Joint Torque Evaluation of Lower Limbs in Bicycle Pedaling

Similar documents
+ t1 t2 moment-time curves

Personal Bicycle Fitting Report Rider Information

Characteristics of ball impact on curve shot in soccer

Biomechanical Comparison of Two Different Kicks in Soccer

Available online at Prediction of energy efficient pedal forces in cycling using musculoskeletal simulation models

JOHN SHORTT :14. Personal Bicycle Fitting Report RIDER SITE BIKE FITTER SUMMARY OF SESSION. John Shortt Age: 57 Male

An investigation of kinematic and kinetic variables for the description of prosthetic gait using the ENOCH system

by Michael Young Human Performance Consulting

Biomechanics Sample Problems

Dynamic analysis and motion measurement of ski turns using inertial and force sensors

COMPARISON OF BIOMECHANICAL DATA OF A SPRINT CYCLIST IN THE VELODROME AND IN THE LABORATORY

Aerodynamic study of a cyclist s moving legs using an innovative approach

SPRINTING CHARACTERISTICS OF WOMEN S 100 METER FINALS AT THE IAAF WORLD CHAMPIONSHOPS DAEGU 2011

Friction properties of the face of a hand-held tennis racket

Current issues regarding induced acceleration analysis of walking using the integration method to decompose the GRF

Ball impact dynamics of knuckling shot in soccer

EXSC 408L Fall '03 Problem Set #2 Linear Motion. Linear Motion

Predictive Dynamic Simulation of Seated Start-Up Cycling Using Olympic Cyclist and Bicycle Models


Analysis of Gait Characteristics Changes in Normal Walking and Fast Walking Of the Elderly People

DIFFERENCE BETWEEN TAEKWONDO ROUNDHOUSE KICK EXECUTED BY THE FRONT AND BACK LEG - A BIOMECHANICAL STUDY

Impact Points and Their Effect on Trajectory in Soccer

RIDER INFO SITE INFO

KEVIN BATCHELOR :01 SITE FITTER

Qualitative Analysis of Jumping Standing Long Jump Goals Note: Standing Long Jump

INTERACTION OF STEP LENGTH AND STEP RATE DURING SPRINT RUNNING

Know your movement. Enhance your performance through biomechanics with Q RINGS & 2INpower

Investigation of Bio-Kinematic Elements of Three Point Shoot in Basketball

Dynamic Warm up. the age of the athlete current physical condition and prior exercise experience

Treadle Pump Exercise:

Biomechanics and Models of Locomotion

Development of a Simulation Model for Swimming with Diving Fins

KINEMATIC ANALYSIS OF SHOT PUT IN ELITE ATHLETES A CASE STUDY

PROPER PITCHING MECHANICS

Available online at ScienceDirect. Procedia Engineering 112 (2015 ) 40 45

-Elastic strain energy (duty factor decreases at higher speeds). Higher forces act on feet. More tendon stretch. More energy stored in tendon.

A Biomechanical Approach to Javelin. Blake Vajgrt. Concordia University. December 5 th, 2012

Analysis of Backward Falls Caused by Accelerated Floor Movements Using a Dummy

Myths and Science in Cycling

07/08/2017. Goalkeepers (GK) in soccer. Goal kicking of soccer? Previous study. The goal kicking of professional GK. Introduction

ZMP Trajectory Generation for Reduced Trunk Motions of Biped Robots

Serve the only stroke in which the player has full control over its outcome. Bahamonde (2000) The higher the velocity, the smaller the margin of

HPA Power Transmission. Everardo Uribe

Influence of Body Kinematics on Tennis Serve

Kinematic Differences between Set- and Jump-Shot Motions in Basketball

GROUND REACTION FORCE DOMINANT VERSUS NON-DOMINANT SINGLE LEG STEP OFF

Biomechanical Analysis of Body Movement During Skiing Over Bumps

- a set of known masses, - four weight hangers, - tape - a fulcrum upon which the meter stick can be mounted and pivoted - string - stopwatch

The Block Start and Accerlartion. Loren Seagrave Director of Track & Field and Cross Country Director of Speed and Movement

Proposed Paralympic Classification System for Va a Information for National federations and National Paralympic Committees

CHAPTER 10: LINEAR KINEMATICS OF HUMAN MOVEMENT

Biomechanical analysis of the medalists in the 10,000 metres at the 2007 World Championships in Athletics

Draw a graph of speed against time on the grid provided.

