Surface EMG-based quantification of inspiratory effort: a quantitative comparison with Pes

被引：0
|
作者：
Jan Graßhoff
Eike Petersen
Franziska Farquharson
Max Kustermann
Hans-Joachim Kabitz
Philipp Rostalski
Stephan Walterspacher
机构：
[1] Universität zu Lübeck,Institute for Electrical Engineering in Medicine
[2] Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering,Medical Clinic II
[3] Klinikum Konstanz,Faculty of Health/School of Medicine
[4] Witten/Herdecke University,undefined
来源：
Critical Care | / 25卷
关键词：
Assisted mechanical ventilation; Inspiratory effort; Monitoring; Esophageal pressure; Surface electromyography;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Surface EMG-based quantification of inspiratory effort: a quantitative comparison with Pes
    Grasshoff, Jan
    Petersen, Eike
    Farquharson, Franziska
    Kustermann, Max
    Kabitz, Hans-Joachim
    Rostalski, Philipp
    Walterspacher, Stephan
    CRITICAL CARE, 2021, 25 (01)
  • [2] Model-Based Estimation of Inspiratory Effort Using Surface EMG
    Grashoff, Jan
    Petersen, Eike
    Walterspacher, Stephan
    Rostalski, Philipp
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2023, 70 (01) : 247 - 258
  • [3] Surface EMG-based Estimation of Breathing Effort for Neurally Adjusted Ventilation Control
    Petersen, Eike
    Grasshoff, Jan
    Eger, Marcus
    Rostalski, Philipp
    IFAC PAPERSONLINE, 2020, 53 (02): : 16323 - 16328
  • [4] Performance Comparison of Classification Methods for Surface EMG-Based Human-Machine Interface
    Chun Yang
    Long, Jinyi
    Hao Wang
    INTERNATIONAL JOURNAL OF GRID AND HIGH PERFORMANCE COMPUTING, 2015, 7 (04) : 47 - 56
  • [5] Enhancing the Security of Pattern Unlock with Surface EMG-Based Biometrics
    Li, Qingqing
    Dong, Penghui
    Zheng, Jun
    APPLIED SCIENCES-BASEL, 2020, 10 (02):
  • [6] Comparison Between Two Control Algorithms for EMG-Based Navigation
    LaBarge, Erin
    Fortunati, Jonathan
    Sullivan, Meaghan
    Bartels, Nathan
    Zhang, Ronald
    Sun, Ying
    2010 IEEE 36TH ANNUAL NORTHEAST BIOENGINEERING CONFERENCE, 2010,
  • [7] An EMG-based Spatio-spectro-temporal Index for Muscle Fatigue Quantification
    Dasanayake, N. P.
    Gopura, R. A. R. C.
    Ranaweera, R. K. P. S.
    Lalitharatne, T. D.
    2023 32ND IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, RO-MAN, 2023, : 263 - 268
  • [8] Analysis of Contraction Effort Level in EMG-Based Gesture Recognition Using Hyperdimensional Computing
    Moin, Ali
    Zhou, Andy
    Benatti, Simone
    Rahimi, Abbas
    Benini, Luca
    Rabaey, Jan M.
    2019 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS 2019), 2019,
  • [9] Evaluation of surface EMG-based recognition algorithms for decoding hand movements
    Abbaspour, Sara
    Linden, Maria
    Gholamhosseini, Hamid
    Naber, Autumn
    Ortiz-Catalan, Max
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2020, 58 (01) : 83 - 100
  • [10] A comparison of EMG-based muscle fatigue assessments during dynamic contractions
    Rogers, Daniel R.
    MacIsaac, Dawn T.
    JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2013, 23 (05) : 1004 - 1011
12345