Saddle Height Research Articles

Bicycle Set-Up Dimensions and Cycling Kinematics: A Consensus Statement Using Delphi Methodology.

Bicycle set-up dimensions and cycling kinematic data are important components of bicycle fitting and cyclist testing protocols. However, there are no guidelines on how bicycles should be measured and how kinematic data should be collected to increase the reliability of outcomes. This article proposes a consensus regarding bicycle set-up dimensions and recommendations for collecting cycling-related kinematic data. Four core members recruited panellists, prepared the document to review in each round for panellists, analysed the scores and comments of the expert panellists, reported the decisions and communicated with panellists. Fourteen experts with experience in research involving cycling kinematics and/or bicycle fitting agreed to participate as panellists. An initial list of 17 statements was proposed, rated using a five-point Likert scale and commented on by panellists in three rounds of anonymous surveys following a Delphi procedure. The consensus was agreed upon when more than 80% of the panellists scored the statement with values of 4 and 5 (moderately and strongly agree) with an interquartile range of less than or equal to 1. A consensus was achieved for eight statements addressing bicycle set-up dimensions (e.g. saddle height, saddle setback, etc.) and nine statements for cycling kinematic assessment (e.g. kinematic method, two-dimensional methodology, etc.). This consensus statement provides a list of recommendations about how bicycle set-up dimensions should be measured and the best practices for collecting cycling kinematic data. These recommendations should improve the transparency, reproducibility, standardisation and interpretation of bicycle measurements and cycling kinematic data for researchers, bicycle fitters and cycling related practitioners.

Comparison of human injury differences in vehicle-riding/pushing bicycle accidents

To support regulations related to cyclists dismounting and pushing across motor vehicle lanes, this study first extracted posture parameters for riding/pushing through physical experiments, then simplified the posture parameters and extracted typical postures with distinguishability. Finally, simulated experiments were designed to compare the differences in human injury between riding and pushing in collision accidents. The physical experiment found that the bicycle controller’s (individuals who ride or push bicycles) forward leaning angle of the back (referred to as the ‘back angle’) when riding can be estimated by the ratio of saddle height to bicycle handlebar height, but the back angle when pushing is not affected by other parameters. Eight typical postures containing only lower limb posture parameters were then identified, and statistical analysis showed significant differences in over 80% of parameters among the postures. Through simulated experiments, the rider’s tolerable saddle height was identified. Even at this saddle height, the injury in riding state was still significantly higher than that in the pushing state, indicating that pushing the bicycle across the motor vehicle lane can reduce the injury to the bicycle controller. The research results not only support relevant regulations, but also provide typical postures for the bicycle controller in vehicle-bicycle collision experiments in the future, and have certain theoretical and practical value.

Effects of workload and saddle height on muscle activation of the lower limb during cycling.

Cycling workload is an essential factor in practical cycling training. Saddle height is the most studied topic in bike fitting, but the results are controversial. This study aims to investigate the effects of workload and saddle height on the activation level and coordination of the lower limb muscles during cycling. Eighteen healthy male participants with recreational cycling experience performed 15 × 2-min constant cadence cycling at five saddle heights of 95%, 97%, 100%, 103%, and 105% of greater trochanter height (GTH) and three cycling workloads of 25%, 50%, and 75% of functional threshold power (FTP). The EMG signals of the rectus femoris (RF), tibialis anterior (TA), biceps femoris (BF), and medial gastrocnemius (MG) of the right lower limb were collected throughout the experiment. Greater muscle activation was observed for the RF and BF at a higher cycling workload, whereas no differences were observed for the TA and MG. The MG showed intensified muscle activation as the saddle height increased. The mean and maximum amplitudes of the EMG signals of the MG increased by 56.24% and 57.24% at the 25% FTP workload, 102.71% and 126.95% at the 50% FTP workload, and 84.27% and 53.81% at the 75% FTP workload, respectively, when the saddle height increased from 95 to 100% of the GTH. The muscle activation level of the RF was minimal at 100% GTH saddle height. The onset and offset timing revealed few significant differences across cycling conditions. Muscle activation of the RF and BF was affected by cycling workload, while that of the MG was affected by saddle height. The 100% GTH is probably the appropriate saddle height for most cyclists. There was little statistical difference in muscle activation duration, which might be related to the small workload.

