A practitioner-grade workflow for turning messy ride files into defensible before/after evidence. Import dual-sided pedal telemetry, validate the signal, compare interventions, and export clean client reports without moving clinical data to a cloud platform.
Whether you are correcting an asymmetry following joint surgery or optimising mechanical work in a wind tunnel, DialedRide KineMetric translates raw sensor streams into actionable clinical evidence.
Show how treatments and rehab exercises directly change the physical forces on a rider's body. Provide riders with clear evidence that orthopaedic adjustments or off-bike rehab are actively reducing joint strain, restoring symmetry, and accelerating recovery.
Monitor the mechanical efficiency of training positions over time. Track changes in torque effectiveness (TE), pedalling smoothness (PS), and L/R power balance to confirm that performance gains are biomechanically sustainable.
Reject mathematical noise. The telemetry validation engine shields your research calculations from sensor dropouts, outlier cadence spikes, and telemetry gaps, ensuring fit archives remain pure and comparable.
DialedRide KineMetric does not compete with motion capture or video-analysis systems. It represents the crucial missing link in a professional practitioner's workflow: standardising the kinetic outcomes of kinematic adjustments.
Tools like Retül 3D infrared trackers, VeloFit AI video models, or pressure-mapping insoles are standard for studio geometry setup. They capture dynamic rider angles, knee extensions, reach parameters, and mechanical body alignments under controlled, brief indoor trials.
DialedRide KineMetric does not measure angles or record video. It acts as a data integrity filter and clinical outcome tracker. It parses raw .fit data from standard power sensors on the road to prove that your studio geometric adjustments successfully converted to symmetrical, fatigue-resistant mechanical output.
The Professional Workflow Loop: First, use 3D Kinematics (like Retül or VeloFit) to establish the ideal rider joint geometry in the laboratory. Next, use DialedRide KineMetric to parse real-world telemetry logs—validating that the changes have eliminated asymmetry, delayed muscle fatigue thresholds, and locked in peak kinetic output.
DialedRide Kinemetric is fundamentally hardware-agnostic. The processing engine is built to read and analyse standard .fit files generated by any high-resolution, dual-sided power meter or head unit.
Following testing to ensure data accuracy and reliable file export, we have outlined a Recommended Hardware Ecosystem.
These hardware references are compatibility guidance only. DialedRide does not sell the products listed here; third-party supplier links will be added later.
Standard .fit activity files from high-resolution, dual-sided telemetry hardware.
DialedRide KineMetric runs directly in your web browser. No specialist desktop software, proprietary platforms, or developer setup is required.
Alternative off-road standards—such as Crankbrothers Eggbeaters—do not support dual-sided power spindles. For riders using these systems, the recommended protocol is a temporary pedal substitution using the rider's own shoes.
Because our recommended off-road option (Option C) uses the universal Shimano SPD cleat interface, a studio or clinic only needs to keep a standard set of loose two-bolt SPD cleats in a drawer. During an assessment, the client’s proprietary pedals are swapped for the dual-sided power pedals, and the standard SPD cleats are temporarily fitted to their existing shoes. This ensures that any recorded torque asymmetries are purely biomechanical rather than an artefact of mechanical pedal play.
We built DialedRide KineMetric to handle the actual frustrations of bike fitting—messy sensor data, inconsistent intake tracking, and the difficulty of proving to clients that your adjustments worked.
Real-world sensor logs are often messy. DialedRide KineMetric automatically scans incoming .fit files, verifies that they contain the necessary pedal telemetry (like left/right balance and torque smoothness), and cleans up common sensor anomalies before the data goes into your charts.
Interact with our live simulation of actual client telemetry from the workspace. Switch between the profiles below to see how a low saddle setup induces lateral tracking fatigue, and how DialedRide KineMetric's comparison engine visualises the post-intervention resolution.
The Patient: A 65-year-old dedicated master cyclist.
Chief Complaint: Left knee discomfort accompanied by the insidious onset of lower back pain, consistently manifesting after approximately two hours of cumulative saddle time.
Initial Biomechanical Assessment: Preliminary data identified a significant left-leg dominance and balance bias (up to 52.4% Left in early sessions).
In off-road environments (mountain bike and gravel), the highly variable torque demands, micro-impacts, and unpredictable terrain force erratic muscular recruitment patterns. For an athlete with an existing asymmetric compensation, this chaotic environment accelerates localized neuromuscular fatigue.
Once fatigue sets in (typically around the 2-hour mark), the kinetic chain collapses: the rider excessively loads the left knee, while the lumbo-pelvic-hip complex compensates for the bilateral discrepancy, triggering lower back pain.
