Movesense Data Types

Learn more about the types of physiological data that can be collected with Movesense sensors and Labfront.

Movesense's cutting-edge wearable sensors are capable of capturing ECG, heart rate, heart rate variability, and movement, making them suitable for nearly any sports and wellness use case – and for a bunch of innovative purposes beyond just sports! 

In this article we'll cover:


🏃 Motion Measurements

With Labfront and Movesense, measure any type of movement with high-resolution 9-axis motion tracking. Get 3-axis accelerometer data, 3-axis gyroscope data, and 3-axis magnetometer data all synchronized in the same data file, making it easier to process. 

Customize your sampling rate, from 12.5 Hz to 208 Hz. 

Accelerometer (3-axis)

Measures linear acceleration, meaning it can detect changes in speed or direction.

Gyroscope (3-axis)

Measures rotational velocity, which indicates changes in orientation or angular movement.

Magnetometer (3-axis)

Measures magnetic field strength, which can help determine the device's orientation with respect to the Earth's magnetic field.


👀  View how Movesense data is organized in Labfront→



Movesense's ECG data can be used for heart rate monitoring, arrhythmia detection, heart rate variability analysis, exercise performance analysis, and cardiac event monitoring.

To use the heart rate function (used for things like heart rate variability) the Movesense device will need to be used with the chest band accessory or chest patch. 



The Movesense Medical sensor is classified as a Class IIa medical device according to MDR 2017/745.


RR Interval

Heart rate interval (also known as RRI/IBI/BBI) is the time between each individual heartbeat. 

Sampling rate: Each beat

ECG Waveform

High-resolution electrocardiogram (ECG) data is the gold standard for heart rate monitoring.

Sampling Rate: 125~500 Hz


👀  View our documentation on Movesense data types and descriptions→  



The Movesense Medical sensor is classified as a Class IIa medical device according to MDR 2017/745.


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