How saddle height changes the hip kinematics pattern in different degree of freedom

How saddle height changes the hip kinematics pattern in different degree of freedom

Saddle Pressures Factors in Road and Off-Road Cyclists of Both Genders: A Narrative Review.

The contact point of the pelvis with the saddle of the bicycle could generate abnormal pressure, which could lead to injuries to the perineum in cyclists. The aim of this review was to summarize in a narrative way the current literature on the saddle pressures and to present the factors that influence saddle pressures in order to prevent injury risk in road and off-road cyclists of both genders. We searched the PubMed database to identify English-language sources, using the following terms: "saddle pressures", "pressure mapping", "saddle design" AND "cycling". We also searched the bibliographies of the retrieved articles. Saddle pressures are influenced by factors such as sitting time on the bike, pedaling intensity, pedaling frequency, trunk and hand position, handlebars position, saddle design, saddle height, padded shorts, and gender. The jolts of the perineum on the saddle, especially on mountain bikes, generate intermittent pressures, which represent a risk factor for various pathologies of the urogenital system. This review highlights the importance of considering these factors that influence saddle pressures in order to prevent urogenital system injuries in cyclists.

PREFERRED SADDLE HEIGHTS EFFECTS ON PEDALLING KINEMATICS AMONG SKILLED AND LESS SKILLED CYCLISTS

The purpose of this study was to compare the movement kinematics between skilled and less skilled cyclists based on their preferred saddle heights. 12 recreational cyclists were recruited for this study, and they were required to perform 10-minute cycling using their own bike (mounted on a bike trainer) which consists of a 4-minute warm-up, and continue with a 6-minute cycle at 90-100 rotations per minute with their preferred saddle height. Reflective markers were placed at the joint involved such as hip, knee, and ankle to assess change in the segment and joint motion parallel to the 90° of the crank cycle (3'o clock) during the study. Additional variables such as cadence and power (watt) were recorded for monitoring purposes. Results showed that there were significant differences (p<0.05) in hip and ankle range of motion during pedalling between skilled and less-skilled recreational cyclists. It can be concluded, significantly better range of motion on the hip and ankle performed by the skilled cyclist may be due to suitable saddle height and it might lead to effectiveness on cycling efficiency.

Risk prediction and factor analysis of rider’s injury severity in passenger car and E-bike accidents based on interpretable machine learning

Casualties and property losses caused by the passenger car and electric bicycle crash accidents increased year by year. Assessment of the relevant risk factors of injury severity in passenger car and electric bicycle crashes could help to mitigate crash severity. This study uses an emerging machine learning method to predict the relationship between the risk factors and bicyclist accident injury severity in passenger car-electric bicycle collision accidents. The model’s performance is compared and evaluated based on accuracy, precision, recall, F1-Score, area under curve (AUC), and receiver operating characteristic curve (ROC). An interpretable machine learning framework Shapley additive explanations (SHAP) is used to further analyze the relationship between risk factors and bicyclist injury severity. It is found that we can adopt the light gradient boosting machine (LightGBM) algorithm after hyper-parameter optimization to get the highest accuracy (94.85%), precision (95.2%), recall (94.9%), F1-Score (95%), and AUC (0.993) based on the accident data of electric bicycles and passenger cars in the China in-depth accident study dataset from 2014 to 2018. The model can be used to assess new accident cases based on the model learning rate. There are some new findings in the aspects of bicyclists’ physical factors and electric vehicle characteristics. The throwing distance of the bicyclist has a positive impact on the injury severity. The bicyclist is more likely to suffer more serious injuries in a crash accident when the bicyclist is male, or shorter. Electric bicycles have a smaller handlebar width. In general, the lower handlebar height is, or lower saddle height is, the more serious the bicyclist’s injury is. Safety training for drivers can help reduce the injury severity in crash accidents and improve traffic safety.

