Applied research in sensors, human movement and signal processing.

Rightstep Health conducts research and experimental engineering focused on measuring and interpreting biomechanical signals.

Our work combines wearable and body-mounted sensors, signal processing, data analysis and software engineering to investigate human movement, mechanical loading and musculoskeletal health.

Our areas of research and development include:

• wearable accelerometry and movement sensing
• biomechanical and musculoskeletal signal analysis
• human movement and gait analysis
• time-domain and frequency-domain signal processing
• measurement of mechanical loading across body segments
• sensor placement and signal attenuation
• validation against reference measurements such as ground reaction forces
• feature extraction and algorithm development
• reproducible research data analysis
• experimental joint vibration sensing and vibroarthrography

This research developed a method for estimating loading rate from acceleration signals in the frequency domain.

The method separates active movement and impact-loading components into frequency bands, allowing mechanical loading to be examined at specific body locations rather than relying only on measurements taken at the point of ground contact.

The study analysed acceleration measurements from the feet, shanks, thighs and pelvis alongside ground reaction force data during walking.

Read the publication on PubMed

Our research and experimental engineering are supported by Nexus N3, our open tooling platform for sensor integration, data acquisition, edge processing and research workflows.

Nexus N3 provides reusable hardware, software and developer tools for connecting sensors, capturing data and developing sensor-driven research and operational systems.

Repositories published through this organisation may include:

• analysis code supporting published research
• notebooks for reproducing research results
• processing pipelines for accelerometer and vibration signals
• implementations of time-domain and frequency-domain methods
• signal visualisation and quality-assessment tools
• experimental sensing hardware and software
• authorised, appropriately de-identified or open research datasets
• early experimental work in vibroarthrography and joint vibration analysis

Each repository will describe its research question, methodology, data sources, assumptions and known limitations.

Raw sensor data is only the starting point.

Our research explores how acceleration, vibration and related biomechanical signals can be transformed into measures that describe movement, loading and the response of different parts of the body.

This includes investigating:

• which parts of a signal represent active movement or impact
• how information is distributed across frequency bands
• how signals change between body locations
• how sensor-derived measurements relate to established reference methods
• whether measurements remain reliable outside controlled laboratory environments

Public repositories in this organisation primarily contain research and experimental work.

Unless explicitly stated otherwise, software, algorithms, datasets and analyses published here:

• have not been clinically validated
• are not medical devices
• are not intended for clinical diagnosis or treatment
• should not be used as a substitute for professional medical judgement

Results should be interpreted within the scope and limitations documented by each project.

Research data will only be published where its release is ethically, legally and contractually permitted.

Public data will be open, synthetic, appropriately de-identified, anonymised or otherwise specifically authorised for release.

Learn more at rightstep-health.com.