Mr. Gustavo Pineda Ortiz Profile

Gustavo Pineda Ortiz

at Univ Nacional de Colombia

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Publications (5)

Proceedings Article | 10 December 2021 Paper

Characterizing Parkinson´s disease from gait dynamics using chaos descriptors

David Ricaurte, Gustavo Pineda Ortiz, Eduardo Romero Castro

Proceedings Volume 12088, 1208805 (2021) https://doi.org/10.1117/12.2606313

KEYWORDS: Gait analysis, Control systems, Kinematics, Chaos, Video, Statistical analysis, Complex systems, RGB color model, Medical imaging, MATLAB

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Proceedings Article | 3 January 2020 Paper

Characterizing the gait dynamic by estimating Lyapunov exponents on gait kinematic trajectories in Parkinson's disease

David Ricaurte, Gustavo Pineda, Eduardo Romero

Proceedings Volume 11330, 1133010 (2020) https://doi.org/10.1117/12.2542575

KEYWORDS: Gait analysis, Kinematics, Parkinson's disease, Statistical analysis

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Proceedings Article | 3 January 2020 Paper

Discriminating cerebral palsy by quantifying ocular motion

Jully González, Santiago Silva, Gustavo Pineda, Eduardo Romero

Proceedings Volume 11330, 1133013 (2020) https://doi.org/10.1117/12.2542576

KEYWORDS: Motion estimation, Visualization, Eye, Optical flow, Eye models, Motion models, Visual process modeling, Signal to noise ratio, Modulation, Statistical analysis

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Proceedings Article | 17 November 2017 Paper

Quantifying stimulus-response rehabilitation protocols by auditory feedback in Parkinson's disease gait pattern

Gustavo Pineda, Angélica Atehortúa, Marcela Iregui, Juan García-Arteaga, Eduardo Romero

Proceedings Volume 10572, 105720B (2017) https://doi.org/10.1117/12.2285975

KEYWORDS: Gait analysis, Video, Parkinson's disease, Basal ganglia

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External auditory cues stimulate motor related areas of the brain, activating motor ways parallel to the basal ganglia circuits and providing a temporary pattern for gait. In effect, patients may re-learn motor skills mediated by compensatory neuroplasticity mechanisms. However, long term functional gains are dependent on the nature of the pathology, follow-up is usually limited and reinforcement by healthcare professionals is crucial. Aiming to cope with these challenges, several researches and device implementations provide auditory or visual stimulation to improve Parkinsonian gait pattern, inside and outside clinical scenarios. The current work presents a semiautomated strategy for spatio-temporal feature extraction to study the relations between auditory temporal stimulation and spatiotemporal gait response. A protocol for auditory stimulation was built to evaluate the integrability of the strategy in the clinic practice. The method was evaluated in transversal measurement with an exploratory group of people with Parkinson’s (n = 12 in stage 1, 2 and 3) and control subjects (n =6). The result showed a strong linear relation between auditory stimulation and cadence response in control subjects (R=0.98 ±0.008) and PD subject in stage 2 (R=0.95 ±0.03) and stage 3 (R=0.89 ±0.05). Normalized step length showed a variable response between low and high gait velocity (0.2> R >0.97). The correlation between normalized mean velocity and stimulus was strong in all PD stage 2 (R>0.96) PD stage 3 (R>0.84) and controls (R>0.91) for all experimental conditions. Among participants, the largest variation from baseline was found in PD subject in stage 3 (53.61 ±39.2 step/min, 0.12 ± 0.06 in step length and 0.33 ± 0.16 in mean velocity). In this group these values were higher than the own baseline. These variations are related with direct effect of metronome frequency on cadence and velocity. The variation of step length involves different regulation strategies and could need others specific external cues. In conclusion the current protocol (and their selected parameters, kind of sound time for training, step of variation, range of variation) provide a suitable gait facilitation method specially for patients with the highest gait disturbance (stage 2 and 3). The method should be adjusted for initial stages and evaluated in a rehabilitation program.

Proceedings Article | 26 January 2017 Paper

Quantifying the gait pattern adaptation to auditory feedback in healthy elder adults

Gustavo Pineda, Marcela Iregui, Angélica Atehortúa , Eduardo Romero

Proceedings Volume 10160, 101600H (2017) https://doi.org/10.1117/12.2256942

KEYWORDS: Gait analysis, Temporal coherence, Phase shifts, Beam propagation method, Video, Cameras, Visualization, Biological research, Algorithm development, Image processing algorithms and systems

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