The effect of changes in saddle height on coordination and its variability during pedalling cycle

ABSTRACT Modifications in saddle height affect the range of movement of the lower limb’s joints during pedalling. Although its effect on movement patterns is poorly understood. The purpose of this study was to analyse the acute effects of small changes in bicycle saddle height on pedalling coordination and its variability. Lower extremity kinematic data were collected in random order for ten well-trained cyclists while pedalling at three different saddle heights: preferred, 2% higher and 2% lower than preferred position. A dynamical systems approach was used to quantify the coordination and its variability for selected joint couplings. Modifications in saddle height produced large changes in the frequency of movement patterns, although they were not enough to alter the coordination classification. Lowering the saddle height increased the frequency of the proximal coordinative hip-ankle pattern (F = 11.77, p < .01) and knee-ankle couplings (F = 14.39, p < .01), while decreasing inphase coordination (F > 11.03, p < .01) during the propulsive phase. Pedalling coordination variability was not affected, being greatest during the movement transitions and when the ankle joint was included in the coupling. This study demonstrated that pedalling pattern coordination and coordination variability were generally stable to acute small changes in saddle height in well-trained cyclists.

Preliminary Study of Postural Safety and Ergonomics Analysis Related to Cycling Activity

Introduction: In cycling activity, having a good proper posture can reflect good performance and comfort of the cyclist. Incorrect posture will lead to future health problems such as back pain. On some occasions, the muscle activity of the cyclist also can be affected due to improper posture, non-ergonomic posture. Design and load can be major factors of injury as well. This preliminary study helped to identify and investigate the postural safety and ergonomic analysis of cyclist muscle activity during cycling. Methods: A questionnaire was used to get an overview and prior knowledge of postural safety and ergonomic of random cyclists on the university campus. Then, Surface Electromyography sEMG and postural angle from Kinovea software were used to measure and compare the results with and without load among cyclists. In this study, there was a significant effect of saddle height and pedalling on the cyclist’s body posture. This showed an optimum power and effectiveness performance while cycling. This led to comfort and reduce the chance of injury such as back pain towards cyclist. Results: Based on the results, the lower back muscles activity pattern for cyclists with the load was higher compared to cyclists without the load (the optimum saddle height was applied). The cyclist’s lower back muscles activity showed an increasing pattern overtime. Conclusion: Therefore, this study will be helpful to the cyclist to get awareness regarding correct posture safety and feel more comfortable when cycling. Further improvement should be taken for future enhancement of the findings.

Association between Mountain Bike and Folding Bicycle Usage with Lower Extremity Pain

Background: Lower extremity pain from cycling with wrong technique or without adequate preparation could cause bodily injury and pain. Pain might cause reduced patient’s mobility and quality of life in physical and psychological aspects which results in disruption of sufferers when did their daily activities.Objective: Knowing relationship between uses of mountain bikes and folding bicycles with lower extremity pain.Methods: 65 respondents were involved in research conducted in Semarang online at the respective respondent's and researcher's premises. The study used cross-sectional method to assess relationship between certain types of bicycles uses with lower extremity pain presence and quality. Statistical test used in this study was the Mann-Whitney and Fischer's exact test.Results: There were significant differences in handlebar height, saddle height, and wheel diameter between two groups of respondents (p = 0.032, p = 0.001, p &lt; 0.001). There was insignificant difference between mountain bikes and folding bicycles uses with lower extremity pain presence and quality (p = 0.481, p = 0.599). There was also non-significant correlation and very weak correlation mountain bikes and folding bicycles uses with lower extremity pain presence and quality (p = 0.613, p = 0.603), negative correlation to presence of pain (r = -0.088), and positive correlation to quality of pain (r = 0.066). Location of lower extremity which felt most painful by respondents was knee in both groups.Conclusion: There was insignificant relationship between certain types of bicycles uses with lower extremity pain.

DynaRing: A Patient-Specific Mitral Annuloplasty Ring With Selective Stiffness Segments.

Annuloplasty ring choice and design are critical to the long-term efficacy of mitral valve (MV) repair. DynaRing is a selectively compliant annuloplasty ring composed of varying stiffness elastomer segments, a shape-set nitinol core, and a cross diameter filament. The ring provides sufficient stiffness to stabilize a diseased annulus while allowing physiological annular dynamics. Moreover, adjusting elastomer properties provides a mechanism for effectively tuning key MV metrics to specific patients. We evaluate the ring embedded in porcine valves with an ex-vivo left heart simulator and perform a 150 million cycle fatigue test via a custom oscillatory system. We present a patient-specific design approach for determining ring parameters using a finite element model optimization and patient MRI data. Ex-vivo experiment results demonstrate that motion of DynaRing closely matches literature values for healthy annuli. Findings from the patient-specific optimization establish DynaRing's ability to adjust the anterior-posterior and intercommissural diameters and saddle height by up to 8.8%, 5.6%, 19.8%, respectively, and match a wide range of patient data.

