SUPer-REsolution non-invasive Muscle measurements with miniaturised magnetIc SEnsors (SUPREMISE)
使用微型磁性传感器 (SUPREMISE) 进行超分辨率非侵入性肌肉测量
基本信息
- 批准号:EP/X031950/1
- 负责人:
- 金额:$ 224.36万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Fellowship
- 财政年份:2024
- 资助国家:英国
- 起止时间:2024 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The assessment of muscle activity has become an essential indicator in medical diagnosis, motor rehabilitation, health monitoring, and neuroprosthetic/robotic control. Recent technological advances allow diseases that affect muscles and peripheral nerves to be recorded and diagnosed remotely and continuously. Motivated by exploring the electrophysiological behaviour of the uterus before childbirth, magnetomyography (MMG) was used for health monitoring during pregnancy. In addition, MMG can be used to rehabilitate, for example, traumatic nerve injuries, spinal cord lesions, and entrapment syndrome.SUPREMISE is an ambitious, speculative, interdisciplinary, and creative fellowship programme of research that has the potential to address unmet clinical, leading to radically new technologies for muscle movement recording, creating a paradigm shift in neuromuscular patients and beyond e.g. human-machine interfacing for extended reality, gaming, and consumer electronics. The discoveries, research and new knowledge created within this fellowship will lead to a world-leading research group that will position the UK at the forefront of this emergent field. SUPREMISE will create the first wearable spintronic sensor for measuring MMG signals in the clinical setting. SUPREMISE will involve radical innovations in magnetic sensors, microelectronics, wearable devices, muscle neuroscience, and signal processing. A principal aim is to make a transformative impact on the lives of patients affected by neuromuscular diseases by developing novel sensing diagnosis wearables based on spintronics that record and measure muscle activity. A paradigm-shifting engineering technology will be proposed by interfacing cutting-edge theoretical, computational, and experimental physics with advanced biomedical modelling and testing. While muscle activity which is linked to neuromuscular diseases, has captured the attention of the healthcare community, the magnetic recording approach to diagnosis has not been systematically applied through a robust and reliable tool. SUPREMISE will standardize the efficient utilization of the MMG sensor to detect such muscle activity for clinical deployment. Miniaturizing magnetic sensing systems offer the prospect of replacing bulky laboratory instruments with easy-to-use wearable clinical platforms. It would decrease the cost (< £5), size, and noise floor by several orders of magnitude. Here, we propose a novel solution using nanofabricated spintronic TMR-based sensors integrated with the ASIC readout interface. This new wearable system with a small footprint, excellent sensitivity, ultralow noise, and excellent spatial resolution can detect low pico-Tesla (pT) magnetic fields generated by the muscle. Given my published and peer-reviewed pilot research, I believe that we are at the stage where a combination of modelling and experimental work will accelerate progress. The project's results will target the development of a new miniaturized platform for muscle assays that refines the measurement of the MMG signals and streamlines techniques for use by clinicians.