Rather than prescribing passive therapy, a two-pronged, movement-based intervention was launched:
Because his motor system retained its symmetrical programming into late-stage energy expenditures, the chronic eccentric stress on his left knee was systematically removed.
Concurrently, by balancing the pelvis and stabilizing the lumbo-pelvic-hip complex, the mechanical onset of lower back pain was successfully deferred and its severity profoundly reduced.
At this stage, the reprogramming is not complete and there is ongoing monitoring. In the absence of recurrence of severe symptoms, the client can send us .fit files for analysis avoiding repeat visits to the clinic.
A fitter-facing reference for hardware choices, file quality, telemetry interpretation, rider privacy, and the assessment workflow. Hardware compatibility can change, so always check the current manufacturer guidance before buying or modifying equipment.
Rider records and imported activity data stay on the user's device, not on a DialedRide server.
For the strongest analysis, use a bike-mounted head unit that records standard .fit files, plus a high-quality power meter that records cadence, power, left/right balance, and pedal dynamics where available. Dual-sided pedal systems are preferred.
Single-sided power can support basic workload and power review, but it cannot fully support bilateral asymmetry or left/right pedal dynamics. For fit validation, injury-history review, or fatigue-related asymmetry work, use true dual-sided data.
Pedal-based dual-sided systems usually provide the richest data because they measure force at the rider's contact point. Favero Assioma DUO, DUO-Shi, PRO MX-2, and comparable systems are good candidates when they export the required fields.
Yes, but with limits. These systems can provide useful total power and cadence data, and some provide left/right estimates. They usually do not provide the same pedal-stroke detail as dual-sided pedal systems.
No. KineMetric is designed around standard ride file telemetry rather than a single brand ecosystem. Garmin Cycling Dynamics-style fields are valuable when present because they add detail about left/right contribution and pedal stroke behaviour.
To analyze micro-level biomechanics, DialedRide KineMetric relies on a layer of data called Advanced Cycling Dynamics. Most dual-sided power meters provide standard power, cadence, and left/right balance, but not all broadcast the deeper telemetry required for detailed pedalling analysis.
We group dual-sided systems into three practical compatibility levels:
| Compatibility Level | What Data We Can Extract | Common Examples |
|---|---|---|
| Full Dynamics Gold Standard | Total power, cadence, L/R balance, power phase start/end/peak, seated/standing tracking, and platform center offset (PCO). | Garmin Rally series, Favero Assioma PRO line (MX / RS / RL). |
| Partial Dynamics Legacy High-Tier | Total power, cadence, L/R balance, power phase, and seated/standing tracking without PCO. | Favero Assioma Duo / Duo-Shi legacy pod versions. |
| Basic Dual-Side Minimalist | Total power, cadence, and L/R balance only. No advanced biomechanics. | Wahoo POWRLINK ZERO, Stages Power L/R, 4iiii Precision PRO. |
If your hardware is in the full or partial dynamics group but the advanced data fields are empty, the issue is usually in pairing or recording rather than the pedals themselves.
Garmin Edge units are the safest recommendation because they are widely used with pedal dynamics hardware and produce detailed .fit files. Other head units may work if they preserve power, cadence, left/right balance, torque effectiveness, and pedal smoothness fields.
Often, yes, if the exported .fit file contains the required telemetry fields. Hammerhead Karoo 2 files have been tested extensively with KineMetric: the data is accurate and comprehensive, although the .fit file needs to be downloaded from the Hammerhead dashboard. For Wahoo, Bryton, and smartphone apps, check that the export preserves the channels KineMetric needs.
Yes. Indoor files can be useful for controlled repeat testing. Smart trainer power is useful for workload and effort review, but it is not a substitute for dual-sided pedal data because it does not measure force contribution at each pedal.
No, not as a recommended or supported configuration. Favero Assioma DUO-Shi is designed for compatible Shimano SPD-SL road pedal bodies, not Shimano SPD MTB pedal bodies. Favero's off-road SPD option is the Assioma PRO MX range, with the PRO MX-2 providing dual-sided measurement.
Yes, but only with the compatible Shimano SPD-SL road pedal bodies specified by Favero. Commonly listed bodies include Shimano PD-R8000, PD-R7000, PD-6800, PD-R550, and PD-R540. Do not assume every Shimano pedal body will fit.
Yes. Standard Favero Assioma DUO pedals use a Look Keo-style cleat interface. They are not Shimano SPD or SPD-SL pedal bodies.
Yes. Favero Assioma PRO MX is the cleaner Favero option for SPD-style gravel and MTB use. For KineMetric work, the dual-sided PRO MX-2 is the more complete choice.
