A REAL-TIME FFT ANALYZER FOR MONITORING MUSCLE FATIGUE

被引：1
|
作者：
CASTALDO, R
QUARTO, E
CLEMENTE, F
机构：
[1] NAPLES UNIV,FAC MED & CHIRURG,SCH MED & SURG,CATTEDRA STRUMENTAZ BIOMED,I-80138 NAPLES,ITALY
[2] NAPLES UNIV,FAC ENGN,DEPT ELECTR ENGN BIOMED ELECTR,I-80138 NAPLES,ITALY
来源：
JOURNAL OF BIOMEDICAL ENGINEERING | 1991年 / 13卷 / 06期
关键词：
ELECTROMYOGRAPHY; MUSCULAR FATIGUE; POWER SPECTRUM;
D O I：
10.1016/0141-5425(91)90091-K
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
The TMS 32010 system for a real-time muscle fatigue monitor is described; it is based on mean frequency shift in the electromyographic signal (EMG). The mean frequency of the EMG is obtained, in real time, from its power spectrum, with a 2 Hz resolution. This is made possible by combining novel hardware and software.
引用
下载
收藏
页码：465 / 468
页数：4
相关论文
共 50 条
  • [1] REAL-TIME FFT TO MONITOR MUSCLE FATIGUE
    BASANO, L
    OTTONELLO, P
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1986, 33 (11) : 1049 - 1051
  • [2] Real-time Muscle Fatigue Monitoring Based on Median Frequency of Electromyography Signal
    Ma'as, Moehammad Dzaky Fauzan
    Masitoh
    Azmi, Ahmad Zahi Ulul
    Suprijanto
    2017 5TH INTERNATIONAL CONFERENCE ON INSTRUMENTATION, CONTROL, AND AUTOMATION (ICA), 2017, : 135 - 139
  • [3] Real-time spectrum analyzer based on all phase FFT spectrum analysis
    Lv Wentao
    Shen Chen
    Gui Fan
    Tian Zhongshan
    Jiang Daozhuo
    2013 FOURTH INTERNATIONAL CONFERENCE ON DIGITAL MANUFACTURING AND AUTOMATION (ICDMA), 2013, : 966 - 969
  • [4] A real-time system for monitoring driver fatigue
    Li, Yao-hua
    You, Feng
    Chen, Kang
    Huang, Ling
    Xu, Jian-min
    TRANSPORTATION PLANNING AND TECHNOLOGY, 2016, 39 (08) : 779 - 790
  • [5] An EMG Patch for the Real-Time Monitoring of Muscle-Fatigue Conditions During Exercise
    Liu, Shing-Hong
    Lin, Chuan-Bi
    Chen, Ying
    Chen, Wenxi
    Huang, Tai-Shen
    Hsu, Chi-Yueh
    SENSORS, 2019, 19 (14)
  • [6] Applying EMG Spike and Peak Counting for a Real-Time Muscle Fatigue Monitoring System
    Dayan, Ortal
    Spulber, Irina
    Eftekhar, Amir
    Georgiou, Pantelis
    Bergmann, Jeroen
    McGregor, Alison
    2012 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS): INTELLIGENT BIOMEDICAL ELECTRONICS AND SYSTEM FOR BETTER LIFE AND BETTER ENVIRONMENT, 2012, : 41 - 44
  • [7] REAL-TIME OXIDATION MONITORING WITH A SURFACE-CHARGE ANALYZER
    LIPKIN, LA
    JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 1993, 140 (08) : 2328 - 2332
  • [8] Real-Time Fatigue Monitoring with Computational Cognitive Models
    Blaha, Leslie M.
    Fisher, Christopher R.
    Walsh, Matthew M.
    Veksler, Bella Z.
    Gunzelmann, Glenn
    FOUNDATIONS OF AUGMENTED COGNITION: NEUROERGONOMICS AND OPERATIONAL NEUROSCIENCE, AC 2016, PT I, 2016, 9743 : 299 - 310
  • [9] Real-time nonintrusive monitoring and prediction of driver fatigue
    Ji, Q
    Zhu, ZW
    Lan, PL
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2004, 53 (04) : 1052 - 1068
  • [10] REAL-TIME FATIGUE MONITORING AND EMG GAIT ANALYSIS
    REMES, A
    HANNINEN, O
    ACTA PHYSIOLOGICA SCANDINAVICA, 1991, 143 (01): : A26 - A26
12345