While modulating neural activity through stimulation is an effective treatment for neurological diseases such as Parkinson's disease and essential tremor, an opportunity for improving neuromodulation… (More)
OBJECTIVE
Analysis of intra- and perioperatively recorded cortical and basal ganglia local field potentials in human movement disorders has provided great insight into the pathophysiology of diseases… (More)
The neural-based control of a robotic hand has many clinical and engineering applications. Current approaches to this problem have been limited due to a lack of understanding of the relationship… (More)
Brain-machine interface (BMI) is the latest solution to a lack of control for paralyzed or prosthetic limbs. In this paper the authors focus on the design of anatomical robotic hands that use BMI as… (More)
2013 35th Annual International Conference of the…
2013
Modulation of neural activity through electrical stimulation of tissue is an effective therapy for neurological diseases such as Parkinson's disease and essential tremor. Researchers are exploring… (More)
2011 Annual International Conference of the IEEE…
2011
The current state of neuromodulation can be cast in a classical dynamic control framework such that the nervous system is the classical “plant”, the neural stimulator is the controller,… (More)
Architectures capable of using an algorithm to modify actuation based on measured signals are often called “closed-loop” systems. While such systems are traditionally thought to rely on… (More)
The burden of neurological disease represents a large unmet need. Yet the application of medical technology to address these needs is often limited due to the lack of underlying neural data on… (More)
The neural-based control of a robotic hand has many clinical and engineering applications. Current approaches to this problem have been limited due to a lack of understanding of the relationship… (More)