Lower Limb Motion Estimation Using Ultrasound Imaging: A Framework for Assistive Device Control

Jahanandish, Mohammad Hassan; Fey, Nicholas P.; Hoyt, Kenneth

doi:10.1109/jbhi.2019.2891997

Cited by 54 publications

(20 citation statements)

References 50 publications

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“…Existing literature has successfully shown the effectiveness of using uni-modal US imaging features to estimate or predict joint motion. For example, Jahanandish et al [29] extracted five US features of the rectus femoris [47] used the nearest neighbor classifier to create mappings between changes in the US echogenicity of forearm muscles and finger movements. In their recent work [23], Pearson's correlation coefficient was used between the rest frame and other US frames in the motion sequence to classify volitional motion intent.…”

Section: Discussionmentioning

confidence: 99%

“…Compared to the A-mode US signal, the B-mode US imaging-based sensing interface has the advantages of a high signal-to-noise ratio and directly visualizing morphology deformation. Studies in [10], [26]- [29] extracted a variety of morphological and functional features of B-mode US imaging including, pennation angle (PA), fascicle length (FL), muscle thickness, cross-sectional area, echogenicity, tissue displacement or strain, and tissue optical flow, to represent the muscle deformation changes and predict human joints' postures or volitional motion.…”

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confidence: 99%

“…The majority of the current studies related to the use of sEMG signals or US signals for the human limb motion estimation focused on upper extremities [22]- [25], [30], [31]. However, a few recent studies focused on continuous knee joint motion estimation [29], [32], and ankle joint motion prediction using sEMG or US signals [33], [34]. These studies mainly used uni-modal bio-signals, i.e., either use features from sEMG signals or US signals, to estimate or predict discrete joint postures or continuous joint motion.…”

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confidence: 99%

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A Dual-Modal Approach Using Electromyography and Sonomyography Improves Prediction of Dynamic Ankle Movement: A Case Study

Zhang

Iyer

Sun

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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For decades, surface electromyography (sEMG) has been a popular non-invasive bio-sensing technology for predicting human joint motion. However, cross-talk, interference from adjacent muscles, and its inability to measure deeply located muscles limit its performance in predicting joint motion. Recently, ultrasound (US) imaging has been proposed as an alternative non-invasive technology to predict joint movement due to its high signal-to-noise ratio, direct visualization of targeted tissue, and ability to access deep-seated muscles. This paper proposes a dual-modal approach that combines US imaging and sEMG for predicting volitional dynamic ankle dorsiflexion movement. Three feature sets: 1) a uni-modal set with four sEMG features, 2) a uni-modal set with four US imaging features, and 3) a dual-modal set with four dominant sEMG and US imaging features, together with measured ankle dorsiflexion angles, were used to train multiple machine learning regression models. The experimental results from a seated posture and five walking trials at different speeds, ranging from 0.50 m/s to 1.50 m/s, showed that the dual-modal set significantly reduced the prediction root mean square errors (RMSEs). Compared to the uni-modal sEMG feature set, the dual-modal set reduced RMSEs by up to 47.84% for the seated posture and up to 77.72% for the walking trials. Similarly, when compared to the US imaging feature set, the dual-modal set reduced RMSEs by up to 53.95% for the seated posture and up to 58.39% for the walking trials. The findings show that potentially the dual-modal sensing approach can be used as a superior sensing modality to predict human intent of a continuous motion and implemented for volitional control of clinical rehabilitative and assistive devices. Index Terms-B-mode ultrasound imaging, surface electromyography, machine learning regression, dynamic ankle dorsiflexion motion, human limb intent I. INTRODUCTIONWeakened function or dysfunction of the tibialis anterior (TA) muscle, which is the primary contributing muscle for

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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A Dual-Modal Approach Using Electromyography and Sonomyography Improves Prediction of Dynamic Ankle Movement: A Case Study

Zhang

Iyer

Sun

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…This allows a measurement of the internal tissue thickness even for deeper muscle [ 61 , 62 ]. Ultrasound imaging has been widely used in the assessment of skeletal muscle function and tracking the muscle thickness changes during static and dynamic contractions [ 61 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 ]. These studies were based on B-mode ultrasound images captured by a clinical ultrasound imaging system with an ultrasound imaging probe composed of multiple-element piezoelectric ultrasonic transducer (UT).…”

Section: Introductionmentioning

confidence: 99%

Ultrasound Measurement of Skeletal Muscle Contractile Parameters Using Flexible and Wearable Single-Element Ultrasonic Sensor

