Publications by authors named "Mauricio Riveras"
Article Synopsis
- Several kinematic-based algorithms, including Coordinate-Based Algorithm (CBA), Velocity-Based Algorithm (VBA), and High-Pass Filtered Algorithms (HPA), were assessed for their effectiveness in detecting gait events in individuals with unilateral transtibial amputation across different terrains.
- A study involving twelve amputee subjects walking on both level ground and slopes showed that the algorithms had a mean True Error (TE) of less than 40 ms for detecting Initial Contact (IC) and Foot Off (FO) events, which is about 6% of the stance phase duration.
- Results highlighted significant interactions between the terrain type, limb used (intact or prosthetic), and the chosen algorithm, suggesting that while all three algorithms are generally accurate for event
Subjects with unilateral transtibial amputation exhibit altered minimum toe clearance (MTC) depending on the ankle prosthesis used. It has been suggested that a limited prosthetic ankle angle could be the cause of the change. The aim of this study was to investigate the alterations in kinematics in the joints responsible for the changes in MTC when using an articulating hydraulic ankle (AHA) prosthesis compared to a nonarticulating ankle (NAA) prosthesis.
View Article and Find Full Text PDFBackground: Minimum Toe Clearance (MTC) is defined as the minimum vertical distance between the lowest point under the front part of the foot and the ground, during mid-swing. Low values of MTC and walking on inclines are both related to higher probability of tripping and falling in lower limb amputees. New prosthetic designs aim at improving MTC, especially on ramps, however the real effect on MTC still needs investigation.
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