system. Performance is evaluated using the network simulator (NS-3) to assess its effectiveness in remote and underserved regions. Physiological data collected from patients are transmitted through a local communication hub and forwarded over a Low Earth Orbit (LEO) satellite link to a medical center. Based on Quality of Service (QoS) technology that combines Flow Queuing (FQ) with Controlled Delay (CoDel) with Differentiated Services Code Point (DSCP) marking. This approach prioritizes critical health data for faster transmission while allocating lower priority to non-urgent information. This architecture is entirely wireless, allowing continuous monitoring, real-time alerts, and secure data storage for medical analysis. The simulation results demonstrate that the proposed Starlink-enabled IOMT system outperforms existing solutions in terms of throughput, latency, and reliability. The findings highlight Starlink's potential as a robust and high-performance telehealth communication tool. In addition, this study provides a scalable and reproducible framework for future satellite-assisted healthcare systems that prioritize quality of service (QoS) performance and improved elderly patient care.

翻译：医疗物联网（IoMT）技术的快速发展已成为现代医疗保健领域，特别是老年患者管理中的变革性力量。当前老年护理系统面临重大挑战，包括长期护理资源不足以及医疗服务提供者之间沟通不畅。为应对这一局限，本研究提出了一种新型的Starlink辅助、基于IoMT的老年医疗保健模型，旨在提升远程患者监护与通信的可靠性。该提案系统聚焦于关键生物医学参数的监测，包括心电图（ECG）、体温、心脏病发作指标以及跌倒检测警报系统。使用网络模拟器（NS-3）评估其性能，以检验其在偏远和服务不足地区的有效性。从患者处采集的生理数据通过本地通信枢纽传输，并经由低地球轨道（LEO）卫星链路转发至医疗中心。该系统基于服务质量（QoS）技术，该技术结合了流队列（FQ）、受控延迟（CoDel）以及差分服务代码点（DSCP）标记。此方法优先传输关键健康数据以实现更快的传递，同时为非紧急信息分配较低优先级。该架构完全无线化，支持持续监测、实时警报以及用于医疗分析的安全数据存储。仿真结果表明，所提出的支持Starlink的IoMT系统在吞吐量、延迟和可靠性方面均优于现有解决方案。这些发现凸显了Starlink作为稳健且高性能远程医疗通信工具的潜力。此外，本研究为未来卫星辅助医疗系统提供了一个可扩展且可复现的框架，该框架优先考虑服务质量（QoS）性能并致力于改善老年患者护理。