Jose F. Martinez-Lendech
Papers
1
Total Citations
2
H-Index
1
About
Jose F. Martinez-Lendech is a researcher focused on the intersection of biomedical signal processing and assistive robotics, with a particular emphasis on non-intrusive brain-computer interfaces. His work centers on extracting neural features from electroencephalogram (EEG) recordings to control robotic assistance systems, specifically targeting upper limb kinesthetic activities. In his most cited paper, "Extraction of features of kinesthetic activities in the upper limb from EEG recordings based on sub-band analysis with wavelet transform for the control of robotic assistance systems" (2021), Martinez-Lendech addresses the challenge of translating cortical signals into precise movement and force control for robotic aids. By employing sub-band analysis with wavelet transforms, he demonstrates how EEG data can be effectively conditioned to drive control strategies, offering a pathway toward more intuitive and responsive assistive technologies. Though his citation count is currently modest at 2, his work contributes to a growing body of literature on non-invasive neural interfaces, with potential applications in rehabilitation and human-robot interaction. Martinez-Lendech’s research is particularly valuable for students and researchers exploring how advanced signal processing can bridge the gap between brain activity and robotic actuation, paving the way for more accessible and user-friendly assistive systems.
Research Focus
Key Achievements
Top Papers
- 1