EMG and Muscle Force in Normal Motor Activities

Author(s):  
S. Bouisset
Author(s):  
Terry R. Greene ◽  
Susan E. Houston ◽  
Candace C. Reinsmith ◽  
Edward S. Reed
Keyword(s):  

Author(s):  
Sofnidar ◽  
Hartina ◽  
Kamid ◽  
Khairul Anwar

Prilaku belajar adalah suatu sikap y ang muncul dari diri siswa dalam menanggapi dan meresponi setiap kegiatan belajar mengajar yang terjadi. salah satu wujud dari prilaku adalah motivasi belajar. Menurut teori behavioristik, belajar adalah perubahan tingkah laku sebagai akibat adanya interaksi antara stimulus (rangsangan) dan respon (tanggapan). Stimulus yang diberikan guru dalam pembelajaran tertuang dalam rancangan aktifitas pembelajaran. Aktivitas pembelajaran merupakan kegiatan yang dirancang guru untuk mewujudkan dan atau menciptkan kondisi belajar siswa (stimulus). Pemilihan aktivitas belajar yang sesuai memungkinkan untuk terjadinya efektivitas pedagogis dalam mencapai tujuan pembelajaran, maupun dapat membentuk prilaku positif siswa (respon) dalam belajar. Desain pembelajaran berbasis outdoor-medelling mathematics memuat serangkain aktivitas kegiatan pembelajaran yang berbassis investigasi konteks masalah outdoor (masalah real life) dengan muatan konten materi modeling mathematics. Pada makalah ini akan membahas prilaku belajar dan bagaimana motivasi terbentuk melaui aktifitas kegiatan pebelajaran outdoor-medelling mathematics yang diklasifikasikan menjadi motoractivities mentalactivities, visualactivities, emotionalactivities, motoractivitie.Melalui metode kulitatif deskriptif, dengan mengambil 20 siswa kelas IX-B SMP N 1 Muaro Jambi yang mempunyai gaya belajar visual, auditorial, dan kinestetik. Setelah pelaksanaan pembelajaran, pengambilan data dilakukan melalui angket, dan lembar pengamatan beserta wawancara ke subjek penelitian. Hasil penelitian menunjukan bahwa aktivitas belajar dalam pembelajaran yang dapat memotivasi siswa belajar matematika adalah visualactivities sebesar 74,16%; motoractivities sebesar 96,67%; mentalactivities sebesar 71,66%; dan emotionalactivities sebesar 73,33%. Berdasarkan hasil analisis yang dilakukan aktivitas belajar dalam pembelajaran outdoor-medelling mathematics matematika yang paling dominan dapat memotivasi siswa belajar adalah motoractivities dengan persentasi 96,67% dengan kriteria sangat baik dan sangat memotivasi siswa belajar matematika dalam pembelajaran luar kelas. Indikatornya adalah melakukan percobaan. Kelebihan aktivitas belajar dalam pembelajaran outdoor-medelling mathematics adalah, aktivitas belajar lebih membuat siswa termotivasi untuk belajar matematika. Siswa menjadi lebih aktif dan interaksi dengan teman sesamanya semakin meningkat juga. Adapun kelemahan aktivitas belajar dalam pembelajaran luar kelas adalah sulit untuk siswa terfokus dalam aktivitas belajar yang sedang dilakukan.   Learning behavior is an attitude that arises from students in responding and responding to each teaching and learning activity that occurs. one form of behavior is learning motivation. According to behavioristic theory, learning is a change in behavior as a result of an interaction between stimulus (stimulus) and response (response). The stimulus given by the teacher in learning is contained in the design of learning activities. Learning activities are activities designed by the teacher to realize and or create the conditions for student learning (stimulus). Selection of appropriate learning activities allows for the occurrence of pedagogical effectiveness in achieving learning goals, and can form positive student behavior (response) in learning. Outdoor-based learning mathematics learning design contains a series of learning activities based on the context of outdoor problems (real life problems) with the content of modeling mathematics material. In this paper will discuss learning behavior and how motivation is formed through the activities of learning activities outdoor-modeling mathematics which are classified into mental activities, visual activities, emotional activities, motor activities. Through the descriptive qualitative method, taking 20 students of class IX-B Muaro Jambi Middle School 1 who have visual, auditory, and kinesthetic learning styles. after the implementation of learning, data retrieval was carried out through questionnaires, and observation sheets and interviews to the research subjects. The results showed that learning activities in learning that could motivate students to learn mathematics were visual activities at 74.16%, motor activities at 96.67%, mental activities at 71.66%, and emotional activities at 73.33 %%. Based on the results of the analysis carried out learning activities in mathematics outdoor-modeling mathematics learning the most dominant motivating students to learn is motor activities with a percentage of 96.67% with very good criteria and very motivating students to learn mathematics in learning outside the classroom. The indicator is to experiment. The advantages of learning activities in outdoor-modeling mathematics learning are that learning activities make students more motivated to learn mathematics. Students become more active and interactions with their peers also increase. The weaknesses of learning activities in learning outside the classroom is difficult for students to focus on the learning activities that are being done.


