Literature DB >> 24846651

Miniature low-power inertial sensors: promising technology for implantable motion capture systems.

Joris M Lambrecht, Robert F Kirsch.   

Abstract

Inertial and magnetic sensors are valuable for untethered, self-contained human movement analysis. Very recently, complete integration of inertial sensors, magnetic sensors, and processing into single packages, has resulted in miniature, low power devices that could feasibly be employed in an implantable motion capture system. We developed a wearable sensor system based on a commercially available system-in-package inertial and magnetic sensor. We characterized the accuracy of the system in measuring 3-D orientation-with and without magnetometer-based heading compensation-relative to a research grade optical motion capture system. The root mean square error was less than 4° in dynamic and static conditions about all axes. Using four sensors, recording from seven degrees-of-freedom of the upper limb (shoulder, elbow, wrist) was demonstrated in one subject during reaching motions. Very high correlation and low error was found across all joints relative to the optical motion capture system. Findings were similar to previous publications using inertial sensors, but at a fraction of the power consumption and size of the sensors. Such ultra-small, low power sensors provide exciting new avenues for movement monitoring for various movement disorders, movement-based command interfaces for assistive devices, and implementation of kinematic feedback systems for assistive interventions like functional electrical stimulation.

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Year:  2014        PMID: 24846651     DOI: 10.1109/TNSRE.2014.2324825

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  9 in total

Review 1.  Restoring standing capabilities with feedback control of functional neuromuscular stimulation following spinal cord injury.

Authors:  Raviraj Nataraj; Musa L Audu; Ronald J Triolo
Journal:  Med Eng Phys       Date:  2017-02-15       Impact factor: 2.242

2.  Design and Testing of Stimulation and Myoelectric Recording Modules in an Implanted Distributed Neuroprosthetic System.

Authors:  Nathaniel Makowski; Alexandru Campean; Joris Lambrecht; James Buckett; James Coburn; Ronald Hart; Michael Miller; Fred Montague; Timothy Crish; Michael Fu; Kevin Kilgore; P Hunter Peckham; Brian Smith
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2021-05-25       Impact factor: 5.234

3.  Classification of Horse Gaits Using FCM-Based Neuro-Fuzzy Classifier from the Transformed Data Information of Inertial Sensor.

Authors:  Jae-Neung Lee; Myung-Won Lee; Yeong-Hyeon Byeon; Won-Sik Lee; Keun-Chang Kwak
Journal:  Sensors (Basel)       Date:  2016-05-10       Impact factor: 3.576

Review 4.  Novel Flexible Wearable Sensor Materials and Signal Processing for Vital Sign and Human Activity Monitoring.

Authors:  Amir Servati; Liang Zou; Z Jane Wang; Frank Ko; Peyman Servati
Journal:  Sensors (Basel)       Date:  2017-07-13       Impact factor: 3.576

5.  Inertial Motion Capture Costume Design Study.

Authors:  Agnieszka Szczęsna; Przemysław Skurowski; Ewa Lach; Przemysław Pruszowski; Damian Pęszor; Marcin Paszkuta; Janusz Słupik; Kamil Lebek; Mateusz Janiak; Andrzej Polański; Konrad Wojciechowski
Journal:  Sensors (Basel)       Date:  2017-03-17       Impact factor: 3.576

Review 6.  Measurement of Upper Limb Range of Motion Using Wearable Sensors: A Systematic Review.

Authors:  Corrin P Walmsley; Sîan A Williams; Tiffany Grisbrook; Catherine Elliott; Christine Imms; Amity Campbell
Journal:  Sports Med Open       Date:  2018-11-29

7.  Wearable systems for shoulder kinematics assessment: a systematic review.

Authors:  Arianna Carnevale; Umile Giuseppe Longo; Emiliano Schena; Carlo Massaroni; Daniela Lo Presti; Alessandra Berton; Vincenzo Candela; Vincenzo Denaro
Journal:  BMC Musculoskelet Disord       Date:  2019-11-15       Impact factor: 2.362

8.  Trunk Posture from Randomly Oriented Accelerometers.

Authors:  Aidan R W Friederich; Musa L Audu; Ronald J Triolo
Journal:  Sensors (Basel)       Date:  2022-10-10       Impact factor: 3.847

9.  An Open-Source 7-DOF Wireless Human Arm Motion-Tracking System for Use in Robotics Research.

Authors:  Almas Shintemirov; Tasbolat Taunyazov; Bukeikhan Omarali; Aigerim Nurbayeva; Anton Kim; Askhat Bukeyev; Matteo Rubagotti
Journal:  Sensors (Basel)       Date:  2020-05-29       Impact factor: 3.576

  9 in total

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