MAGNetic sensing microsystem for InjectABLE magnetomyography

用于可注射肌磁描记术的磁传感微系统

• 批准号: EP/X024989/1
• 负责人: Shahid Malik
• 金额: $ 24.26万
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX024989%2F1
• 关键词: MAGNetic; sensing; microsystem; InjectABLE; magnetomyography

Despite several decades of research, the quest for an intuitive and physiologically appropriate human-machine interface (HMI) for the control of dexterous prostheses is far from being completed. The focus of the researchers around the world so far is on use of "Electric field" generated by the skeleton muscles for HMI. Recently, focus of the research is shifted toward measurement of "Magnetic field" generated by the ionic current flowing in muscle fiber - called as Magnetomyogram (MMG). The MMG has the potential to provide additional information about the muscle contraction with high spatial resolution since the magnetic field is not affected by the volume conductive property of tissues. The current sensing systems for MMG recording suffers from poor SNR and highly affected by the earth magnetic field and background noises in the surrounding environment. To address this, this project explores the development of a robust and highly sensitive sensing microsystem for MMG recording using magnetic sensors. It will develop a signal conditioning unit with background calibration and auto-programmable sensitivity to effectively compensate the effects of undesirable magnetic field. In addition, a proof-of-concept prototype will be demonstrated for MMG recording with a sub-millimetric cross-section suitable for injecting at the surface of the muscles using a catheter. The project is extremely timely because the development of HMI is an emerging field with very promising expectations in the future.

尽管进行了数十年的研究，但对用于控制灵巧假肢的直观且符合生理学的人机界面（HMI）的探索还远未完成。迄今为止，世界各地研究人员的重点是利用骨骼肌肉产生的“电场”进行HMI。最近，研究重点转向测量肌肉纤维中流动的离子电流产生的“磁场”——称为肌磁图（MMG）。由于磁场不受组织体积传导特性的影响，MMG 有可能以高空间分辨率提供有关肌肉收缩的附加信息。 MMG记录的电流传感系统信噪比较差，并且受地球磁场和周围环境背景噪声的影响很大。为了解决这个问题，该项目探索开发一种强大且高灵敏度的传感微系统，用于使用磁传感器进行 MMG 记录。它将开发一种具有背景校准和自动编程灵敏度的信号调节单元，以有效补偿不良磁场的影响。此外，还将演示用于 MMG 记录的概念验证原型，其亚毫米横截面适合使用导管在肌肉表面注射。该项目非常及时，因为HMI的发展是一个新兴领域，未来前景非常广阔。