Motion Artifact-Resilient Zone for Implantable Sensors

被引:7
|
作者
Jeong, Chanho [1 ,2 ]
Koirala, Gyan Raj [3 ]
Jung, Yei Hwan [4 ]
Ye, Yeong Sinn [3 ]
Hyun, Jeong Hun [3 ]
Kim, Tae Hee [5 ]
Park, Byeonghak [3 ]
Ok, Jehyung [3 ]
Jung, Youngmee [5 ,6 ]
Kim, Tae-il [3 ]
机构
[1] Sungkyunkwan Univ SKKU, Dept Biomed Engn, Suwon 16419, South Korea
[2] Carnegie Mellon Univ, Dept Mech Engn, Pittsburgh, PA 15213 USA
[3] Sungkyunkwan Univ SKKU, Sch Chem Engn, Suwon 16419, South Korea
[4] Hanyang Univ, Dept Elect Engn, Seoul 04763, South Korea
[5] Korea Inst Sci & Technol KIST, Biomed Res Inst, Ctr Biomat, Seoul 02792, South Korea
[6] Yonsei Univ, YU KIST Inst, Sch Elect & Elect Engn, Seoul 03722, South Korea
基金
新加坡国家研究基金会;
关键词
film sensors; implantable devices; motion artifacts; noise-free; tactile sensors; wearable sensors;
D O I
10.1002/adfm.202206461
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The miniaturization and flexibility of wearable and implantable devices allow humans to carry them directly on or in their bodies, thus enabling these devices to measure biometric signals in real-time anywhere. However, as they are embedded or implanted into an actively moving human interface, motion artifact noise inevitably occurs. Typically, devices are laminated or implanted on body surfaces, but the positions of such devices cannot be designed without any discussion of the noise. Thus, this paper investigates an approach that minimizes the noise to achieve negligible motion artifacts in implantable micro-devices that have a specific angle on the surface of the body, while maintaining the function of sensor. The device with a specific angle successfully detects the target signal, while motion artifacts-such as tension, compression, and bending-disturb the measurement. The pulse signal on a wrist is well measured while the hand is rotating, and artificial skin implanted on a rat can distinguish external pressure from the movement noise. A thermometer sensor that follows the same rule is further examined. Therefore, this approach is expected to be useful in numerous areas including human interface-based medical devices, virtual reality, and health aids to improve quality of life.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Skin-Induced Motion Artifact Removal for Ambulatory Electrocardiography
    He, Zhuobiao
    Min, Hao
    IEEE SENSORS JOURNAL, 2022, 22 (15) : 15033 - 15043
  • [32] Active Contours: An overview with applications to motion artifact cancellation in MRI
    Guidry, DL
    Farag, AA
    PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 20, PTS 1-6: BIOMEDICAL ENGINEERING TOWARDS THE YEAR 2000 AND BEYOND, 1998, 20 : 644 - 647
  • [33] MOTION ARTIFACT SUPPRESSION - A REVIEW OF POST-PROCESSING TECHNIQUES
    HEDLEY, M
    YAN, H
    MAGNETIC RESONANCE IMAGING, 1992, 10 (04) : 627 - 635
  • [34] Active contours: An overview with applications to motion artifact cancellation in MRI
    Guidry, DL
    Farag, AA
    ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI, 1999, : 3425 - 3428
  • [35] A short study to assess the potential of independent component analysis for motion artifact separation in wearable pulse oximeter signals
    Yao, Jianchu
    Warren, Steve
    2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 3585 - 3588
  • [36] A Novel Method for Automatic Identification of Motion Artifact Beats in ECG Recordings
    Yuewen Tu
    Xiuquan Fu
    Dingli Li
    Chao Huang
    Yawei Tang
    Shuming Ye
    Hang Chen
    Annals of Biomedical Engineering, 2012, 40 : 1917 - 1928
  • [37] Signal Quality Assessment of a Novel ECG Electrode for Motion Artifact Reduction
    Halvaei, Hesam
    Sornmo, Leif
    Stridh, Martin
    SENSORS, 2021, 21 (16)
  • [38] A Deep Convolutional Autoencoder for Automatic Motion Artifact Removal in Electrodermal Activity
    Hossain, Md-Billal
    Posada-Quintero, Hugo F.
    Chon, Ki H.
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2022, 69 (12) : 3601 - 3611
  • [39] A Rigid Motion Artifact Reduction Method for CT Based on Blind Deconvolution
    Zhang, Yuan
    Zhang, Liyi
    ALGORITHMS, 2019, 12 (08)
  • [40] Rigid motion artifact reduction in CT using extended difference function
    Zhang, Yuan
    Zhang, Liyi
    Sun, Yunshan
    JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2019, 27 (02) : 273 - 285