Optimization of an off-road bicycle with four-bar linkage rear suspension

ITF Coaches Education Programme Coaching High Performance Players Course Power and the Tennis Serve.

video Purpose Pathological Gait Objectives: Primary, Secondary and Compensatory Gait Deviations in CP AACPDM IC #3 1

Coaching the Hurdles

A Novel Gear-shifting Strategy Used on Smart Bicycles

THE ANKLE-HIP TRANSVERSE PLANE COUPLING DURING THE STANCE PHASE OF NORMAL WALKING

Biomechanics analysis of human walking with load carriage

Techniques Used in the Triple Jump

1. A tendency to roll or heel when turning (a known and typically constant disturbance) 2. Motion induced by surface waves of certain frequencies.

REPORT DOCUMENTATION PAGE

Comparison of Active Drag Using the MRT-Method and the MAD-System in Front Crawl Swimming

The Kinematics of Forearm Passing in Low Skilled and High Skilled Volleyball Players

MANUAL POSITION SIMULATOR

BIOMECHANICAL MOVEMENT

Keywords Amputation, electromyography, kinematics of cycling, leg asymmetry, motion capture, transtibial prosthesis.

Mechanical systems and control: investigation

Colin Jackson's Hurdle Clearance Technique

*Author for Correspondence

Toward a human-like biped robot with compliant legs

Riding From The Snow Up 2/10/02. Riding From the Snow Up. Ron LeMaster 2/10/02. The Text Book. Ron LeMaster 2002 All rights reserved 1

Quantitative Properties of Gases. 1. Amount (mass or moles) 2. Volume 3. Pressure 4. Temperature

The Starting Point. Prosthetic Alignment in the Transtibial Amputee. Outline. COM Motion in the Coronal Plane

Javelin Throwing Technique and Biomechanics

GCD Variables. Steps and Strides. Walking Speed. Cadence. Stride Length

Gait Analysis of Wittenberg s Women s Basketball Team: The Relationship between Shoulder Movement and Injuries

A QUALITATIVE ANALYSIS OF THE HIGH RACQUET POSITION BACKHAND DRIVE OF AN ELITE RACQUETBALL PLAYER

Putting Report Details: Key and Diagrams: This section provides a visual diagram of the. information is saved in the client s database

Simulation analysis of the influence of breathing on the performance in breaststroke

Walking Simulator Mechanism

ABCA Research Committee

Using GPOPS-II to optimize sum of squared torques of a double pendulum as a prosthesis leg. Abstract

The in#uence of pedaling rate on bilateral asymmetry in cycling

The Examination of Upper Limb Ambidexterity in Wrestling Snap Down Technique

Coaching the Triple Jump Boo Schexnayder

superior in performance in the 100 m dash. If these

HPW Biomechanics

The Influence of Load Carrying Modes on Gait variables of Healthy Indian Women

Steffen Willwacher, Katina Fischer, Gert Peter Brüggemann Institute of Biomechanics and Orthopaedics, German Sport University, Cologne, Germany

A COMPARISON OF SELECTED BIOMECHANICAL PARAMETERS OF FRONT ROW SPIKE BETWEEN SHORT SET AND HIGH SET BALL

In memory of Dr. Kevin P. Granata, my graduate advisor, who was killed protecting others on the morning of April 16, 2007.

The table below shows how the thinking distance and braking distance vary with speed. Thinking distance in m

Study of Dynamic Biped Locomotion on Rugged Terrain - Derivation and Application of the Linear Inverted Pendulum Mode -

SHUFFLE TURN OF HUMANOID ROBOT SIMULATION BASED ON EMG MEASUREMENT

Analysis of Skip Motion as a Recovery Strategy after an Induced Trip

Positive running posture sums up the right technique for top speed

How Do You Swing? You should be working with new lab partners starting with this lab.

