Measurement of muscle contraction timing for prosthesis control: a comparison between electromyography and force-myography

被引:19
|
作者
Esposito, Daniele [1 ]
Gargiulo, Gaetano Dario [2 ]
Parajuli, Nawadita [2 ]
Cesarelli, Giuseppe [3 ]
Andreozzi, Emilio [1 ]
Bifulco, Paolo [1 ]
机构
[1] Univ Naples Federico II, Polytech & Basic Sci Sch, Dept Elect Engn & Informat Technol, Naples, Italy
[2] Western Sydney Univ, Sch Comp Engn & Math, Penrith, NSW, Australia
[3] Univ Naples Federico II, Dept Chem Mat & Prod Engn, Naples, Italy
关键词
Electromyography (EMG); active prosthesis control; muscle contraction monitoring; Force Sensitive Resistor (FSR) sensor; FSR vs EMG comparison; HUMAN SKELETAL-MUSCLE; ELECTROMECHANICAL DELAY; EMG;
D O I
10.1109/memea49120.2020.9137313
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Active hand prostheses are usually controlled by electromyography (EMG) signals acquired from few muscles available in the residual limb. In general, it is necessary to estimate the envelope of the EMG in real-time to implement the control of the prosthesis. Recently, sensors based on Force Sensitive Resistor (FSR) proved to be a valid alternative to monitor muscle contraction. However, FSR-based sensors measure the mechanical phenomena related to muscle contraction rather than those electrical. The aim of this study is to test the difference between the EMG and force signal in controlling a prosthetic hand. Particular emphasis has been placed on verify the prosthesis activation speed and their application to fast grabbing hand prosthesis as the "Federica" hand. Indeed, there is an intrinsic electro-mechanical delay during muscle contraction, since the electrical activation of muscle fibres always precedes their mechanical contraction. However, the EMG signal needs to be processed to control prosthesis and such filtering unavoidably causes a delay. On the contrary the force signal doesn't need any processing. Both EMG and force signals were simultaneously recorded from the flexor carpi ulnaris muscle, while subject performed wrist flexions. The raw EMG signals were rectified and low-pass filtered to extract their envelopes. Different widespread operators were used: Moving Average, Root Mean Square, Butterworth low-pass; the cut-off frequency was set to 5 Hz. Afterward, a classic double threshold method was used to compute the muscle contraction onsets (i.e. the signal should exceed a threshold level for a certain time period). Results showed that the lag introduced by the low-pass filtering of the rectified EMG, generates delays greater than those associated with the force sensor. This analysis confirms the possibility of using force sensors as a convenient alternative to EMG signals in the control of prostheses.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Comparison of Antagonist Muscle Activity During Walking Between Total Knee Replacement and Control Subjects Using Unnormalized Electromyography
    Lundberg, Hannah J.
    Rojas, Idubijes L.
    Foucher, Kharma C.
    Wimmer, Markus A.
    JOURNAL OF ARTHROPLASTY, 2016, 31 (06): : 1331 - 1339
  • [32] Comparison between magnetic resonance imaging and electrical impedance myography for evaluating lumbar skeletal muscle composition
    Domenico Albano
    Salvatore Gitto
    Jacopo Vitale
    Susan Bernareggi
    Alberto Aliprandi
    Luca Maria Sconfienza
    Carmelo Messina
    BMC Musculoskeletal Disorders, 23
  • [33] Comparison between magnetic resonance imaging and electrical impedance myography for evaluating lumbar skeletal muscle composition
    Albano, Domenico
    Gitto, Salvatore
    Vitale, Jacopo
    Bernareggi, Susan
    Aliprandi, Alberto
    Sconfienza, Luca Maria
    Messina, Carmelo
    BMC MUSCULOSKELETAL DISORDERS, 2022, 23 (01)
  • [34] THE RELATIONSHIP BETWEEN OCCLUSAL FORCE AND ELECTROMYOGRAPHY AT DIFFERENT MASTICATORY MUSCLE LENGTHS IN RHESUS-MONKEYS
    DECHOW, PC
    AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY, 1987, 72 (02) : 193 - 193
  • [35] Scapulothoracic latent muscle reaction timing comparison between trained overhead throwers and untrained control subjects
    Brindle, T. J.
    Nyland, J. A.
    Nitz, A. J.
    Shapiro, R.
    SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS, 2007, 17 (03) : 252 - 259
  • [36] Investigation of the Relationship Between Stimulus Parameters and a Human Muscle Contraction Force During Stimulation of the Gastrocnemius Muscle
    Kaczmarek, Piotr
    Huber, Juliusz
    Lisinski, Przemyslaw
    Witkowska, Alicja
    Kasinski, Andrzej
    ARTIFICIAL ORGANS, 2010, 34 (02) : 126 - 135
  • [37] Comparison of excitation-contraction coupling between Drosophila and vertebrate muscle
    Juracic, Emma Sara
    JOURNAL OF PHYSIOLOGY-LONDON, 2022, 600 (07): : 1579 - 1580
  • [38] Measurement of Hyolaryngeal Muscle Activation Using Surface Electromyography for Comparison of Two Rehabilitative Dysphagia Exercises
    Watts, Christopher R.
    ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 2013, 94 (12): : 2542 - 2548
  • [39] Using a Stretch Sensor to Evaluate Muscle Contraction Timing During a Neuromuscular Control Screening Activity
    Linderman, Shannon E.
    Scarborough, Donna Moxley
    Day, William
    Wrafter, Daniel
    Berkson, Eric M.
    MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2019, 51 (06): : 149 - 149
  • [40] Relationship between ultrasonography and electromyography measurement of abdominal muscles when activated with and without pelvis floor muscles contraction
    Tahan, N.
    Arab, A. M.
    Arzani, P.
    Rahimi, F.
    MINERVA MEDICA, 2013, 104 (06) : 625 - 630