Yes. Temporarily substitute a known dual-sided power pedal system while keeping the rider on their own bike and, where possible, their own shoes or equivalent shoe setup. Document the substitution so the report is clear.
It can. Stack height, stance width, cleat position, float, and shoe interface can all influence how the rider moves. Replicate the normal setup as closely as possible and note any unavoidable differences.
Inspect contact points before testing. Replace badly worn cleats, check that pedals spin normally, confirm there is no excessive bearing play, and make sure the cleat engages securely.
KineMetric is primarily designed around .fit files because they can contain detailed power, cadence, and pedal dynamics telemetry. .gpx files may be useful for route context but usually do not contain the same power-meter detail.
A valid file can be parsed. A clinically useful file contains enough clean, active pedalling data to support the interpretation being made. A file can be technically valid but still too sparse, noisy, or incomplete for strong conclusions.
Common reasons include missing power data, missing cadence data, absent left/right fields, no pedal dynamics channels, excessive sensor gaps, or insufficient active pedalling samples.
KineMetric applies validation and filtering logic before interpretation. The goal is not to rewrite the ride, but to prevent obvious sensor artefacts from driving the analysis.
KineMetric detects and filters these periods before calculating pedal-stroke summaries. Pauses, coasting intervals, zero-cadence sections, and other inactive samples are treated separately from active pedalling so they do not skew torque effectiveness, pedal smoothness, asymmetry, or workload-based interpretation.
Yes, but control the context as much as possible. Terrain, fatigue, wind, equipment, shoes, cleats, rider intent, and ride duration can all affect the comparison.
A traditional fit often measures body position, joint angles, and equipment geometry. KineMetric looks at kinetic outcomes: how the rider applies force over time, under load, and under fatigue.
Kinematics describes movement and position. Kinetics describes force and workload. KineMetric helps validate whether a positional change improved force production, symmetry, and durability.
Torque effectiveness measures how much of the pedal stroke contributes positive driving torque. Pedal smoothness describes how evenly force is applied through the stroke. Both should be interpreted alongside power, cadence, fatigue, and rider context.
It shows how power or force contribution differs between sides. Small asymmetries are common. Persistent, worsening, or fatigue-linked asymmetry may be more meaningful, especially when it matches rider symptoms or fit observations.
It can help provide evidence. If before-and-after files are comparable, KineMetric can show whether symmetry, efficiency, or fatigue resistance improved after an intervention.
No. KineMetric can support biomechanical observation and professional reasoning, but it is not a medical diagnostic tool. Injury diagnosis should be handled by appropriately qualified clinicians.
Start with a clear question, record the rider's current equipment setup, import a clean baseline ride, review data quality, make any fit or equipment intervention, then compare with a follow-up file under similar conditions.
Yes, if the rider can record compatible files and provide clear equipment notes. Remote work depends heavily on clean data capture and careful documentation.
Reports can include rider details, assessment context, data quality notes, selected ride evidence, key metrics, intervention notes, and a practitioner-facing summary.
Yes. The same ride evidence can be framed differently depending on audience. A coach may care most about fatigue, power, and repeatability. A physio may care more about asymmetry, symptom context, and load tolerance.
Rider data is stored locally on the user's device, not on a DialedRide server. Rider records, imported activity data, and working assessment data remain in local browser/device storage unless the user exports or shares a report separately.
Yes. Files are processed locally rather than uploaded into a hosted rider database. Exported PDFs or downloaded files should be managed separately wherever the user saves them.
KineMetric is for clinics, fitters, coaches, and practitioners who need repeatable assessments, rider records, telemetry validation, and report generation.
Favero's published Assioma guidance lists DUO-Shi compatibility for specific Shimano SPD-SL road pedal bodies and positions the Assioma PRO MX range as SPD power meter pedals for mountain biking and gravel. Check the latest Favero documentation before publishing fixed compatibility lists or buying hardware.
DialedRide KineMetric enforces absolute clinical confidentiality boundaries. Unlike generic cloud platforms that ingest and sell athlete profiles, DialedRide KineMetric runs completely client-side.
Client telemetry records, medical histories, and generated reports reside strictly within your browser's local sandbox storage directory.
Export complete athlete diagnostic folders easily as offline packages (.json manifests) to transfer records, perform secure backups, or restore.
By completely avoiding server uploads, DialedRide KineMetric makes standardising medical client consent boundaries and corporate privacy compliance effortless.
Take the guesswork out of biomechanics. Start importing .fit sensor streams, validating telemetry integrity, and printing clinic-branded before/after outcomes within a secure local environment.