肌肉活动的评估已成为医疗诊断、运动康复、健康监测和神经假体/机器人控制的重要指标,通过探索肌肉和周围神经的疾病可以被远程记录和诊断。肌磁图(MMG)用于产前子宫的电生理行为监测,此外,MMG还可用于康复,例如创伤性神经损伤、脊髓损伤等。 SUPREMISE 是一项雄心勃勃、投机性、跨学科和创造性的研究计划,有可能解决未满足的临床问题,带来全新的肌肉运动记录技术,在神经肌肉患者和人机领域创造范式转变。该奖学金的发现、研究和新知识将催生一个世界领先的研究小组,使英国处于这一新兴领域的前沿。 SUPREMISE 将创建首款用于在临床环境中测量 MMG 信号的可穿戴自旋电子传感器,该传感器将涉及磁传感器、微电子学、可穿戴设备、肌肉神经科学和信号处理方面的彻底创新,其主要目标是对人们的生活产生变革性的影响。通过开发基于自旋电子学的新型传感诊断可穿戴设备来记录和测量肌肉活动,通过将尖端理论、计算和实验物理学与先进的生物医学相结合,可以为受神经肌肉疾病影响的患者提供一种范式转换的工程技术。虽然与神经肌肉疾病相关的肌肉活动已引起医疗保健界的关注,但磁记录诊断方法尚未通过强大而可靠的工具得到系统应用,从而标准化 MMG 的有效利用。小型化磁传感系统有望用易于使用的可穿戴临床平台取代笨重的实验室仪器,从而将成本(< 5 英镑)、尺寸和本底噪声降低数倍。这里,我们提出了一种新颖的解决方案,使用基于纳米制造的自旋电子 TMR 传感器,并与 ASIC 读出接口集成。这种新型可穿戴系统具有占地面积小、灵敏度出色、超低噪声和出色的空间分辨率,可以检测产生的低皮特斯拉 (pT) 磁场。鉴于我已发表并经过同行评审的试点研究,我相信我们正处于建模和实验工作相结合的阶段,该项目的结果将致力于开发一个新的小型化平台。肌肉检测可改进 MMG 信号的测量并简化大师使用的技术。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Hadi Heidari其他文献
Cholesteric Liquid Crystal Based Reconfigurable Optical Combiner for Head-Mounted Display Application
用于头戴式显示器应用的基于胆甾型液晶的可重构光学组合器
- DOI:
10.1109/vrw62533.2024.00158 - 发表时间:
2024-03-16 - 期刊:
- 影响因子:0
- 作者:
Yuanjie Xia;Haobo Li;Marija Vaškevičiūte;Daniele Faccio;A. Karimullah;Hadi Heidari;R. Ghannam - 通讯作者:
R. Ghannam
Hemozoin in malaria eradication—from material science, technology to field test
疟疾在根除疟疾中的应用——从材料科学、技术到现场测试
- DOI:
10.1038/s41427-023-00516-6 - 发表时间:
2023-12-22 - 期刊:
- 影响因子:9.7
- 作者:
Ashutosh Rathi;Z. Chowdhry;An;Patel;Siming Zuo;Thulya Chakkumpulakkal Puthan Veettil;John A. Adegoke;Hadi Heidari;Bayden R. Wood;V. Bhallamudi;Weng Kung Peng - 通讯作者:
Weng Kung Peng
Characterization of a Compact Wideband Microwave Metasurface Lens for Cryogenic Applications
用于低温应用的紧凑型宽带微波超表面透镜的表征
- DOI:
10.1109/arftg57476.2023.10279542 - 发表时间:
2023-06-16 - 期刊:
- 影响因子:0
- 作者:
Ali Al;Mingyan Zhong;Q. Al;Yunan Jiang;Michael E. Farage;J. Kazim;Muhammad Zulfiqar Ali;Fatemeh Nikbakhtnasrabadi;Megan Powell;Prince Khatri;M. Stanley;Aless;ro Rossi;ro;Hadi Heidari;M. Imran;Q. Abbasi;Nick M. Ridler;Martin Weides;Chong Li - 通讯作者:
Chong Li
Modelling and Fabrication of Wide Temperature Range Al0.24Ga0.76AsGaAs Hall Magnetic Sensors
宽温度范围 Al0.24Ga0.76AsGaAs 霍尔磁传感器的建模和制造
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:5.1
- 作者:
Hua Fan;Huichao Yue;Jiangmin Mao;Ting Peng;Siming Zuo;Quanyuan Feng;Qi Wei;Hadi Heidari - 通讯作者:
Hadi Heidari
Rotating neurons for all-analog implementation of cyclic reservoir computing
用于循环存储计算的全模拟实现的旋转神经元
- DOI:
10.1038/s41467-022-29260-1 - 发表时间:
2022 - 期刊:
- 影响因子:16.6
- 作者:
Xiangpeng Liang;Yanan Zhong;Jianshi Tang;Zhengwu Liu;Peng Yao;Keyang Sun;Qingtian Zhang;Bin Gao;Hadi Heidari;He Qian;Huaqiang Wu - 通讯作者:
Huaqiang Wu
Hadi Heidari的其他文献
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{{ truncateString('Hadi Heidari', 18)}}的其他基金
Intelligent Breast Cancer DiagnOsis and MonItoring Therapeutic Response Training Network (CanDoIt)
智能乳腺癌诊断和监测治疗反应训练网络(CanDoIt)
- 批准号:
EP/Y03693X/1 - 财政年份:2024
- 资助金额:
$ 224.36万 - 项目类别:
Research Grant
SNOW: Wearable Nano-Opto-electro-mechanic Systems
SNOW:可穿戴纳米光电机械系统
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EP/X034690/1 - 财政年份:2023
- 资助金额:
$ 224.36万 - 项目类别:
Research Grant
Dielectrophoretic roll system for high performance electronics using contactless selective assembly of nanostructures on large areas
用于高性能电子产品的介电泳辊系统,采用大面积非接触式选择性组装纳米结构
- 批准号:
EP/W025752/1 - 财政年份:2023
- 资助金额:
$ 224.36万 - 项目类别:
Research Grant
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