IoMT-Enabled Smart-Cap-Powered Ultrawideband Brain Implant for Multichannel Epilepsy Monitoring Applications

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Muhammad Zada;Izaz Ali Shah;Abdul Basir;Hyoungsuk Yoo
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引用次数: 0

Abstract

Multichannel neural monitoring systems are crucial in the accurate diagnosis and treatment of epilepsy by continuously recording neural activity, allowing precise identification of epileptic zones. These systems demand an ultrawideband (UWB) antenna with wireless power reception capability to facilitate high-data-rate communication and battery-free operation for the development of compact and long-lasting neural devices. This articel introduces a compact ( $9\times 11\times 0$ .25 mm3) battery-free implantable UWB system with an integrated rectifier for multichannel epilepsy monitoring, wirelessly powered by a novel 2.4 GHz smart cap-based transmitter (Tx) antenna. Extensive simulations and measurements are conducted to analyze the system’s performance. The implantable system exhibits a measured ultrawide bandwidth of 6.8 GHz (1.2–8 GHz) with peak gain values of −16.5, −23, and −24.1 dBi at 2.4, 4.8, and 5.8 GHz, respectively. The proposed wearable smart cap-based Tx antenna efficiently transfers power to the UWB implant system in various scenarios, including lateral and rotational misalignments, achieving a measured transmission coefficient $(|S_{21}|)$ of −20.06 dB at a 15 mm distance while ensuring user comfort and mobility. Moreover, the compact rectifying circuit achieves a maximum conversion efficiency of 78.4% at a low input power of 6 dBm across a 2 k $\Omega $ load. In addition, the safety of the system was validated using a realistic human head model to ensure compliance with the IEEE specific absorption rate limits. The features and performance metrics demonstrate that the proposed UWB implant system, powered by a wearable smart cap, offers a promising solution for safe, continuous, and battery-free multichannel epilepsy monitoring applications.
支持iomt的智能帽供电超宽带脑植入物,用于多通道癫痫监测应用
通过连续记录神经活动,多通道神经监测系统对癫痫的准确诊断和治疗至关重要,从而可以精确识别癫痫区。这些系统需要具有无线电源接收能力的超宽带(UWB)天线,以促进高数据速率通信和无电池操作,从而开发出紧凑且持久的神经设备。本文介绍了一种紧凑型($9\times 11\times 0$ .25 mm3)无电池植入式超宽带系统,该系统具有集成整流器,用于多通道癫痫监测,由新型2.4 GHz基于智能帽的发射机(Tx)天线无线供电。进行了大量的仿真和测量来分析系统的性能。该系统在2.4 GHz、4.8 GHz和5.8 GHz时的峰值增益分别为- 16.5、- 23和- 24.1 dBi,测量到的超宽带带宽为6.8 GHz (1.2-8 GHz)。所提出的基于可穿戴智能帽的Tx天线在各种情况下(包括横向和旋转失调)有效地向UWB植入系统传输功率,在15 mm距离上实现了- 20.06 dB的测量传输系数$(|S_{21}|)$,同时确保了用户的舒适性和移动性。此外,紧凑整流电路在低输入功率为6 dBm、负载为2 k $\Omega $的情况下实现了78.4%的最大转换效率。此外,使用真实的人体头部模型验证了系统的安全性,以确保符合IEEE特定吸收率限制。这些特性和性能指标表明,由可穿戴智能帽供电的UWB植入系统为安全、连续和无电池的多通道癫痫监测应用提供了一个有前途的解决方案。
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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