Massachusetts Institute of Technology

The General Hospital Corporation

University of Southern California

Pavitra Krishnaswamy

Hugh Miller Herr

Andras Kuthi

Patrick L Purdon

Ken Endo

Michael Frederick Eilenberg

Jared Markowitz

Jing Wang

Emery Neal Brown

Matti Hamalainen

Gabriel Obregon-Henao

Behtash Babadi

A method for non-invasively resolving electrophysiological activity in sub-cortical structures located deep in the brain by comparing amplitude-insensitive M/EEG field patterns arising from activity in subcortical and cortical sources under physiologically relevant sparse constraints is disclosed. The method includes a sparse inverse solution for M/EEG subcortical source modeling. Specifically, the method employs a subspace-pursuit algorithm rooted in compressive sampling theory, performs a hierarchical search for sparse subcortical and cortical sources underlying the measurement, and estimates millisecond-scale currents in these sources to explain the data. The method can be used to recover thalamic and brainstem contributions to non-invasive M/EEG data, and to enable non-invasive study of fast timescale dynamical and network phenomena involving widespread regions across the human brain.

Deep brain source imaging with M/EEG and anatomical MRI

Systems and a method for reducing periodic artifacts in an electrophysiologic signal are provided. The method includes receiving a time-series electrophysiologic signal acquired from a subject and providing a regression model that defines an interference signal caused by periodic artifacts using a harmonic representation. The method also includes applying the regression model using the time-series electrophysiologic signal to define a cost function and performing an iterative optimization process to estimate regression parameters that minimize the cost function. The method further includes determining, using the regression parameters, the interference signal, and generating a corrected time-series electrophysiologic signal by reducing the interference signal.

Removing eletrophysicologic artifacts from a magnetic resonance imaging system

Disclosed are methods and systems for subnanosecond rise time high voltage (HV) electric pulse delivery to biological loads. The system includes an imaging device and monitoring apparatus used for bio-photonic studies of pulse induced intracellular effects. The system further features a custom fabricated microscope slide having micro-machined electrodes. A printed circuit board to interface the pulse generator to the micro-machined glass slide having the cell solution is disclosed. An low-parasitic electronic setup to interface with avalanche transistor-switched pulse generation system is also disclosed. The pc-board and the slide are configured to match the output impedance of the pulse generator which minimizes reflection back into the pulse generator, and minimizes distortion of the pulse shape and pulse parameters. The pc-board further includes a high bandwidth voltage divider for real-time monitoring of pulses delivered to the cell solutions.

Compact subnanosecond high voltage pulse generation system for cell electro-manipulation

A neuromuscular model-based controller for a robotic limb having at least one joint includes a neuromuscular model having a muscle model, muscle geometry and reflex feedback loop to determine at least one torque or impedance command to be sent to the robotic limb. One or more parameters that determine relation between feedback data and activation of the muscle model are adjusted consequent to sensory data from at least one of an intrinsic sensor and an extrinsic sensor. A controller in communication with the neuromuscular model is configured to receive the at least one torque or impedance command and controls at least one of position, torque and impedance of the robotic limb joint.

Neuromuscular model-based sensing and control paradigm for a robotic leg

Growing community of inventors

Cambridge, MA, United States of America

Pavitra Krishnaswamy