Toward a Human-like Biped Robot with Compliant Legs

Transcription:

11th conference of the International Sports Engineering Association, ISEA 216 Delft University of Technology; July 12 th Joint Torque Evaluation of Lower Limbs in Bicycle Pedaling Hiroki Yamazaki Akihiro Matsuda University of Tsukuba, Japan 1

Previous study Outline This study 5 Joint torque [N m] -5 Subject A Subject B Subject C Subject D Subject E -1 45 9 135 18 225 27 315 36 Via Nirone 7-ALU (Bianchi Corp.) was applied for tests Ankle angle [deg] 18 135 9 45 Linear -3-2 -1 1 2 3 Normal force [N] 5 W 1 W 15 W Wattbike (Wattbike Corp.) was applied for tests Ankle angle[deg] 18 16 14 12 1 8 6 4 2-2 Non-linear -1 Linear 1 Normal force[n] Relationship between normal force in the rotation direction of a bicycle crank and ankle angle 2 2 W 25 W 3 W 1 amateur cyclist as a subject 5 amateur cyclists as subjects 3 Maximum joint torque power[w] 3 25 2 15 1 5 Crank angle[deg] Knee joint torque A B C D E Subjects Maximum joint torque power Ankle joint Knee joint Hip joint Joint torque and joint torque power were evaluated by pedaling system of this study

Purpose / Introduction Evaluating joint torque of lower limbs using our bicycle pedaling system Mechanism of bicycle pedaling The driving force is obtained by human leg power leg power applied to pedals is categorized two forces Effective force Tangential component of leg power Non-effective force Normal component of leg power Not all leg power is converted into driving force To reduce futile forces in bicycle pedaling, Directions of human leg power applied to pedals are crucial Effective force Force (N) Human leg power 3 2 1-1 45 futile force 9 135 18 Bicycle pedal 225 Crank Angle (Degrees) Non- effective force Effective Force Human Leg Power 27 315 36 3

Introduction In previous research, We developed newly biaxial load cells The load cells are designed to imitate cleats The advantage of this load cells is to be able to measure force of biaxial directions Cyclists can be use their own bicycles for performance test Almost same size Rated capacity of horizontal direction ±5N Plastic cleat made in Shimano Corp. Developed biaxial load cells Rated capacity of vertical direction ±1N 4

In previous research, Images of pedaling motion Introduction Image analysis using high-speed camera X 1 : Greater trochanter X 2 : Knee X 3 : Ankle X 4 : Toe γ : Ankle angle Modeling of lower limbs was conducted for the following 2 reasons, To convert the measured force into effective and non-effective force To obtain kinematic data for the lower limb motion 5 X 2 Thigh (,) Lower leg γ X 3 X 4 X 1 Foot Link mechanism of lower limb motion

In previous research, Images of pedaling motion Introduction Image analysis using high-speed camera The modeling of lower limb motion have weak point Each time the pedaling output and cadence changes, the ankle angle was obtained directly from image analysis using high-speed cameras X 2 Thigh (,) Lower leg γ X 3 X 4 X 1 Foot Link mechanism of lower limb motion X 1 : Greater trochanter X 2 : Knee X 3 : Ankle X 4 : Toe γ : Ankle angle 5

In previous research, Images of pedaling motion Introduction Image analysis using high-speed camera Link mechanism of lower limb motion In this study, an approximation method of relationship between the ankle angle and normal force in the rotation direction of a bicycle crank was proposed. X 2 Thigh (,) Lower leg γ X 3 X 4 X 1 Foot X 1 : Greater trochanter X 2 : Knee X 3 : Ankle X 4 : Toe γ : Ankle angle 5

Modeling of lower-limb motion Test condition Subjects Applied bicycle :5 amateur male cyclists :Wattbike (Wattbike Corp.) Pedaling output : 2, 25, 3 W Cadence : 8, 9, 1 rpm Recording frequency : 5 Hz Horizontal and vertical loads of legs were recorded for 3 seconds Subject data Subject Age Height [m] Mass [kg] BMI [kg/m 2 ] A 22 1.75 62.65 2.45 B 23 1.75 73.65 24.25 C 24 1.72 65.4 22.1 D 23 1.65 64.1 23.68 E 24 1.7 67.2 23.25 Standard Deviation.894.389 3.83 1.3 6

