University of Pittsburgh

Bionic Power Inc.

Carnegie Mellon University

Douglas John Weber

Joaquin Andres Hoffer

James Maxwell Donelan

Arthur D Kuo

Qingguo Li

Robert Gaunt

Timothy Bruns

Gary Keith Fedder

O Burak Ozdoganlar

Xinyan Cui

Takashi Daniel Yoshida Kozai

Peter J Gilgunn

Wei Wang

Zhi-Hong Mao

Ramana Kumar Vinjamuri

Lee Erik Bartholomew Fisher

Methods and apparatuses for monitoring and regulating physiological states and functions are disclosed. Several embodiments include application of one or more microelectrode arrays to a dorsal root ganglion for measurement of sensory neuron activity, or stimulation of sensory reflex circuits. The methods and apparatuses can be used, for example, for monitoring or controlling bladder function in a patient.

Monitoring and regulating physiological states and functions via sensory neural inputs to the spinal cord

The present disclosure provides a method of reducing phantom limb pain or diabetic neuropathy pain, and increasing prosthetic control, by stimulating dorsal spinal rootlets and/or lateral spinal cord adjacent to the dorsal rootlets, of sensory neurons innervating the limb with the phantom limb pain or diabetic neuropathy pain, or the prosthetic.

Treatment of phantom limb pain and diabetic neuropathy pain, and increasing prosthetic control, by stimulation of dorsal rootlets and lateral spinal cord

Apparatus and method for surgeon-assisted rapid surgical implantation of devices into soft tissue. The apparatus comprises several subsystems that enable the referencing of the spatial position and orientation of the device being implanted with respect to the soft tissue into which it is being implanted and then the controlled implantation of the device at a predefined speed with higher positional accuracy and precision and a reduction in soft tissue damage, provided by ultrasonic assisted motion, compared to current state-of-the-art implantation methods and devices. The method includes automated loading of the device being implanted into a clamping mechanism from a cartridge holding a number of implants, referencing of the device position and orientation, referencing of the surface of the tissue into which the device is being implanted, monitoring of the tissue motion, identification of desirable implant location based on the soft tissue profile, allowance of surgeon selection and fine adjustment of the final implant location, high-speed implantation, device release and implant actuator retraction.

Apparatus and method for implantation of devices into soft tissue

Methods and apparatus are disclosed for harvesting energy from motion of one or more joints. Energy harvesters comprise: a generator for converting mechanical energy into corresponding electrical energy; one or more sensors for sensing one or more corresponding characteristics associated with motion of the one or more joints; and control circuitry connected to receive the one or more sensed characteristics and configured to assess, based at least in part on the one or more sensed characteristics, whether motion of the one or more joints is associated with mutualistic conditions or non-mutualistic conditions. If conditions are determined to be mutualistic, energy harvesting is engaged. If conditions are determined to be non-mutualistic, energy harvesting is disengaged.

Methods and apparatus for harvesting biomechanical energy

A synergy-based human-machine interface that uses low-dimensional command signals to control a high dimensional virtual, robotic or paralyzed human hand is provided. Temporal postural synergies are extracted from angular velocities of finger joints of five healthy subjects when they perform hand movements that are similar to activities of daily living. Extracted Synergies are used in real-time brain control, where a virtual, robotic or paralyzed human hand is controlled to manipulate virtual or real world objects.

Human-machine interface based on task-specific temporal postural synergies

Methods and apparatus are disclosed for harvesting energy from motion of one or more joints. Energy harvesters comprise: an energy converter for converting mechanical energy into corresponding electrical energy; one or more sensors for sensing one or more corresponding characteristics associated with motion of the one or more joints; and a controller connected to receive the one or more sensed characteristics and configured to assess, based at least in part on the one or more sensed characteristics, whether motion of the one or more joints is associated with mutualistic conditions or non-mutualistic conditions. If conditions are determined to be mutualistic, energy harvesting is engaged. If conditions are determined to be non-mutualistic, energy harvesting is disengaged.

Method and apparatus for harvesting biomechanical energy

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Pittsburgh, PA, United States of America

Douglas John Weber