Papers
6
Total Citations
226
H-Index
5
About
Patrick Ho’s research centers on the biomechanics and neural control of the human ankle, with a particular focus on characterizing its mechanical impedance—the dynamic resistance to movement—under varying muscle states. His major contributions lie in developing and applying advanced stochastic estimation methods, using the Anklebot rehabilitation robot, to quantify this impedance in multiple directions (dorsi-plantarflexion and inversion-eversion) simultaneously. His most cited work, “Multivariable static ankle mechanical impedance with relaxed muscles” (87 citations), established a foundational understanding of passive ankle mechanics. He then extended this to active conditions, as seen in his 2013 paper (72 citations), which revealed how voluntary muscle activation nonlinearly alters ankle stiffness and damping—critical insights for designing anthropomorphic lower-extremity assistive robots. By precisely measuring how the ankle’s mechanical properties change with torque and co-contraction, Ho’s work directly informs the development of more natural, responsive prostheses and exoskeletons. His cumulative citation impact (over 225 citations) underscores the value of his systematic, robot-assisted approach to unraveling the complexities of human motor control, bridging fundamental neuroscience with tangible rehabilitation engineering applications.
Research Focus
Key Achievements
Top Papers
- 1Multivariable static ankle mechanical impedance with relaxed muscles87 citations · 2011
- 2Multivariable Static Ankle Mechanical Impedance With Active Muscles72 citations · 2013
- 3
- 4Stochastic Estimation of Multi-Variable Human Ankle Mechanical Impedance25 citations · 2009
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