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。最近的技术进步使影响肌肉和周围神经的疾病可以远程和连续地记录和诊断。通过在分娩前探索子宫的电生理行为,使用磁性学(MMG)进行怀孕期间的健康监测。 In addition, MMG can be used to rehabilitate, for example, traumatic nerve injury, 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 radical new technologies for muscle movement recording, creating a paradigm shift in neuromuscular patients and beyond e.g.人机与扩展现实,游戏和消费电子产品的接口。在该奖学金中创造的发现,研究和新知识将导致一个世界领先的研究小组,该小组将英国将英国置于这个新兴领域的最前沿。 Apremise将创建第一个可穿戴的自旋传感器,用于测量临床环境中的MMG信号。 Epremise将涉及磁传感器,微电子,可穿戴设备,肌肉神经科学和信号处理的根本创新。主要目的是通过基于记录和衡量肌肉活动的旋转术,对受神经肌肉疾病影响的患者产生变革性影响。通过将最先进的理论,计算和实验物理学与先进的生物医学建模和测试相结合,将提出一种范式移动工程技术。尽管与神经肌肉疾病有关的肌肉活动吸引了医疗保健社区的注意力,但诊断的磁记录方法并未通过可靠且可靠的工具系统地应用。 Epremise将标准化MMG传感器的有效利用来检测这种肌肉活性进行临床部署。微型磁性传感器系统提供了用易于使用的可穿戴临床平台代替笨重的实验室仪器的前景。它将将成本(<5英镑),尺寸和噪声底部降低几个数量级。在这里,我们建议使用与ASIC读数接口集成的基于纳米化的自旋旋转传感器。这个新的可穿戴系统具有较小的占地面积,出色的灵敏度,超动噪声和出色的空间分辨率,可以检测到肌肉产生的低pico-tesla(PT)磁场。鉴于我已发表和同行评审的试点研究,我相信我们正处于建模和实验工作的结合阶段。该项目的结果将针对一个新的小型化平台开发用于肌肉测定的新平台,该平台优化了MMG信号和流线技术供临床医生使用的测量。
项目成果
期刊论文数量(0)
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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 - 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
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
Impact of Receiver Thermal Noise and PLL RMS Jitter in Radar Measurements
雷达测量中接收器热噪声和 PLL RMS 抖动的影响
- DOI:
10.1109/tim.2024.3370745 - 发表时间:
2024 - 期刊:
- 影响因子:5.6
- 作者:
Zeeshan Ali;Mostafa Elsayed;Girish Tiwari;Meraj Ahmad;J. Le Kernec;Hadi Heidari;Shalabh Gupta - 通讯作者:
Shalabh Gupta
Towards Highly Linear High Resolution SAR ADCs Using Capacitor Re-configuring Method for the Internet of Things
使用物联网电容器重新配置方法实现高线性高分辨率 SAR ADC
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Hua Fan;Yang Liu;Jingtao Li;Franco Maloberti;Quanyuan Feng;Dagang Li;Daqian Hu;Yuanjun Cen;Hadi Heidari - 通讯作者:
Hadi Heidari
Quantitative Assessment of Extensor Carpi Radialis Muscle Thickness Change Using the Pulse-Echo Method
使用脉冲回波法定量评估桡侧腕伸肌厚度变化
- DOI:
10.1109/icecs58634.2023.10382844 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Priyanka Dhiwa;Meraj Ahmad;Hannah Thomson;J. Windmill;Hadi Heidari;Sandy Cochran - 通讯作者:
Sandy Cochran
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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