A practical step length algorithm using lower limb angular velocities

Allseits, Eric; Agrawal, Vibhor; Lučarević, Jennifer; Gailey, Robert; Gaunaurd, Ignacio; Bennett, Christopher L.

doi:10.1016/j.jbiomech.2017.11.010

Cited by 30 publications

(18 citation statements)

References 39 publications

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“…Various motion analyses of the lower extremities using a gyroscope and accelerometer have been reported [ 23 – 26 ]. In some recent reports, a gyroscope was used to evaluate upper extremity motions in patients with neuromuscular disorders, such as Parkinson’s disease [ 27 , 28 ] or Duchenne muscular dystrophy [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

A new method of measuring the thumb pronation and palmar abduction angles during opposition movement using a three-axis gyroscope

et al. 2018

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BackgroundThumb opposition is vital for hand function and involves pronation and palmar abduction. The improvement of pronation is often used as one of the evaluation items of the opponensplasty method for severe carpal tunnel syndrome. However, most of the studies used substitution evaluation methods for measurement of the pronation angle. Thus, there is still no appropriate method for measuring thumb pronation angle accurately in carpal tunnel syndrome patients.In recent reports, a wearable gyroscope was used to evaluate upper extremity motions and it can be possibly used for accurate measurement of the thumb pronation angle along the three-dimensionally moving bone axis.Thus, we investigated the reliability of measuring thumb pronation using a gyroscope and evaluated whether this method can be used to detect opposition impairment.MethodsThe participants were volunteers with unaffected upper limbs (32 hands) and patients with carpal tunnel syndrome (27 hands). The pronation and palmar abduction angles during opposition movements were measured using a three-axis gyroscope that included a three-axis accelerometer. The gyroscope was fixed onto the first metacarpal bone and the thumb phalanx.ResultsThe pronation and palmar abduction angles of the metacarpal bone and the palmar abduction angles of the phalanx significantly decreased in the carpal tunnel syndrome group. The pronation angle of the metacarpal bone during opposition movement peaked later than the palmar abduction angle in all hands.ConclusionsWe were able to measure the thumb pronation and palmar abduction angles using the three-axis gyroscope, and this tool was able to detect impairments of thumb opposition due to carpal tunnel syndrome. This could be a tool for measuring thumb and finger angles and for detecting impairments caused by various diseases.

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Section: Introductionmentioning

confidence: 99%

A new method of measuring the thumb pronation and palmar abduction angles during opposition movement using a three-axis gyroscope

et al. 2018

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“…As shown in Figure 3 , the GO algorithm utilizes knowledge of gait events to reliably detect the zero-crossing prior to the start of knee flexion and apply a ZAU derived from a characteristic peak in the knee angular velocity to every stride to compensate for integratory drift. A zero-crossing detection algorithm is in the OFF position until MSt is detected using the shank angular velocity signal [ 4 ]. Once MSt is detected, the algorithm waits until the minimum prior to TO is detected and takes the most recent positive to negative zero-crossing of the KAV signal as the point where the knee angle is reset to zero.…”

Section: Methodsmentioning

confidence: 99%

“…This paradigm estimates knee angle as the relative difference in the extrapolated shank and thigh orientations. Such over-specification of sensor orientation in three-dimensional space is inappropriate for clinical, continuous monitoring applications [ 3 , 4 ]. Additionally, sensor placement fidelity and calibration are essential in 3DGA applications and become problematic in user driven data acquisition paradigms.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Estimating Knee Angle Using Two Leg-Mounted Gyroscopes for Continuous Monitoring with Mobile Health Devices

Allseits

Kim

Bennett

et al. 2018

Sensors

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Tele-rehabilitation of patients with gait abnormalities could benefit from continuous monitoring of knee joint angle in the home and community. Continuous monitoring with mobile devices can be restricted by the number of body-worn sensors, signal bandwidth, and the complexity of operating algorithms. Therefore, this paper proposes a novel algorithm for estimating knee joint angle using lower limb angular velocity, obtained with only two leg-mounted gyroscopes. This gyroscope only (GO) algorithm calculates knee angle by integrating gyroscope-derived knee angular velocity signal, and thus avoids reliance on noisy accelerometer data. To eliminate drift in gyroscope data, a zero-angle update derived from a characteristic point in the knee angular velocity is applied to every stride. The concurrent validity and construct convergent validity of the GO algorithm was determined with two existing IMU-based algorithms, complementary and Kalman filters, and an optical motion capture system, respectively. Bland–Altman analysis indicated a high-level of agreement between the GO algorithm and other measures of knee angle.

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“…A more sophisticated method presented in [25] employs a double pendulum model comprised of an inverted double pendulum pivoting about the ground during stance and a double pendulum pivoting about the hip during swing. A four-sensor configuration is proposed to deal with the non-pendulum nature of double limb support [26]. Typically, a gait model can be driven by various combinations of direct or indirect gyroscope measurements, with the sensors attached to the subject's shank, thigh, or lower lumbar spine near the body's center of mass (COM), etc.…”

Section: Step Lengthsmentioning

confidence: 99%

Applications of MEMS Gyroscope for Human Gait Analysis

Zhao¹,

Qiu²,

Wang³

et al. 2020

Gyroscopes - Principles and Applications

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After decades of development, quantitative instruments for human gait analysis have become an important tool for revealing underlying pathologies manifested by gait abnormalities. However, the gold standard instruments (e.g., optical motion capture systems) are commonly expensive and complex while needing expert operation and maintenance and thereby be limited to a small number of specialized gait laboratories. Therefore, in current clinical settings, gait analysis still mainly relies on visual observation and assessment. Due to recent developments in microelectromechanical systems (MEMS) technology, the cost and size of gyroscopes are decreasing, while the accuracy is being improved, which provides an effective way for qualifying gait features. This chapter aims to give a close examination of human gait patterns (normal and abnormal) using gyroscope-based wearable technology. Both healthy subjects and hemiparesis patients participated in the experiment, and experimental results show that foot-mounted gyroscopes could assess gait abnormalities in both temporal and spatial domains. Gait analysis systems constructed of wearable gyroscopes can be more easily used in both clinical and home environments than their gold standard counterparts, which have few requirements for operation, maintenance, and working environment, thereby suggesting a promising future for gait analysis.

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A practical step length algorithm using lower limb angular velocities

Cited by 30 publications

References 39 publications

A new method of measuring the thumb pronation and palmar abduction angles during opposition movement using a three-axis gyroscope

A new method of measuring the thumb pronation and palmar abduction angles during opposition movement using a three-axis gyroscope

A Novel Method for Estimating Knee Angle Using Two Leg-Mounted Gyroscopes for Continuous Monitoring with Mobile Health Devices

Applications of MEMS Gyroscope for Human Gait Analysis

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