4.7 Article

Miniature Low-Power Inertial Sensors: Promising Technology for Implantable Motion Capture Systems

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNSRE.2014.2324825

Keywords

Implantable sensors; inertial measurement unit (IMU); inertial sensors motion capture; neuroprosthesis

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Biomedical

Semiparametric Identification of Human Arm Dynamics for Flexible Control of a Functional Electrical Stimulation Neuroprosthesis

Eric M. Schearer, Yu-Wei Liao, Eric J. Perreault, Matthew C. Tresch, William D. Memberg, Robert F. Kirsch, Kevin M. Lynch

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2016)

Article Neurosciences

Feasibility of using combined EMG and kinematic signals for prosthesis control: A simulation study using a virtual reality environment

Dimitra Blana, Theocharis Kyriacou, Joris M. Lambrecht, Edward K. Chadwick

JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY (2016)

Article Engineering, Biomedical

Feedback control policies employed by people using intracortical brain-computer interfaces

Francis R. Willett, Chethan Pandarinath, Beata Jarosiewicz, Brian A. Murphy, William D. Memberg, Christine H. Blabe, Jad Saab, Benjamin L. Walter, Jennifer A. Sweet, Jonathan P. Miller, Jaimie M. Henderson, Krishna V. Shenoy, John D. Simeral, Leigh R. Hochberg, Robert F. Kirsch, A. Bolu Ajiboye

JOURNAL OF NEURAL ENGINEERING (2017)

Article Engineering, Biomedical

A Comparison of Intention Estimation Methods for Decoder Calibration in Intracortical Brain-Computer Interfaces

Francis R. Willett, Brian A. Murphy, Daniel Young, William D. Memberg, Christine H. Blabe, Chethan Pandarinath, Brian Franco, Jad Saab, Benjamin L. Walter, Jennifer A. Sweet, Jonathan P. Miller, Jaimie M. Henderson, Krishna V. Shenoy, John D. Simeral, Beata Jarosiewicz, Leigh R. Hochberg, Robert F. Kirsch, A. Bolu Ajiboye

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2018)

Article Engineering, Biomedical

Training an Actor-Critic Reinforcement Learning Controller for Arm Movement Using Human-Generated Rewards

Kathleen M. Jagodnik, Philip S. Thomas, Antonie J. van den Bogert, Michael S. Branicky, Robert F. Kirsch

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2017)

Article Engineering, Biomedical

Signal-independent noise in intracortical brain-computer interfaces causes movement time properties inconsistent with Fitts' law

Francis R. Willett, Brian A. Murphy, William D. Memberg, Christine H. Blabe, Chethan Pandarinath, Benjamin L. Walter, Jennifer A. Sweet, Jonathan P. Miller, Jaimie M. Henderson, Krishna V. Shenoy, Leigh R. Hochberg, Robert F. Kirsch, A. Bolu Ajiboye

JOURNAL OF NEURAL ENGINEERING (2017)

Article Medicine, General & Internal

Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration

A. Bolu Ajiboye, Francis R. Willett, Daniel R. Young, William D. Memberg, Brian A. Murphy, Jonathan P. Miller, Benjamin L. Walter, Jennifer A. Sweet, Harry A. Hoyen, Michael W. Keith, P. Hunter Peckham, John D. Simeral, John P. Donoghue, Leigh R. Hochberg, Robert F. Kirsch

LANCET (2017)

Article Engineering, Biomedical

Signal processing methods for reducing artifacts in microelectrode brain recordings caused by functional electrical stimulation

D. Young, F. Willett, W. D. Memberg, B. Murphy, B. Walter, J. Sweet, J. Miller, L. R. Hochberg, R. F. Kirsch, A. B. Ajiboye

JOURNAL OF NEURAL ENGINEERING (2018)

Article Engineering, Biomedical

Rapid calibration of an intracortical brain-computer interface for people with tetraplegia

