Science & Research

Where every step becomes scientific evidence

Peer-reviewed, clinically validated, and built on the world's largest real-world biomechanical dataset — Baliston Health turns movement into measurable insight.

The Science

A platform built on peer-reviewed evidence.

The Baliston Health platform sits behind a growing body of peer-reviewed validation studies, clinical-application research, and white papers. Below, every published reference behind the platform — methods, sample sizes, and findings, organised by research family.

20+
Peer-reviewed papers and white papers
10+
Indexed scientific journals
200+
Subjects across published cohorts
2020–25
Continuous publication record
Research Index

Every claim, traceable to a study.

Studies and white papers are grouped into three families — sensor validation, clinical applications, and white papers. Each entry links to the published methodology and DOI where available.

01 · Validation
Peer-Reviewed Validation Studies
4 papers
IMU insole walking validation in a gait lab
Sensors · 2023
IF 3.4
Validation StudyGait AnalysisOpen Access
Validating IMU-Embedded Insoles for Spatiotemporal Gait Capture During Overground and Treadmill Walking

A controlled comparison of the Baliston insole platform against an instrumented walkway and motion-capture reference, across both overground and treadmill conditions. The study established baseline equivalence for the parameters used in clinical reporting.

n = 30
Subjects
2 conditions
Walking modes
Gold-standard
Reference
  • High agreement on cadence, stride length, and stance/swing timing
  • Reliable capture across natural walking speeds
  • Performance maintained on both overground and treadmill
Runner using IMU insoles during treadmill validation
Sensors · 2024
IF 3.4
Validation StudyRunning MechanicsOpen Access
Concurrent Validity of the IMU Insole Platform for Running Across a Range of Speeds

Extension of the validation programme into running mechanics. The platform was benchmarked across multiple running velocities to confirm that capture quality holds at higher cadence and impact loads — the regime most relevant to sports-medicine and performance use cases.

n = 30
Subjects
Multi-speed
Protocol
Lab-grade
Reference
  • Concurrent validity confirmed for ground contact time and cadence
  • Stride symmetry holds at speeds across the running spectrum
  • Robust performance under treadmill instrumentation
Repeated gait testing with aligned IMU insole traces
Sensors · 2021
IF 3.4
Reliability StudyTest–RetestOpen Access
Test–Retest Reliability of IMU-Insole Spatiotemporal Parameters in Healthy Adults

A reproducibility study quantifying day-to-day measurement stability. Reliability is the foundation of longitudinal monitoring — without it, change scores between visits cannot be trusted.

n = 22
Healthy males
2 sessions
Test–retest
ICC
Statistic
  • Strong within-subject agreement on stride and stance metrics
  • Stability sufficient to detect clinically-meaningful change
  • Foundations for visit-over-visit monitoring established
"Reliability of this magnitude is what allows the platform to be used for longitudinal clinical decisions, not just one-off snapshots."
Reference instrumentation validating insole-derived gait metrics
Sensors · 2021
IF 3.4
Validation StudySpatiotemporalOpen Access
Concurrent Validation of Insole-Derived Gait Metrics Against Reference Instrumentation

An earlier benchmark study against established laboratory equipment, focused on the spatiotemporal parameters that drive clinical interpretation. Findings supported the platform's classification as a valid alternative to fixed-lab measurement for routine assessment.

n = 11
Healthy males
Walkway
Reference
Spatiotemporal
Metrics
  • Strong concordance for gait timing and step length parameters
  • Methodology accepted as the basis for follow-on studies
  • First peer-reviewed validation in the publication record
02 · Clinical
Clinical Application Studies
4 papers
Type 2 diabetes gait assessment with sensorized insoles
Nutrients · 2023
IF 4.8
CardiometabolicType 2 Diabetes
Gait Alterations in Type 2 Diabetes Mellitus: An IMU-Insole Cohort Study

Evaluating whether routine in-clinic gait capture can surface the subtle spatiotemporal changes associated with diabetic neuropathy and metabolic dysfunction — a population in which lab-based assessment is rarely practical.

Cohort
Design
T2DM
Population
In-clinic
Setting
  • Detected gait-pattern shifts associated with metabolic status
  • Captured asymmetries relevant to neuropathy screening
  • Demonstrated feasibility outside dedicated motion labs
Gait biomarker modelling for metabolic syndrome risk
Frontiers · 2022
IF 4.7
Mental HealthPredictive Modelling
Predicting Metabolic Syndrome Risk in Schizophrenia Through Gait Biomarkers

A novel application of in-shoe biomechanics to a non-traditional indication — exploring whether gait-derived signals carry predictive value for cardiometabolic complications in patients with schizophrenia.

Case-control
Design
Predictive
Modelling
Multi-modal
Inputs
  • Gait features carried independent predictive signal
  • Findings support broader use of motion data as a digital biomarker
  • Opens a research pathway into psychiatry-adjacent monitoring
"Movement data is starting to show value far outside the orthopedic and neurological indications it was originally validated for."
Age-stratified gait reference values from IMU-derived parameters
Medicina · 2025
IF 2.6
AgingPopulation Norms
Age-Stratified Reference Values for IMU-Derived Gait Parameters in Adults

A normative-data study generating reference distributions for the platform's spatiotemporal outputs across adult age bands. The result is the population baseline against which individual patient sessions can be benchmarked.

n = 81
Participants
Multi-band
Age groups
Cross-sectional
Design
  • Age-stratified reference ranges for clinically relevant metrics
  • Foundation for population benchmarking in Bal AI reports
  • Supports mobility-decline screening in geriatric populations
Lower-limb amputation rehabilitation monitored with IMU gait data
JCM · 2022
IF 3.9
RehabilitationLower-Limb Amputation
Comparing Two Therapy Protocols in Lower-Limb Amputation Recovery via IMU-Based Gait Monitoring

An interventional study using continuous gait capture to differentiate the recovery trajectories produced by two physical-therapy protocols — turning subjective progress reports into measurable, comparable curves.

n = 16
Male patients
2 protocols
Comparison
Longitudinal
Design
  • Detected differential recovery curves between protocols
  • Continuous monitoring quantified progress between visits
  • Demonstrates use of the platform inside structured rehab programs
03 · White Papers
White Papers
1 paper
Chronic venous disease gait signature pilot study
Paris · 2020
White Paper
Vascular DiseaseCase-Control
Gait Signatures in Chronic Venous Disease: A Comparative Pilot

An early-stage exploration of how chronic venous insufficiency manifests in objective gait parameters. The pilot informed subsequent protocols for cardiovascular and lower-limb-circulation indications.

15 + 15
Healthy + diseased
Case-control
Design
Pilot
Stage
  • Discriminating gait signatures identified between groups
  • Foundation for further work in cardiovascular indications
  • Presented to specialist clinical audience in Paris
Full Evidence Dossier

Need the full bibliography?

Our scientific affairs team can share the consolidated evidence dossier — every published paper, methodology summary, and an up-to-date bibliography for procurement, regulatory, and academic review.