Tiziana Lencioni
Papers
8
Total Citations
348
H-Index
7
About
Tiziana Lencioni’s research sits at the intersection of human movement science and neurorehabilitation, with a primary focus on understanding and restoring motor function after stroke. Her work is distinguished by its rigorous, data-driven approach to characterizing both healthy and impaired movement, and by its systematic evaluation of cutting-edge rehabilitation technologies. A landmark contribution is her 2019 paper, which provides a comprehensive open-access dataset of kinematic, kinetic, and EMG data during walking and stair climbing from 50 healthy subjects aged 6 to 72 years—a resource that has garnered 181 citations and serves as a critical reference for gait analysis. Lencioni has been a leading voice in the assessment of robot-assisted therapy for post-stroke upper limb recovery, conducting multiple randomized controlled trials that demonstrate not only improvements in clinical scales but also quantifiable changes in motor control, such as muscle synergy reorganization and reduced co-contraction. Her 2020 and 2021 trials, with 58 and 54 citations respectively, are particularly influential, showing that robotic therapy can alter the neural strategies underlying arm function. By combining advanced signal processing (e.g., EMG co-contraction indices, synergy analysis) with rigorous clinical trial design, Lencioni provides the evidence base needed to move rehabilitation from subjective observation to objective, personalized intervention. Her work is essential reading for anyone interested in the science of motor recovery and the future of technology-driven neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8