Motion artifact variability in biomagnetic wearable devices

被引:0
|
作者
Arekhloo, Negin Ghahremani [1 ,2 ]
Wang, Huxi [1 ,2 ]
Parvizi, Hossein [2 ]
Tanwear, Asfand [1 ]
Zuo, Siming [1 ]
McKinlay, Michael [2 ]
Nunez, Carlos Garcia [2 ]
Nazarpour, Kianoush [1 ,3 ]
Heidari, Hadi [1 ,2 ]
机构
[1] Neuranics Ltd, Glasgow, Scotland
[2] Univ Glasgow, James Watt Sch Engn, Microelect Lab, Glasgow City, Scotland
[3] Univ Edinburgh, Sch Informat, Edinburgh, Scotland
来源
基金
英国工程与自然科学研究理事会;
关键词
biomagnetic measurements; motion artifacts; wearable sensors; gradient background field; homogeneous background field; SIGNAL; ECG;
D O I
10.3389/fmedt.2024.1457535
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Motion artifacts can be a significant noise source in biomagnetic measurements when magnetic sensors are not separated from the signal source. In ambient environments, motion artifacts can be up to ten times stronger than the desired signals, varying with environmental conditions. This study evaluates the variability of these artifacts and the effectiveness of a gradiometer in reducing them in such settings. To achieve these objectives, we first measured the single channel output in varying magnetic field conditions to observe the effect of homogeneous and gradient background fields. Our analysis revealed that the variability in motion artifact within an ambient environment is primarily influenced by the gradient magnetic field rather than the homogeneous one. Subsequently, we configured a gradiometer in parallel and vertical alignment with the direction of vibration (X-axis). Our findings indicated that in a gradient background magnetic field ranging from 1 nT/mm to 10 nT/mm, the single-channel sensor output exhibited a change of 164.97 pT per mm unit increase, while the gradiometer output showed a change of only 0.75 pT/mm within the same range. Upon repositioning the gradiometer vertically (Y direction), perpendicular to the direction of vibration, the single-channel output slope increased to 196.85 pT, whereas the gradiometer output only increased by 1.06 pT/mm for the same range. Our findings highlight the influence of ambient environments on motion artifacts and demonstrate the potential of gradiometers to mitigate these effects. In the future, we plan to record biomagnetic signals both inside and outside the shielded room to compare the efficacy of different gradiometer designs under varying environmental conditions.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] A new wristband wearable sensor using adaptive reduction filter to reduce motion artifact
    Wei, Pengfei
    Guo, Ruiwen
    Zhang, Jingmeng
    Zhang, Y. T.
    2008 INTERNATIONAL SPECIAL TOPIC CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS IN BIOMEDICINE, VOLS 1 AND 2, 2008, : 426 - +
  • [32] Development of a wearable health monitoring device with motion artifact reduced algorithm (ICCAS 2007)
    Han, Hyonyoung
    Lee, Yunjoo
    Kim, Jung
    2007 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-6, 2007, : 477 - 480
  • [33] Motion Artifact Identification and Removal From Wearable Reflectance Photoplethysmography Using Piezoelectric Transducer
    Lee, Hooscok
    Chung, Heewon
    Kim, Jong-Woong
    Lee, Jinseok
    IEEE SENSORS JOURNAL, 2019, 19 (10) : 3861 - 3870
  • [34] Low variance adaptive filter for cancelling motion artifact in wearable photoplethysmogram sensor signals
    Wood, Levi B.
    Asada, H. Harry
    2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 652 - 655
  • [35] Adaptive Motion Artifact Reduction in Wearable ECG Measurements Using Impedance Pneumography Signal
    An, Xiang
    Liu, Yanzhong
    Zhao, Yixin
    Lu, Sichao
    Stylios, George K.
    Liu, Qiang
    SENSORS, 2022, 22 (15)
  • [36] Comparative Evaluation of Susceptibility to Motion Artifact in Different Wearable Systems for Monitoring Respiratory Rate
    Lanata, Antonio
    Scilingo, Enzo Pasquale
    Nardini, Elena
    Loriga, Giannicola
    Paradiso, Rita
    De-Rossi, Danilo
    IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2010, 14 (02): : 378 - 386
  • [37] Motion Generation of Passive Slider Multiloop Wearable Hand Devices
    Tan, Guan Rong
    Robson, Nina Patarinsky
    Soh, Gim Song
    JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME, 2017, 9 (04):
  • [38] On the design of ergonomic wearable robotic devices for motion assistance and rehabilitation
    Chiri, Azzurra
    Cempini, Marco
    De Rossi, Stefano Marco Maria
    Lenzi, Tommaso
    Giovacchini, Francesco
    Vitiello, Nicola
    Carrozza, Maria Chiara
    2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 6124 - 6127
  • [39] Application of motion capture technology based on wearable motion sensor devices in dance body motion recognition
    Qianwen, Li
    Measurement: Sensors, 2024, 32
  • [40] Reference signal less Fourier analysis based motion artifact removal algorithm for wearable photoplethysmography devices to estimate heart rate during physical exercises
    Pankaj
    Kumar, Ashish
    Komaragiri, Rama
    Kumar, Manjeet
    COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 141