David M. Brandman, Tommy Hosman, Jad Saab, Michael C. Burkhart, Benjamin E. Shanahan, John G. Ciancibello, Anish A. Sarma, Daniel J. Milstein, Carlos E. Vargas-Irwin, Brian Franco, Jessica Kelemen, Christine Blabe, Brian A. Murphy, Daniel R. Young, Francis R. Willett, Chethan Pandarinath, Sergey D. Stavisky, Robert F. Kirsch, Benjamin L. Walter, A. Bolu Ajiboye, Sydney S. Cash, Emad N. Eskandar, Jonathan P. Miller, Jennifer A. Sweet, Krishna V. Shenoy, Jaimie M. Henderson, Beata Jarosiewicz, Matthew T. Harrison, John D. Simeral, Leigh R. Hochberg

JOURNAL OF NEURAL ENGINEERING (2018)

Article Engineering, Biomedical

Stable, three degree-of-freedom myoelectric prosthetic control via chronic bipolar intramuscular electrodes: a case study

Hendrik Adriaan Dewald, Platon Lukyanenko, Joris M. Lambrecht, James Robert Anderson, Dustin J. Tyler, Robert F. Kirsch, Matthew R. Williams

JOURNAL OF NEUROENGINEERING AND REHABILITATION (2019)

Article Engineering, Biomedical

Stable, simultaneous and proportional 4-DoF prosthetic hand control via synergy-inspired linear interpolation: a case series

Platon Lukyanenko, Hendrik Adriaan Dewald, Joris Lambrecht, Robert F. Kirsch, Dustin J. Tyler, Matthew R. Williams

Summary: The study introduces a new prosthetic hand controller combining linear interpolation, muscle synergy framework, and sufficient ciEMG channels which allows stable, intuitive, proportional, and continuous control in high Degrees-of-Freedom. Experiment results show that the controller can maintain stability for up to ten months in 3-DoF and nine months in 4-DoF without the need for retraining or at-home practice.

JOURNAL OF NEUROENGINEERING AND REHABILITATION (2021)

Article Engineering, Biomedical

Restoring continuous finger function with temporarily paralyzed nonhuman primates using brain-machine interfaces

Samuel R. Nason-Tomaszewski, Matthew J. Mender, Eric Kennedy, Joris M. Lambrecht, Kevin L. Kilgore, Srinivas Chiravuri, Nishant Ganesh Kumar, Theodore A. Kung, Matthew S. Willsey, Cynthia A. Chestek, Parag G. Patil

Summary: In this study, a low-power brain-controlled functional electrical stimulation (BCFES) system was used to restore continuous volitional control of finger positions to a monkey with a temporarily paralyzed hand. The results showed that BCFES can successfully restore continuous finger function during temporary paralysis using existing low-power technologies.

JOURNAL OF NEURAL ENGINEERING (2023)

Article Engineering, Biomedical

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

Nathaniel S. Makowski, Alexandru Campean, Joris M. Lambrecht, James R. Buckett, James D. Coburn, Ronald L. Hart, Michael E. Miller, Fred W. Montague, Timothy Crish, Michael J. Fu, Kevin L. Kilgore, P. Hunter Peckham, Brian Smith

Summary: The implantable motor neuroprostheses can restore functionality by activating paralyzed muscles, and the Networked Neuroprosthesis (NNP) addresses the limitation of the traditional neuroprosthetic systems by being a fully implanted modular system. System testing showed that the NNP is functional and capable of generating stimulus pulses and recording different types of signals. Multiple clinical applications are anticipated based on the successful design, manufacturing, and testing of the NNP System.

IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS (2021)

Article Engineering, Biomedical

Powering strategies for implanted multi-function neuroprostheses for spinal cord injury

Kevin L. Kilgore, Brian Smith, Alex Campean, Ronald L. Hart, Joris M. Lambrecht, James R. Buckett, Paul Hunter Peckham

HEALTHCARE TECHNOLOGY LETTERS (2020)

Proceedings Paper Neurosciences

Quasi-Static Control of Whole-Arm Motions with FES

Eric M. Schearer, Derek N. Wolf, Robert F. Kirsch

CONVERGING CLINICAL AND ENGINEERING RESEARCH ON NEUROREHABILITATION II, VOLS 1 AND 2 (2017)

No Data Available