2020 ◽  
Author(s):  
Anurag Sohane ◽  
Ravinder Agarwal

Abstract Various simulation type tools and conventional algorithms are being used to determine knee muscle forces of human during dynamic movement. These all may be good for clinical uses, but have some drawbacks, such as higher computational times, muscle redundancy and less cost-effective solution. Recently, there has been an interest to develop supervised learning-based prediction model for the computationally demanding process. The present research work is used to develop a cost-effective and efficient machine learning (ML) based models to predict knee muscle force for clinical interventions for the given input parameter like height, mass and angle. A dataset of 500 human musculoskeletal, have been trained and tested using four different ML models to predict knee muscle force. This dataset has obtained from anybody modeling software using AnyPyTools, where human musculoskeletal has been utilized to perform squatting movement during inverse dynamic analysis. The result based on the datasets predicts that the random forest ML model outperforms than the other selected models: neural network, generalized linear model, decision tree in terms of mean square error (MSE), coefficient of determination (R2), and Correlation (r). The MSE of predicted vs actual muscle forces obtained from the random forest model for Biceps Femoris, Rectus Femoris, Vastus Medialis, Vastus Lateralis are 19.92, 9.06, 5.97, 5.46, Correlation are 0.94, 0.92, 0.92, 0.94 and R2 are 0.88, 0.84, 0.84 and 0.89 for the test dataset, respectively.


2021 ◽  
pp. 1-11
Author(s):  
Mianfang Ruan ◽  
Qiang Zhang ◽  
Xin Zhang ◽  
Jing Hu ◽  
Xie Wu

BACKGROUND: It remains unclear if plyometric training as a single component could improve landing mechanics that are potentially associated with lower risk of ACL injury in the long term OBJECTIVE: The purpose of this study was to investigate the influence of experience undertaking plyometrics on landing biomechanics in female athletes. METHODS: Non-jumpers with little experience in plyometric training (12 female college swimmers) and jumpers with five years of experience in plyometric training (12 female college long jumpers and high jumpers) were recruited to participate in two testing sessions: an isokinetic muscle force test for the dominant leg at 120∘/s and a 40-cm drop landing test. An independent t test was applied to detect any significant effects between cohorts for selected muscle force, kinematic, kinetic, and electromyography variables. RESULTS: While female jumpers exhibited greater quadriceps eccentric strength (P= 0.013) and hamstring concentric strength (P= 0.023) during isokinetic testing than female swimmers, no significant differences were observed in kinematics, kinetics, and muscle activities during both drop landing and drop jumping. CONCLUSIONS: The results suggest that the female jumpers did not present any training-induced modification in landing mechanics regarding reducing injury risks compared with the swimmers. The current study revealed that plyometric training as a single component may not guarantee the development of low-risk landing mechanics for young female athletes.


2021 ◽  
pp. 1-10
Author(s):  
Elisabet Hammarén ◽  
Lena Kollén

Background: Individuals with myotonic dystrophy type 1 (DM1) are known to stumble and fall, but knowledge is scarce regarding dynamic stability in this disorder. Objective: To describe disease progress regarding muscle force, dynamic stability and patient reported unintentional falls during a ten-year period, in individuals with DM1. Methods: Quantification of isometric muscle force in four leg muscle groups and assessment of Timed 10-meter-walk in maximum speed (T10max), Timed Up&Go (TUG) and Step test (STEP) were performed at three occasions in a DM1 cohort, together with self-reported falls. Results: Thirty-four people (m/f:11/23, age:50.2 + /–9.4) participated. The muscle force loss after ten years was large in the distal ankle muscles. A steeper force decrease was seen in most muscles between year five and ten compared to the former five-year period. Males reported more falls than females, 91%vs 35%had fallen last year. A positive correlation, ρ= 0.633, p <  0.001, was shown between walking time (T10max) and number of falls. Frequent fallers were only seen among those with slower walk (T10max >  10seconds), and fewer steps in the STEP test (STEP≤5 steps). Conclusions: A diminishing leg muscle strength and worse dynamic stability were seen in the group, with a steeper decrease in the latter five years. Weak ankle dorsiflexors, a slower walk and difficulties to lift the forefoot were related to frequent falls.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lise Hobeika ◽  
Matthieu Ghilain ◽  
Loris Schiaratura ◽  
Micheline Lesaffre ◽  
Dominique Huvent-Grelle ◽  
...  

AbstractAlthough music therapy may engender clinical benefits in patients with neurodegenerative disease, the impacts of social and musical factors of such activities on socio-emotional and motor engagements are poorly understood. To address this issue, non-verbal behaviors of 97 patients with or without major cognitive impairment (CI) were assessed when listening to music or a metronome in front of a musician who was present physically (live) or virtually (video). Socio-emotional engagement was quantified as emotional facial expression production and gaze direction. Motor engagement was quantified as overall body motion and the production of rhythmic movements. In both groups, positive facial expressions were more frequent and rhythmic motor activities lasted longer with music than with a metronome, and during a live performance rather than a video performance. Relative to patients without CI, patients with CI moved less with music, expressed fewer emotions, and spent less time looking at the musician in the video condition and in the metronome condition. The relative reductions in motor and socio-emotional engagements in patients with CI might be markers of disease progression. However, the presence of a live partner induces older adults to engage emotionally and physically in musical activities emphasizing the relevance of using live performance as motivational levers during music therapy.


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