Pedaling cadence variability increases by worsening the bike fitting across most but not all workloads

Cyclic motion variability reflects the movement error correction. Since movement motor control generally worsens with impaired biomechanical setups, we assessed whether the pedaling cadence variability (PCV) increases by worsening the bike fitting across multiple workloads. Sixteen cyclists performed multiple 5-min bouts of constant load cycling exercise at 0, 20, 40, 55, 70, 85% of their maximum workload (MWL) capacity at 60 rpm with proper (PROPER) and worsened (WORSENED; 15 cm saddle height drop) bike fittings. Cycle-by-cycle duration series were collected. PCV was calculated as the standard deviation of each series. In both PROPER and WORSENED, PCV showed a U-shaped feature by increasing workload (minimum PCV values at 55% MWL). PCV was higher in WORSENED than PROPER, except at 55% MWL (0% MWL: 36.69 ± 10.06 vs. 42.21 ± 11.3, p &lt; 0.01; 55% MWL: 18.87 ± 3.51 vs. 19.74 ± 4.73, p = 0.3; 85% MWL: 34.93 ± 10.51 vs. 39.52 ± 11.84, p &lt; 0.01; ms; PROPER vs. WORSENED, respectively). PCV seems to be a workload-dependent variable, being greater at low and high workloads. At intermediate workloads, the moderate force expression to continue the movement, along with the effect of the workload itself in counteracting the natural extension of the leg, might explain a lower need for continuous motion adjustments and, consequently, a lower PCV in both bike setups.

Cycling kinematics in healthy adults for musculoskeletal rehabilitation guidance

BackgroundStationary cycling is commonly used for postoperative rehabilitation of physical disabilities; however, few studies have focused on the three-dimensional (3D) kinematics of rehabilitation. This study aimed to elucidate the three-dimensional lower limb kinematics of people with healthy musculoskeletal function and the effect of sex and age on kinematics using a controlled bicycle configuration.MethodsThirty-one healthy adults participated in the study. The position of the stationary cycle was standardized using the LeMond method by setting the saddle height to 85.5% of the participant’s inseam. The participants maintained a pedaling rate of 10–12 km/h, and the average value of three successive cycles of the right leg was used for analysis. The pelvis, hip, knee, and ankle joint motions during cycling were evaluated in the sagittal, coronal, and transverse planes. Kinematic data were normalized to 0–100% of the cycling cycle. The Kolmogorov-Smirnov test, Mann-Whitney U test, Kruskal-Wallis test, and k-fold cross-validation were used to analyze the data.ResultsIn the sagittal plane, the cycling ranges of motion (ROMs) were 1.6° (pelvis), 43.9° (hip), 75.2° (knee), and 26.9° (ankle). The coronal plane movement was observed in all joints, and the specific ROMs were 6.6° (knee) and 5.8° (ankle). There was significant internal and external rotation of the hip (ROM: 11.6°), knee (ROM: 6.6°), and ankle (ROM: 10.3°) during cycling. There was no difference in kinematic data of the pelvis, hip, knee, and ankle between the sexes (p = 0.12 to 0.95) and between different age groups (p = 0.11 to 0.96) in all anatomical planes.ConclusionsThe kinematic results support the view that cycling is highly beneficial for comprehensive musculoskeletal rehabilitation. These results might help clinicians set a target of recovery ROM based on healthy and non-elite individuals and issue suitable guidelines to patients.

Methods to determine saddle height in cycling and implications of changes in saddle height in performance and injury risk: A systematic review

ABSTRACT The objective of this systematic review was to assess the methods to determine bicycle saddle height and the effects of saddle height on cycling performance and injury risk outcomes. The key motivator of this review was to update and expand the finding reported by a previous narrative review published in 2011. The literature search included all documents from the following databases: Medline, Scopus, CINAHL, OVID and Google Scholar. Studies were screened against the Appraisal tool for Cross-sectional Studies to assess methodological quality and risk of bias. After screening the initial 29,398 articles identified, full-text screening was performed on 66 studies with 41 of these included in the systematic review. Strong evidence suggests that saddle height should be configured using dynamic measurements of the knee angle, and limb kinematics is influenced by changes in saddle height. However, moderate evidence suggests that changes in saddle height less than 4% of the leg length results in trivial to small changes in lower limb loads, and no effect on oxygen uptake and efficiency. It is also possible to state that there is limited evidence on the effects from changes in saddle height on supramaximal cycling performance or injury risk.

