Kinematics of Gait: New Method for Angle Estimation Based on Accelerometers

Djurić-Jovičić, Milica; Jovičić, Nenad S.; Popović, Dejan B.

doi:10.3390/s111110571

Cited by 76 publications

(77 citation statements)

References 31 publications

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“…This was to establish the specificity of the protocol on inducing functional changes. Tapping data were recorded for 14 -27 s depending on the patient's ability with a wireless inertial sensor system, as described in Djuric-Jovicic et al (2011). A high-performance 12-bit digital accelerometer LIS3LV02 (SGS-Thomson Microelectronics), with Ϯ6g range of sensors was modified by displacing one triaxial accelerometer from the inertial unit box.…”

Section: Methodsmentioning

confidence: 99%

Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface

Mrachacz-Kersting

Jiang

Stevenson

et al. 2016

Journal of Neurophysiology

205

264

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Mrachacz-Kersting N, Jiang N, Stevenson AJ, Niazi IK, Kostic V, Pavlovic A, Radovanovic S, Djuric-Jovicic M, Agosta F, Dremstrup K, Farina D. Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface. J Neurophysiol 115: 1410 -1421, 2016. First published December 30, 2015 doi:10.1152/jn.00918.2015 have the potential to improve functionality in chronic stoke patients when applied over a large number of sessions. Here we evaluated the effect and the underlying mechanisms of three BCI training sessions in a double-blind sham-controlled design. The applied BCI is based on Hebbian principles of associativity that hypothesize that neural assemblies activated in a correlated manner will strengthen synaptic connections. Twenty-two chronic stroke patients were divided into two training groups. Movement-related cortical potentials (MRCPs) were detected by electroencephalography during repetitions of foot dorsiflexion. Detection triggered a single electrical stimulation of the common peroneal nerve timed so that the resulting afferent volley arrived at the peak negative phase of the MRCP (BCI associative group) or randomly (BCI nonassociative group). Fugl-Meyer motor assessment (FM), 10-m walking speed, foot and hand tapping frequency, diffusion tensor imaging (DTI) data, and the excitability of the corticospinal tract to the target muscle [tibialis anterior (TA)] were quantified. The TA motor evoked potential (MEP) increased significantly after the BCI associative intervention, but not for the BCI nonassociative group. FM scores (0.8 Ϯ 0.46 point difference, P ϭ 0.01), foot (but not finger) tapping frequency, and 10-m walking speed improved significantly for the BCI associative group, indicating clinically relevant improvements. Corticospinal tract integrity on DTI did not correlate with clinical or physiological changes. For the BCI as applied here, the precise coupling between the brain command and the afferent signal was imperative for the behavioral, clinical, and neurophysiological changes reported. This association may become the driving principle for the design of BCI rehabilitation in the future. Indeed, no available BCIs can match this degree of functional improvement with such a short intervention.

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Section: Methodsmentioning

confidence: 99%

Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface

Mrachacz-Kersting

Jiang

Stevenson

et al. 2016

Journal of Neurophysiology

205

264

View full text Add to dashboard Cite

show abstract

“…By using P-matrix, relation between the object point X in 3D space and its projected point on camera image plane is given as x the is projection point on camera 1, 2 x is the projection point on c fundamental matrix between camera 1 and 2.…”

Section: Displacement Calculation Methodsmentioning

confidence: 99%

“…x the is projection point on camera 1, 2 x is the projection point on c fundamental matrix between camera 1 and 2.…”

Section: (5)mentioning

confidence: 99%

“…5 ject coordinate, C represents the camera coordinate, 3 3 R  is the tion vector as given in equation (2). …”

Section: Stereo Camera System Conceptmentioning

confidence: 99%

“…Compared with other indirect shape estimation methods that utilize built-in strain sensors or accelerometers [1,2], estimation with a homogeneous camera system is non-intrusive and robust since it's a non-contact type method. In addition, it is superior to other non-contact methods, such as those using laser displacement sensors (LDS), because it is capable of a fullfield measurement with the use of only a single set of sensors.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance evaluation method of homogeneous stereo camera system for full-field structural deformation estimation

Yun¹,

Kim²,

Han³

et al. 2015

International Journal of Aeronautical and Space Sciences

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This study presents how we can evaluate stereo camera systems for the structural deformation monitoring. A stereo camera system, consisting of a set of stereo cameras and reflective markers attached on the structure, is introduced for the measurement and the stereo pattern recognition (SPR) method is utilized for the full-field structural deformation estimation. Performance of this measurement system depends on many parameters including types and specifications of the cameras, locations and orientations of them, and sizes and positions of markers; it is difficult to experimentally identify the effects of each parameter on the measurement performance. In this study, a simulation framework for evaluating performance of the stereo camera systems with various parameters has been developed. The maximum normalized root-mean-square (RMS) error is defined as a representative index of stereo camera system performance. A plate structure is chosen for an introductory example. Its several modal harmonic vibrations are generated and estimated in the simulation framework. Two cases of simulations are conducted to see the effects of camera locations and the resolutions of the cameras. An experimental validation is carried out for a few selected cases from the simulations. Using the simultaneous laser displacement sensor (LDS) measurements as the reference, the measurement errors are obtained and compared with the simulations.

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Use of Smartphones and Portable Media Devices for Quantifying Human Movement Characteristics of Gait, Tendon Reflex Response, and Parkinson’s Disease Hand Tremor

LeMoyne

Mastroianni²

2014

Methods in Molecular Biology

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Smartphones and portable media devices are both equipped with sensor components, such as accelerometers. A software application enables these devices to function as a robust wireless accelerometer platform. The recorded accelerometer waveform can be transmitted wireless as an e-mail attachment through connectivity to the Internet. The implication of such devices as a wireless accelerometer platform is the experimental and post-processing locations can be placed anywhere in the world. Gait was quantified by mounting a smartphone or portable media device proximal to the lateral malleolus of the ankle joint. Attributes of the gait cycle were quantified with a considerable accuracy and reliability. The patellar tendon reflex response was quantified by using the device in tandem with a potential energy impact pendulum to evoke the patellar tendon reflex. The acceleration waveform maximum acceleration feature of the reflex response displayed considerable accuracy and reliability. By mounting the smartphone or portable media device to the dorsum of the hand through a glove, Parkinson's disease hand tremor was quantified and contrasted with significance to a non-Parkinson's disease steady hand control. With the methods advocated in this chapter, any aspect of human movement may be quantified through smartphones or portable media devices and post-processed anywhere in the world. These wearable devices are anticipated to substantially impact the biomedical and healthcare industry.

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Kinematics of Gait: New Method for Angle Estimation Based on Accelerometers

Cited by 76 publications

References 31 publications

Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface

Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface

Performance evaluation method of homogeneous stereo camera system for full-field structural deformation estimation

Use of Smartphones and Portable Media Devices for Quantifying Human Movement Characteristics of Gait, Tendon Reflex Response, and Parkinson’s Disease Hand Tremor

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