IMU

Accurately quantifying movement in water has been a long-standing challenge in aquatic rehabilitation and hydrotherapy. While water-based exercise is widely used for injury recovery, performance assessment has traditionally relied on observation and subjective feedback rather than objective data. Good Boost, a UK-based digital health company, has taken a major step toward changing this. Their new […]

We’ve published a new ECG and IMU data logging tool for the Movesense Flash sensor, designed to make offline data recording simpler and more accessible for developers, researchers, and product teams. The new Movesense Flash Datalogger GUI allows you to configure and record single-channel ECG, heart rate, and inertial measurement data (IMU) directly on the […]

Movesense welcomes the research project of Prof. Giovanni Salvatore and master’s student Alessandro Boldrin from the Supervenice unit at Ca’Foscari University of Venice to join the Movesense Academic Program. The project related to seismocardiography (SCG) aims to investigate how the Movesense MD sensor, with its integrated ECG and inertial sensing capabilities, could be used not only […]

A recent study published in the Journal of Biomechanics shows that Movesense sensor, combined with optimized analysis algorithms, can measure step time and gait asymmetry with accuracy comparable to a laboratory-installed force-plate system. The article, Validation of step time and asymmetry detection algorithm in high-intensity running with Movesense IMU (Gómez et al., 2025), provides strong […]

GoodLife Technology is a Finnish expert in digital training solutions for physical rehabilitation and well-being. GoodLife is releasing GoodLife Monitor, an innovative Movesense-powered application that provides healthcare professionals with round-the-clock visibility into patients’ daily activity, circadian rhythms, and rest. The solution supports recovery for individuals with mobility impairments through personalized, time-specific goals that encourage regular movement […]

Researchers of Aalto University, Espoo, Finland, have published a new open IMU dataset titled StrengthSense: A Dataset of IMU Signals Capturing Everyday Strength-Demanding Activities, a valuable resource for Movesense Developers. Aalto Wearable Systems Lab scientists Zeyu Yang, Yu Xiao, Sara Kutkova and Clayton Leite shared the results of their work via the open EU research […]

Human movement analysis is commonly based on data recorded with inertial measurement unit (IMU) sensors. The IMU data can be used for an algorithmic detection of different postures and movements. This serves for more detailed assessments of complex behaviors, such as daily activities. Studies on human behavior in real-life environments need to find a balance […]

Human movement analysis is a rapidly evolving field of research and development with a wide range of practical applications. It is especially accelerated by capable wearable sensors and efficient and easy-to-use machine learning tools. New wearable sensors like Movesense are lightweight and unobtrusive to wear in daily life as well as during any kind of […]