Data Analysis - Data Export

Precision Research Begins with Reliable, Measurable Outcomes

As a researcher, you play a critical role in advancing rehabilitation science and validating new methods of care. Whether your focus is orthopedics, neurology, sports medicine, or movement science, your studies require accurate, repeatable data to support publication, peer review, and clinical translation.

Kinvent’s connected sensor technology delivers standardized, high-resolution biomechanical data that supports rigorous experimental protocols and real-world application.

Why Researchers Are Turning to Connected Rehab Technology

Traditional rehabilitation relies on subjective observations, manual strength testing, and therapist-reported outcomes. While informative, these methods often lack the objectivity, consistency, and scalability demanded by modern research. Kinvent addresses this gap by providing:

  • Real-time functional assessments aligned with research endpoints
  • Quantitative tracking of strength, balance, and mobility over time
  • Repeatable, protocol-based data collection for improved study reliability
  • Seamless data export for statistical analysis and integration into research workflows

Advance Rehabilitation Research with Kinvent

The Connected Solution for Objective Data Collection

Structure Studies Across the Full Rehabilitation Timeline

Kinvent enables consistent data tracking through all rehab stages:

  • Baseline: Capture pre-intervention strength, mobility, and balance metrics.
  • Midpoint: Monitor progress, spot recovery trends, and adjust interventions in real time.
  • Outcome: Validate return-to-function with data-driven results and performance comparisons.

Validated Tools for Research Precision

Kinvent’s wireless, medically validated devices support strength, balance, motion, and EMG studies across clinical and sports domains.

  • Dynamometers – Measure strength and symmetry across joints

  • Force Plates – Assess balance, sway, and load distribution

  • Motion & EMG Sensors – Track joint angles and muscle activation

All data is visualized in real time and exportable for analysis in MATLAB, SPSS, R, and more.

Trusted by Leading Research Institutions and Clinical Labs

Kinvent is used by: Hospitals and academic medical centers, Rehabilitation science and kinesiology departments, Research labs focused on human movement and biomechanics, Interdisciplinary studies in physical therapy and sports medicine

All tools are CE-marked and FDA registered, regularly updated, and supported by a team familiar with academic workflows.

Research Areas Powered by Kinvent Data

Kinvent supports a broad range of studies with objective, actionable metrics:

  • Orthopedics – Track recovery post-ACL, tendon repair, or joint replacement

  • Neurology – Assess motor recovery, proprioception, and fall risk in stroke or Parkinson’s

  • Sports Science – Model return-to-play, monitor asymmetries, and optimize training loads

  • Geriatrics – Evaluate fall risk, frailty, and mobility in aging populations

Researcher Benefits: Accuracy, Reproducibility, and Data Integrity

With Kinvent, you gain:

  • High-resolution, repeatable biomechanical data
  • Consistent testing procedures across participants and sites
  • Tools to support multi-center or longitudinal studies
  • Visual data outputs for participant feedback or research dissemination
  • Clinical-grade hardware with academic-level data quality

Whether you’re conducting controlled trials or exploratory pilot studies, Kinvent helps you collect the kind of data that stands up to peer review and regulatory scrutiny.

Turn Clinical Questions into Research Outcomes with Kinvent

Kinvent empowers researchers to design smarter studies, validate interventions, and publish with confidence. With our connected technology, you’re not only observing rehabilitation—you’re measuring it, quantifying it, and advancing the field.
Collect Smarter Data. Validate Recovery. Advance Science—with Kinvent.

Solutions Sensors Based On Your Needs

We offer a comprehensive range of medical sensors delivering valuable insights directly interpretable by the physiotherapist