AlMohimeed

Ono

2020

Sensors

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Skeletal muscle is considered as a near-constant volume system, and the contractions of the muscle are related to the changes in tissue thickness. Assessment of the skeletal muscle contractile parameters such as maximum contraction thickness ( T h ), contraction time ( T c ), contraction velocity ( V c ), sustain time ( T s ), and half-relaxation ( T r ) provides valuable information for various medical applications. This paper presents a single-element wearable ultrasonic sensor (WUS) and a method to measure the skeletal muscle contractile parameters in A-mode ultrasonic data acquisition. The developed WUS was made of double-layer polyvinylidene fluoride (PVDF) piezoelectric polymer films with a simple and low-cost fabrication process. A flexible, lightweight, thin, and small size WUS would provide a secure attachment to the skin surface without affecting the muscle contraction dynamics of interest. The developed WUS was employed to monitor the contractions of gastrocnemius (GC) muscle of a human subject. The GC muscle contractions were evoked by the electrical muscle stimulation (EMS) at varying EMS frequencies from 2 Hz up to 30 Hz. The tissue thickness changes due to the muscle contractions were measured by utilizing a time-of-flight method in the ultrasonic through-transmission mode. The developed WUS demonstrated the capability to monitor the tissue thickness changes during the unfused and fused tetanic contractions. The tetanic progression level was quantitatively assessed using the parameter of the fusion index (FI) obtained. In addition, the contractile parameters ( T h , T c , V c , T s , and T r ) were successfully extracted from the measured tissue thickness changes. In addition, the unfused and fused tetanus frequencies were estimated from the obtained FI-EMS frequency curve. The WUS and ultrasonic method proposed in this study could be a valuable tool for inexpensive, non-invasive, and continuous monitoring of the skeletal muscle contractile properties.

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“…Ultrasound imaging has been used widely in the assessment of skeletal muscle function as well as tracking the muscle thickness changes during static and dynamic contractions [66,[118][119][120][121][122][123][124][125][126][127][128][129][130][131][132]. Many studies have demonstrated the use of ultrasound images to detect the changes of muscle thickness [133][134][135], pennation angle [136,137], cross-sectional area [138], and muscle fascicle length [139].…”

Section: Ultrasound Imagingmentioning

confidence: 99%

Design and Construction of a Double-Layer PVDF Wearable Ultrasonic Sensor for the Quantitative Assessment of Muscle Contractile Properties

AlMohimeed¹

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Assessment of the skeletal muscle contractile properties provides valuable information for various medical applications. This thesis presents the development of a wearable ultrasonic sensor (WUS) and a method to measure the skeletal muscle contractile parameters.The proposed WUS was made of flexible polyvinylidene fluoride (PVDF) piezoelectric polymer film. A double-layer PVDF configuration was proposed to improve ultrasonic performance such as ultrasound signal strength. In order to study the double-layer PVDF WUS performance for its design consideration, a formulation of a numerical simulation model for the double-layer PVDF WUS was derived, based on Mason's equivalent circuit model of piezoelectric resonators. The double-layer PVDF configuration and the effects of non-piezoelectric layers on ultrasonic performance, such as backing, bonding, and electrode layers, were studied in detail using the simulation model developed to obtain a guideline for the design and construction of double-layer PVDF WUS. The construction procedure of the proposed design of the double-layer PVDF WUS was simple and relatively low-cost.The experimental evaluation showed the improved ultrasound performance of the developed double-layer PVDF WUS. The flexibility, lightweight, thinness, and small size of the double-layer PVDF WUS enable a steady attachment to the skin surface without affecting the underlying tissue motion in the area of interest. Such features could reduce the motion artifacts in the ultrasound measurement of tissue thickness. The developed double-layer PVDF WUS was tested for in vivo measurements of the skeletal muscle contractile parameters.Comparative measurements of the electrically-evoked static contractions of a skeletal muscle i iii Table of Contents iv List of Abbreviations xxvii List of Symbols xxxi List of AbbreviationsAcronym Definition A-mode Amplitude mode ACL Anterior cruciate ligament AlN Aluminium nitride B-mode Brightness mode CMUT Capacitive micromachined ultrasound transducer CNT Carbon nanotube COPD Chronic obstructive pulmonary disease CP Cerebral palsy CTT1/2 Contraction time to half tetanic CV Coefficient of variation DAQ Data Acquisition

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Lower Limb Motion Estimation Using Ultrasound Imaging: A Framework for Assistive Device Control

Cited by 54 publications

References 50 publications

A Dual-Modal Approach Using Electromyography and Sonomyography Improves Prediction of Dynamic Ankle Movement: A Case Study

A Dual-Modal Approach Using Electromyography and Sonomyography Improves Prediction of Dynamic Ankle Movement: A Case Study

Ultrasound Measurement of Skeletal Muscle Contractile Parameters Using Flexible and Wearable Single-Element Ultrasonic Sensor

Design and Construction of a Double-Layer PVDF Wearable Ultrasonic Sensor for the Quantitative Assessment of Muscle Contractile Properties

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