Modeling of lower-limb motion Ankle angle [deg] 18 16 14 12 1 8 6 4 2-2 upstroke -1 Ankle angle[deg] 18 16 14 12 1 downstroke 9 8 downstroke 6 6 downstroke 1 Normal force [N] Pedaling output Pedaling output Pedaling output 2 2 W 25 W 3 W 3 4 2-2 upstroke -1 1 Normal force[n] 2 2 W 25 W 3 W 3 Ankle angle [deg] 18 15 12 3-2 upstroke -1 1 Normal force [N] 8rpm 9rpm 1rpm These figure showed that this relationship was not significantly affected by pedaling output and cadence in downstrokes. 1 f n 2 : linear equation was applied to approximation for the downstroke 2 2 W 25 W 3 W 3 1 f n 2, : Constant parameters for each subject : Ankle angle : Normal force in the rotation direction of a bicycle crank 7

Modeling of lower-limb motion Ankle angle [deg] 18 16 14 12 1 8 6 4 2-2 -1 1 1 f n 2 Normal force [N] Pedaling output Pedaling output Pedaling output 2 2 W 25 W 3 W 3 Ankle angle[deg] 18 16 14 12 1 8 6 4 2-2 -1 1 Normal force[n] 2 2 W 25 W 3 W : linear equation was applied to approximation for the downstroke 3 Ankle angle [deg] 18 15 12 9 6 3-2 -1 1 Normal force [N] 8rpm 9rpm 1rpm These figure showed that this relationship was not significantly affected by pedaling output and cadence in downstrokes. 2 2 W 25 W 3 W 3 1 f n 2, : Constant parameters for each subject : Ankle angle : Normal force in the rotation direction of a bicycle crank 7

Modeling of lower-limb motion Ankle angle [deg] 18 16 14 12 1 8 6 4 2-2 -1 1 Normal force [N] 2 2 W 25 W 3 W 3 Ankle angle[deg] 18 16 14 12 1 8 6 4 2-2 -1 1 Normal force[n] 2 2 W 25 W 3 W 3 Ankle angle [deg] 18 15 12 9 6 3-2 -1 1 Normal force [N] 8rpm 9rpm 1rpm These figure showed that this relationship was not significantly affected by pedaling output and cadence in downstrokes. f 1 n 2 Pedaling output Pedaling output Pedaling output Two variables used in the approximation method were determined by using relationship Subject γ 1 γ 2 2 2 W 25 W 3 W Approximate expression parameters A.486 12.7 B.695 17.712 C.264 19.87 D.615 97.832 E.516 1.47 3

Construction of evaluation system Calculation method for joint torque Joint torque is the resistive force acting on the body due to the influence of external forces Cyclists are able to recognize their lower limbs behavior objectively Joint torque was calculated by using free body diagram The free body diagram separates the lower limb into three segments(thigh, lower leg and foot). Thigh Positive joint torque Negative joint torque : Extension torque : Flexion torque Lower leg Equation of motion for each segment m I k k x k k f k, P f k, P D m k, cgp f k, P Pk, cgd f k, D Tk, P k g T k, D Foot Free body diagram 8

Construction of evaluation system Calculation method for joint torque power Joint torque power(p t ) is a calculated value based on joint torque(jt) and joint angular velocity(jav) Cyclists are able to estimate the action of virtual muscles Joint torque(jt) was calculated by the free body diagram Joint angular velocity(jav) was calculated by differentiating the joint angle based on the link mechanism P t JT JAV Definition of joint torque power Joint torque Joint angular velocity Joint torque power Extension torque (+) Extension (+) Positive power (+) Flexion (-) Negative power (-) Flexion torque (-) Extension (+) Negative power (-) Flexion (-) Positive power (+) 9

Performance test Test condition Subjects Applied bicycle :5 amateur male cyclists :Wattbike (Wattbike Corp.) In tests, subjects were ordered following condition Pedaling output : 2 W Cadence : 9 rpm Pedaling in 3 sec Experimental condition 1

Test result (knee joint torque) Knee joint torque in each subject The difference is remarkable from 9 to 18 Flexion torque was exerted at about 1 of crank angle by subject D at about 13 of crank angle by subject B, C and E at about 16 of crank angle by subject A 5 Joint torque [N m] -5 Subject A Subject B Subject C Subject D Subject E -1 45 9 135 18 225 27 315 36 Crank angle[deg] Knee joint torque 11

