IMU Sensors, Techniques and Methods for Movement Analysis in the Context of Health Monitoring and Clinical Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (15 October 2022) | Viewed by 10361
Special Issue Editor
Interests: wearable sensors (IMU, GPS, PPG, EMG) for activity and mobility monitoring; signal processing; validation and usability studies
Special Issue Information
Dear Colleagues,
Wearable systems integrating multiple sensing technologies are now more than ever present in research and clinical environments. Wearable systems using inertial sensors offer unique opportunities to capture movement-related metrics that can be used as outcomes for health monitoring and clinical applications. Health monitoring and clinical applications encompass both synchronous and asynchronous use of metrics derived from IMU data in varying contexts and settings with validated algorithms. The usability of IMU-based wearable systems in these contexts and settings and the validity of the measures obtained are key to their acceptance and large-scale use. We are pleased to invite you to contribute to this Special Issue of Sensors entitled “IMU Sensors, Techniques, and Methods for Movement Analysis in the Context of Health Monitoring and Clinical Applications”. This Special Issue aims to bring together contributions concerning the use of wearable IMUs and their underlying sensors, sensing techniques, and signal processing methods and algorithms for quantitatively assessing gait, posture, joint kinematics, physical activity, energy expenditure, sleep, mood, movements disorders, assistive technologies, and their integration in the context of health monitoring and clinical applications.
We will accept contributions in the form of either full-length research papers, systematic reviews or papers reporting new results on:
- Empirical demonstration of IMU sensor data use cases and usability for health monitoring and clinical applications;
- Algorithm development with validation results leveraging IMU sensor data and other sources for health monitoring and clinical applications;
- Innovative data fusion strategies and signal processing for enhanced accuracy and precision of IMU sensor data for health monitoring and clinical applications.
Dr. Patrick Boissy
Guest Editor
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Keywords
- Wearable systems and inertial sensing
- IMU, MIMU
- Gait and joint kinematics
- Physical activity and energy expenditure
- Sleep and mood
- Movement disorders
- Assistive technologies
- Accuracy
- Precision
- Usability
- M-health
- Telehealth
- Biomechanics
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