Normality and stationarity of EMG signals of elbow flexor muscles during ramp and step isometric contractions

Beznoska, Martin; Cincera, M; Arsenault, André; Gravel, Denis

doi:10.1016/s1050-6411(96)00024-7

Cited by 116 publications

(108 citation statements)

References 23 publications

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“…The hypothesis of stationarity seems reasonable given previous reports that aspiration signals resemble "noise" [18] and the prevalent assumption of local stationarity in short duration physiological signals, such as electromyograms [22] and event-related electroencephalograms [23]. Stationarity is a fundamental characteristic of random data [24].…”

Section: Goal Of Notementioning

confidence: 65%

“…In this note, we deploy the reverse arrangements test, a general nonparametric test for weak or wide sense stationarity [24]. A widely used and timehonored procedure, the reverse arrangements test has been recently employed in evaluating the stationarity of physiological [22] and atmospheric signals [36]. The test is also known as the inversion test [36] and originally as the trend test [37].…”

Section: B Stationarity Test: Reverse Arrangements Testmentioning

confidence: 99%

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Investigating the stationarity of paediatric aspiration signals

Chau

Casas

et al. 2005

IEEE Trans. Neural Syst. Rehabil. Eng.

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Section: Goal Of Notementioning

confidence: 65%

Section: B Stationarity Test: Reverse Arrangements Testmentioning

confidence: 99%

Investigating the stationarity of paediatric aspiration signals

Chau

Casas

et al. 2005

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…The RAT is often used to evaluate the weak stationarity of physiological and biomedical signals (Alves and Chau, 2008;Chau et al, 2005;Nhan and Chau, 2009;Harris et al, 1993;Hampson et al, 2005;Bilodeau et al, 1997;Novak et al, 1996).…”

Section: Reverse Arrangements Testmentioning

confidence: 99%

The effect of treadmill walking on the stride interval dynamics of children

Fairley

Sejdić

Chau

2010

Human Movement Science

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The stride interval of typical human gait is correlated over thousands of strides. This statistical persistence diminishes with age, disease, and pace-constrained walking. Considering the widespread use of treadmills in rehabilitation and research, it is important to understand the effect of this speed-constrained locomotor modality on stride interval dynamics. To this end, and given that the dynamics of children have been largely unexplored, this study investigated the impact of treadmill walking, both with and without handrail use, on paediatric stride interval dynamics. An initial stationarity analysis of stride interval time series identified both non-stationary and stationary signals during all walking conditions. Subsequent scaling analysis revealed diminished stride interval persistence during unsupported treadmill walking compared to overground walking. Finally, while the correlation between stride interval dynamics and gross energy expenditure was investigated in an effort to elucidate the clinical meaning of persistence, no simple linear correlation was found.ii DedicationTo my grandmother, whose inspiration I will carry with me always.iii Acknowledgements A sincere thank-you to my supervisor, Dr. Tom Chau, whose patience, support and guidance has allowed me to navigate the world of research. I am continually amazed by your dedication to your students and work, and am grateful for the knowledge and training that you have provided me.To my committee members, Dr. Karl Zabjek and Dr. Brian Maki, thank you for your invaluable feedback and advice.To the members of the PRISM lab, I am truly appreciative of your insights, perspectives and friendship. A special thank-you to Brian Nhan, Jorge Torres, Sarah Power and Stefanie Blain, with whom I shared an office, for your considerable help, thoughtful comments, good humour, and fun. Many thanks also to: Ervin Sejdić, for your expertise and contribution; Ka Lun Tam, for your technical wizardry; and Matthew Chang, for the thought-provoking discussions.

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“…어야 한다는 가정을 만족해야 한다 (Blanco, et al, 1995;Oppenheim and Schafer, 1999 (Sugimoto, et al, 1977;Inbar and Noujaim, 1984;Inbar, et al, 1986;Paiss and Inbar, 1987;Shankar, et al, 1989;Bilodeau, et al, 1997;Beck, et al, 2005a, b;조영 진과 김정룡, 2010). 일반적으로 신호의 안정성이 보장되어 야 주파수 분석결과에 대한 신뢰성을 확보할 수 있다.…”

Section: 정적 상황에서 근전도 분석unclassified

Biomechanical Measuring Techniques for Evaluation of Workload

Kim¹,

Park²,

Cho³

2010

Journal of the Ergonomics Society of Korea

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It is necessary to quantitatively evaluate the workload of workers in order to improve the level of safety and efficiency as well as to prevent workers from musculoskeletal disorders. The purpose of this study is to introduce biomechanical methods that are largely used to quantitatively evaluate workload. The biomechanical methods use kinematics and kinetics to analyze the movement and force of biomechanical body. Motion analysis, joint angle measurement, ground reaction force, mathematical model, and electromyography (EMG) were introduced as a tool or device for biomechanical evaluation. In this study, the special feature of each method was emphasized and important tips for field measurement were summarized. The information and technique disclosed in this summary can be used to evaluate and design the workplace better by effectively control the workload of field workers.

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Normality and stationarity of EMG signals of elbow flexor muscles during ramp and step isometric contractions

Cited by 116 publications

References 23 publications

Investigating the stationarity of paediatric aspiration signals

Investigating the stationarity of paediatric aspiration signals

The effect of treadmill walking on the stride interval dynamics of children

Biomechanical Measuring Techniques for Evaluation of Workload

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