Modeling cycling performance: Effects of saddle position and cadence on cycle pedaling efficiency.

The modeling method is an effective means of estimating causality as well as examining cycle pedaling efficiency. Pedaling efficiency can also be examined by an experimental method, but the experimental method can lead to contradictory results due to perturbation of the measured output parameters. Experimental studies generally yield realistic results, but it is difficult to control for all the variables of interest and to determine the causal relationships between them. The objective of this study is to investigate the pedaling efficiency and causality with considering saddle position and pedaling cadence as variables. Based on the mathematical pedaling modeling, the internal work calculation method was used to calculate the consumed mechanical energy and energy conservation percentage (). The optimal saddle position with the lowest mechanical energy and the highest energy conservation percentage could be changed by the cadence. At the low cadence, the higher saddle position, and the shorter horizontal distance between the saddle and crankshaft led to higher pedaling efficiency (h: 0.95 m, d: 0.16 m, and knee angle: ). However, the highest pedaling efficiency was achieved at the high cadence with a saddle height (h) of 0.9 m and a horizontal distance between the saddle and the crankshaft (d) of 0.06 m (knee angle: ). The lowest cadence is the optimal cadence in terms of the consumed energy, but the optimal cadence was 90 r/min in terms of the energy conservation percentage. Compared to the energy consumption, the energy conservation percentage was demonstrated to influence the fatigue of a cycle rider more critically. The energy conservation percentage was highest at 90 r/min, and 90 r/min was close to the preferred cadence by the cyclist.

Comparing Traditional and Novel Methods in Determining Reach in Bicycle Fitting

In bicycle fitting, the literature has focus historically on the saddle height and knee flexion angle. There has been little focus in the literature on postural reach; this is the distance between the saddle and handlebars. Currently, this distance is determined by a specialist, a bicycle fitter, and is generally based on a trunk, shoulder, and elbow angle; however, it is primarily based on what "looks right" to the fitter and "feels right" to the client, rather than using anthropometric measurement. This study examined whether there was a relationship between anthropometric measures and postural reach, or if ideal fit should continue to be determined by a trial-and-error process, informed by expert opinion and client feedback. This study found that there was a moderate correlation r(9) = 0.663, p &lt; .05 between the upper extremity measure and postural reach and a fair correlation r(9)= 0.296, p &lt; .05 between the trunk measure and postural reach. A significant regression was found between the upper extremity length and the postural reach F(1, 9) = 7.06. The finding of this study does suggest that there is a relationship between the anthropometric measures and the postural reach. However, due to the low number of data points,the external validity may be somewhat limited, and it is suggested that the study be only used as a guide for future exploration.

Equations to Prescribe Bicycle Saddle Height based on Desired Joint Kinematics and Bicycle Geometry

ABSTRACT Overuse knee injuries are common in bicycling and are often attributed to poor bicycle-fit. Bicycle-fit for knee health focuses on setting saddle height to elicit a minimum knee flexion angle of 25-40°. Equations to predict saddle height include a single input, resulting in a likely suboptimal bicycle-fit. The purpose of this work was to develop an equation to predict saddle height from anthropometrics, bicycle geometry, and user-defined joint kinematics. Methods: Forty healthy adults (17 women, 23 men; mean (SD): 28.6 (7.2) years; 24.2 (2.6) kg/m2) participated. Kinematic analyses were conducted for 18 three-minute bicycling bouts including all combinations of 3 horizontal and 3 vertical saddle positions, and 2 crank arm lengths. For both minimum and maximum knee flexion, predictors were identified using Least Absolute Shrinkage and Selection Operator (LASSO) regression, and final models were fit using linear regression. Secondary analyses determined if saddle height equations were sex dependent. Results: The equation to predict saddle position from minimum knee flexion angle (R2=0.97; root mean squared error (RMSE) = 1.15 cm) was: Saddle height (cm) = 7.41 + 0.82(inseam cm) – 0.1(minimum knee flexion °) + 0.003(inseam cm)(seat tube angle °). The maximum knee flexion equation (R2=0.97; RMSE=1.15 cm) was: Saddle height (cm) = 41.63 + 0.78(inseam cm) – 0.25(maximum knee flexion °) + 0.002(inseam cm)(seat tube angle °). The saddle height equations were not dependent on sex. Conclusions: These equations provide a novel, practical strategy for bicycle-fit that accounts for rider anthropometrics, bicycle geometry and user-defined kinematics. Highlights This work developed simple equations to prescribed bicycle saddle height that elicits desired knee kinematics. Separate equations are presented for prescribing minimum or maximum knee flexion angle. Equations can be generalized to riders of both sexes, and a breadth of anthropometrics and ages.

