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Updated: Oct 26, 2025
07:24
Home-Based Monitor for Gait and Activity Analysis
Published on: August 8, 2019
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An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing
Dinesh John, Qu Tang1, Fahd Albinali2
1Northeastern University.
Journal for the Measurement of Physical Behaviour
|July 26, 2021
Summary
A new open-source metric, the Monitor-Independent Movement Summary (MIMS-unit), standardizes physical behavior data across devices. This allows for reliable cross-study comparisons of physical activity, sedentary behavior, and sleep.
Area of Science:
- Wearable sensor technology
- Biomedical engineering
- Physical activity research
Background:
- Current acceleration summaries from motion sensors are device-specific and proprietary.
- This limits cross-study comparisons of physical behavior data (activity, sedentary, sleep).
- Existing metrics lack flexibility in device selection for research.
Purpose of the Study:
- To develop an open-source, universal acceleration summary metric.
- To account for data discrepancies between research and consumer-grade devices.
- To enable standardized analysis of physical behavior data.
Main Methods:
- Developed Monitor-Independent Movement Summary (MIMS-unit) using signal processing.
- Harmonized raw accelerometer data to remove inter-device variability.
- Applied bandpass filtering (0.2-5.0 Hz) and signal aggregation for summarization.
- Validated MIMS-units with shaker tests and human movement data.
Main Results:
- MIMS-units showed lower between-device variability than proprietary summaries.
- Demonstrated sensitivity in detecting subtle wrist movements during sedentary behavior.
- Outperformed widely used ActiGraph activity counts in specific scenarios.
Conclusions:
- Open-source MIMS-units offer device-independent summarization of high-resolution data.
- Facilitates standardization of data cleaning and analysis for physical behavior research.
- Enhances comparability of findings across studies using diverse motion sensors.
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