Test result (knee joint torque) Knee joint torque in each subject The difference is remarkable from 9 to 18 Flexion torque was exerted at about 1 of crank angle by subject D at about 13 of crank angle by subject B, C and E at about 16 of crank angle by subject A Joint torque [N m] 5-5 Subject A Subject B Subject C Subject D Subject E Joint torque [N m] 5 Subject A Subject B Subject C Subject D Subject E -1 45 9 135 18 225 27 315 36-5 9 135 18 Crank angle[deg] Knee joint torque Crank angle[deg] 11

Test result (knee joint torque) Knee joint torque in each subject In previous research, trained cyclist exerted flexion knee joint torque at about 135 of crank angle Subject B, C and E were pedaling well in dwonstorkes Joint torque [N m] 5 Subject A Subject B Subject C Subject D Subject E Flexion Flexion Flexion -5 9 135 18 Crank angle[deg] Subject D B, C, E A

Test result(joint torque power) Maximum joint torque power in each subject Evaluation of maximum joint torque power allows us to estimate the action of muscles of lower limbs in bicycle pedaling Maximum joint torque power[w] 3 25 2 15 1 5 Ankle joint Knee joint Hip joint A B C D E Subjects Maximum each joint torque power Positive joint torque power means concentric working of muscle 5 subjects were classified into 3 groups A, B and C were classified into maximum knee joint torque power group D was classified into maximum ankle joint torque power group E was classified into maximum hip joint torque power group 12

Test result of subject A, B and C Maximum joint torque power in each subject Maximum joint torque power[w] 3 25 2 15 1 5 Ankle joint Knee joint Hip joint A B C D E Subjects Maximum knee joint torque power Joint torque power [W] 3 25 2 15 1 5-5 -1-15 -2 45 9 135 18 225 Crank angle[deg] Subject A Subject B Subject C 27 315 36 Extension Subject A, C Flexion Subject B Subject A, B and C were worked to advantage the positive joint torque power in the knee joint The maximum knee joint torque power was generated at about 9 or 18 of crank angle A and C were worked maximum extension torque power at about 9 of crank angle B was worked maximum flexion torque power at about 18 of crank angle 13

Test result of subject D Maximum joint torque power in each subject Maximum joint torque power[w] 3 25 2 15 1 5 Ankle joint Knee joint Hip joint A B C D E Subjects Maximum ankle joint torque power Joint torque power [W] 2 15 1 5-5 Extension Subject D was worked to advantage the positive ankle joint torque power The maximum ankle joint torque power was generated at about 13 of crank angle Maximum extension torque power of ankle joint was exerted because subject D tends to move the ankle joint mainly -1 45 9 135 18 225 27 315 36 Crank angle[deg] 14

Test result of subject E Maximum joint torque power in each subject Joint torque power [W] Maximum joint torque power[w] 2 15 1 3 5-5 -1 25 2 15 1 5 Ankle joint Knee joint Hip joint A B C D E Subjects Maximum hip joint torque power 45 9 135 18 225 Crank angle[deg] 27 315 36 Extension Subject E was worked to advantage the positive hip joint torque power The maximum hip joint torque power was generated at about 13 of crank angle Maximum extension torque power of hip joint was exerted because subject E was generated maximum hip joint torque and hip joint angular velocity at the same time 15

Conclusion Performance tests with 5 armature cyclists were conducted using developed bicycle pedaling system with small biaxial load cells Dynamic behavior of ankles in pedaling were analyzed by high speed camera system. From the results, a linear relationship between ankle angle and normal force of crank was proposed f 1 n 2 This relationship was applied to approximation of relationships between ankle angle and nominal force in downstorkes, especially. Joint torque power of each subjects in performance test were calculated and we investigate how each subject use their muscles of lower limbs in bicycle pedaling. Three subjects (A,B,C) showed same tendency of pedaling This might means that they are pushing down or pulling up the bicycle pedal using a peripheral muscle group of knee joint Two subjects are different from the other subjects, this might means that they are pushing down using a peripheral muscle of ankle or hip joint

Thank you for your attention 17