Anthropometrics, flexibility and training history as determinants for bicycle configuration

Intrinsic factors such as leg length, arm length, flexibility and training history are factors that may be relevant to the optimisation of the individual bicycle configuration process. Bike fitting methods do not always take all these variables into account, and as yet there have been limited studies examining how these variables can affect the cyclist's position on the bicycle. The main aims of this study were to establish how individual anthropometrics, training history and flexibility may influence cyclists' freely chosen bicycle configuration, and to determine the full-body static flexion angles chosen by cyclists on the bicycle.Fifty well-trained male cyclists were recruited for the study. A multivariate linear regression analysis was performed to predict the four main configurations of a bicycle (saddle height, saddle setback, handlebar reach and handlebar drop) based on individual anthropometrics, flexibility and training history. Average joint kinematic ranges for the knee (36°±7°) and elbow (19°±8°) joint supported previous recommendations. Hip (77°±5°) and shoulder (112°±7°) joint angles should be determined as true clinical joints.Trochanteric leg length (p < 0.01), Knee Extension Angle test (p < 0.01) and mSchober test (p = 0.04) were significant predictors for determining saddle height. Hamstring flexibility can be used to predict handlebar drop (p = 0.01).A cyclist who wishes to adopt a more aerodynamic position with an increased handlebar drop should aim to improve their hamstring flexibility.

Does saddle height influence knee frontal-plane biomechanics during stationary cycling?

IntroductionCycling is a common modality for rehabilitation and exercise. However, there is a lack of information in the literature on the effects of saddle height adjustments on internal peak knee abduction moment, which is an important loading variable for the medial compartment of tibiofemoral joint for patients with knee osteoarthritis. The purpose of this study was to examine effects of saddle height on frontal-plane biomechanics of the knee during cycling. MethodsFourteen recreational cyclists (age: 57.1 ± 6.37 years) performed 2-min bouts of cycling at three saddle heights of 40°, 30° and 20° knee extension angle at bottom crank position, at two workrates of 80 and 120 W. Three-dimensional kinematic, kinetic, and electromyography data were collected and analyzed using a 3 × 2 (height × workrate) analysis of variance (ANOVA). ResultsThere were no changes in internal knee abduction moment across saddle heights. Increases in saddle height from 40° to both 30° and 20° reduced the knee extension moment (d = 0.3 and 0.4, respectively, P = 0.012). Increases in workrate increased both knee abduction and extension moments (η2p = 0.75 and 0.88, respectively, P < 0.001 for both). ConclusionsIncreased knee extension moment with decreased saddle height is likely to indicate increased knee joint load.

Evaluation of Accelerometer-Derived Data in the Context of Cycling Cadence and Saddle Height Changes in Triathlon.

In the multisport of triathlon cycling is the longest of the three sequential disciplines. Triathlon bicycles differ from road bicycles with steeper seat tube angles with a change to saddle height altering the seat tube angle. This study evaluated the effectiveness of a tri axial accelerometer to determine acceleration magnitudes of the trunk in outdoor cycling in two saddle positions. Interpretation of data was evaluated based on cadence changes whilst triathletes cycled in an aerodynamic position in two saddle positions. The evaluation of accelerometer derived data within a characteristic overground setting suggests a significant reduction in mediolateral acceleration of the trunk, yielding a 25.1% decrease when saddle height was altered alongside reduced rate of perceived exertion (3.9%). Minimal differences were observed in anteroposterior and longitudinal acceleration. Evaluation of sensor data revealed a polynomial expression of the subtle changes between both saddle positions. This study shows that a triaxial accelerometer has capability to continuously measure acceleration magnitude of trunk movements during an in-the-field, varied cadence cycle protocol. Accessible and practical sensor technology could be relevant for postural considerations when exploring saddle position in dynamic settings.