Muscle fatigue based evaluation of bicycle design

Balasubramanian, Venkatesh; Mani, Mohan Prasath; Adalarasu, K.

doi:10.1016/j.apergo.2013.04.013

Cited by 34 publications

(25 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results based on both experimental and psychophysical parameters provide corroborative evidence to the findings of Balasubramanian et al [27]. The statistical study, which had been conducted prior to the experimental study, has reported similar results that kitchen workers experience high discomfort at shoulder and low back muscle.…”

Section: Discussionsupporting

confidence: 79%

Assessment of shoulder and low back muscle activity of male kitchen workers using surface electromyography

Subramaniam¹,

Murugesan

Jayaraman

2017

Int J Occup Med Environ Health

View full text Add to dashboard Cite

Objectives: This study aims to assess muscle fatigue for kitchen workers during various tasks in a kitchen. Material and Methods: This study consists of 2 phases: a) surface electromyography (EMG) to determine muscle fatigue of trapezius and erector spinae muscles bilaterally for 12 healthy male volunteers during 30 min of Indian flatbread (chapati) preparation, b) self-administered questionnaire study after 30 min preparation to determine the impact on performance. Results: Surface EMG results show that the right trapezius muscle had significantly higher fatigue during kneading, rolling and roasting tasks. Similarly, right erector spinae muscle showed significantly higher fatigue during rolling and roasting tasks. Conclusions: Both phases of the study conclude that, even though the dynamic postural adjustment may reduce fatigue during the work schedule; the combination of risk factors like the repetitive task, forceful exertion and prolonged standing during working results in a high risk of developing muscle fatigue. Int J Occup Med Environ Health 2018;31(1):81 -90

show abstract

Section: Discussionsupporting

confidence: 79%

Assessment of shoulder and low back muscle activity of male kitchen workers using surface electromyography

Subramaniam¹,

Murugesan

Jayaraman

2017

Int J Occup Med Environ Health

View full text Add to dashboard Cite

show abstract

“…On the other hand, it is indicated from another previous study that a prolonged cycling exercise would cause decrements in whole-body power, muscle-function, and jump-performance measures, implying that the exhaustion due to cycling exercise are related to fatigue in daily function [15]. Moreover, investigations into alternative measures for muscle fatigue as well as muscle activation during cycling were also conducted in previous research [16–18]. We may thus speculate that a system designed based on long-term repetitive exercise, such as the cycling-based movement, may be used as a tool for continuously, fully tracking and assessing fatigue or degeneration of motor functional activities.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Fatigue Monitoring and Analysis System for Lower Extremity Muscles with Cycling Movement

Chen

Liaw

Chan

et al. 2014

Sensors

View full text Add to dashboard Cite

A real-time muscle fatigue monitoring system was developed to quantitatively detect the muscle fatigue of subjects during cycling movement, where a fatigue progression measure (FPM) was built-in. During the cycling movement, the electromyogram (EMG) signals of the vastus lateralis and gastrocnemius muscles in one leg as well as cycling speed are synchronously measured in a real-time fashion. In addition, the heart rate (HR) and the Borg rating of perceived exertion scale value are recorded per minute. Using the EMG signals, the electrical activity and median frequency (MF) are calculated per cycle. Moreover, the updated FPM, based on the percentage of reduced MF counts during cycling movement, is calculated to measure the onset time and the progressive process of muscle fatigue. To demonstrate the performance of our system, five young healthy subjects were recruited. Each subject was asked to maintain a fixed speed of 60 RPM, as best he/she could, under a constant load during the pedaling. When the speed reached 20 RPM or the HR reached the maximal training HR, the experiment was then terminated immediately. The experimental results show that the proposed system may provide an on-line fatigue monitoring and analysis for the lower extremity muscles during cycling movement.

show abstract

“…The sandwich honeycomb PP with glass-carbon fiber composite skin is investigated by using experiment and properties of the specimen as experiment result become input new properties for FEA simulation of the model [6,7]. Optimization of constraint design is conducted for carbon fiber bicycle frame [9].…”

Section: Review Previous Researchmentioning

confidence: 99%

“…Ergonomics is an important factor for customer satisfaction. Low ergonomic of frame design can cause muscle fatigue [9][10][11][12]. The modification is done on the back side of the frame by using the square tube to easy manufacturing and increase passenger load.…”

Section: Trike Design and Finite Element Modelmentioning

confidence: 99%

Finite element analysis of electric bicycle frame geometries

Cahyono¹,

Anwar²,

Diharjo³

et al. 2017

AIP Conference Proceedings

View full text Add to dashboard Cite

The effect of load and thickness variation on stress analysis of monocoque frame of electric city car using FEM AIP Conference Proceedings 1788, 030077 (2017) Abstract. This paper presents a simulation Finite Element Analysis (FEA) model of electric trike frames. The model of electric trike frame is a standard bicycle frame with addition modification on the back side for battery pack component and passenger loads. The electric motor is driven to put in front wheel for easy maintenance. Due to gain maximum safety in the passenger area and easy assembling, the frame is manufactured by circular steel tube in the front side and square steel tube in the back side. FEA simulation has been investigating proper model based on steel tube profile. The profiles is circular and oval steel tube 1.65mm thickness, (1, 1 ½, and 1 ½) inch diameter in front and square steel tube 2 mm thickness, (30x30, 40x40 and 50x50) mm size in the back. The support tube of the electric bicycle frame is similar to the National Standard road bicycle (SNI).The validation of this simulation is using experiment method and adaption method for optimizing iteration time and accuracy. The result of the simulation is a factor of safety. Von misses stress distribution from simulation result is showed the critical are in joining tube under driver of the frame structure. The oval tube is reached safety factor better than the circular tube, and it's had a better performance against the vertical load. The best variable is variable 3 oval tube 56.6x40 mm diagonal size with 1.65 thickness. It maximum passenger load is 700Kg. It can be a recommendation to redesign future frame of the electric bicycle.

show abstract

Muscle fatigue based evaluation of bicycle design

Cited by 34 publications

References 29 publications

Assessment of shoulder and low back muscle activity of male kitchen workers using surface electromyography

Assessment of shoulder and low back muscle activity of male kitchen workers using surface electromyography

A Real-Time Fatigue Monitoring and Analysis System for Lower Extremity Muscles with Cycling Movement

Finite element analysis of electric bicycle frame geometries

Contact Info

Product

Resources

About