Journal of Healthcare Engineering

Inertial Measurement Units for Human Body Monitoring, Healthcare, and Sports


Publishing date
01 Aug 2019
Status
Published
Submission deadline
22 Mar 2019

1Università Politecnica delle Marche, Ancona, Italy

2Université Libre de Bruxelles, Brussels, Belgium


Inertial Measurement Units for Human Body Monitoring, Healthcare, and Sports

Description

In the last few years, wearable technologies have increasingly gained importance in biomedical research, being unobtrusive and minimally intrusive for the subject. In particular, inertial measurement units (IMU) showed an increasing role in human movement assessment, allowing the measurement of a number of movement related parameters outside of instrumented laboratories. Based on these characteristics, IMUs have been used for assessing balance and gait parameters in pathological subjects, in order to evaluate disease development and therapy outcomes. Further, they found a significant increase in sports related applications, allowing to characterize athletic performance and quantify training results and improvements.

However, the specific features of each considered pathology or motor task lead to a large number of possible approaches regarding dedicated filtering techniques, integration of accelerometers, gyroscope and magnetometer signals and the optimal experimental setup in terms of number of IMUs, their positioning on human body, and signals treatment.

This special issue encourages the submission of original research articles presenting novel techniques and applications of inertial measurement units in the area of movement analysis. Authors are encouraged to submit articles dealing with filtering techniques and signal treatment procedures for IMUs signals, as well as applications in clinical and sports related scenarios. Particular attention will be devoted to inertial measurement units' application to pathological subjects and rehabilitation assessment.

Potential topics include but are not limited to the following:

  • Novel filtering techniques
  • Integration of accelerometer, gyroscope, and magnetometer signals
  • Influence of number and position of sensors on measure performance
  • Novel protocols dedicated to specific motor tasks
  • Real-life applications of IMUs
  • Monitoring in healthcare
  • Application for specific sport motor tasks

Articles

  • Special Issue
  • - Volume 2020
  • - Article ID 8973010
  • - Research Article

Relationship between Lower Limb Kinematics and Upper Trunk Acceleration in Recreational Runners

Laura Simoni | Silvia Pancani | ... | Guido Pasquini
  • Special Issue
  • - Volume 2019
  • - Article ID 5674673
  • - Research Article

Design of a Remote Real-Time Monitoring System for Multiple Physiological Parameters Based on Smartphone

Noman Q. Al-Naggar | Husam Mohammed Al-Hammadi | ... | Zakarya Ali AL-Shaebi
  • Special Issue
  • - Volume 2019
  • - Article ID 9816961
  • - Research Article

Comparison of a Low-Cost Miniature Inertial Sensor Module and a Fiber-Optic Gyroscope for Clinical Balance and Gait Assessments

Daniel Roetenberg | Claudia Höller | ... | John H. Allum
  • Special Issue
  • - Volume 2019
  • - Article ID 4580645
  • - Research Article

Design and Validation of Multichannel Wireless Wearable SEMG System for Real-Time Training Performance Monitoring

Serkan Örücü | Murat Selek
  • Special Issue
  • - Volume 2019
  • - Article ID 1614963
  • - Research Article

Classification and Assessment of the Patelar Reflex Response through Biomechanical Measures

Yolocuauhtli Salazar-Muñoz | G. Angelina López-Pérez | ... | Leonardo Trujillo
  • Special Issue
  • - Volume 2019
  • - Article ID 9873430
  • - Research Article

Consistency of Outputs of the Selected Motion Acquisition Methods for Human Activity Recognition

Magdalena Smoleń
  • Special Issue
  • - Volume 2019
  • - Article ID 7681237
  • - Research Article

Wearable Sensors Integrated with Virtual Reality: A Self-Guided Healthcare System Measuring Shoulder Joint Mobility for Frozen Shoulder

Jianjun Cui | Shih-Ching Yeh | Si-Huei Lee
  • Special Issue
  • - Volume 2019
  • - Article ID 9497151
  • - Research Article

Registration and Analysis of Acceleration Data to Recognize Physical Activity

Marcin Kołodziej | Andrzej Majkowski | ... | Dariusz Sawicki

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