Cala Health, Inc.

Gsacore, LLC

Other

Terence D Sanger

Kathryn H Rosenbluth

Samuel Richard Hamner

Serena HanYing Wong

Paula Chidester

Scott Delp

David L Klein

Swaril Mathur

Atiyeh Ghoreyshi

Jonathan Realmuto

Serena Hanying Wong

Samuel Hamner

Scott L Delp

David Klein

Paula Jean Chidester

Systems, devices, and methods for stimulating peripheral nerves in the fingers or hand to treat tremor are described. For example, a wearable ring device for delivering electrical stimulation to sensory nerves in a patient's finger can include an annular ring having a plurality of electrodes and a detachable unit having a power source and a pulse generator.

Systems and methods for peripheral nerve stimulation in the finger or hand

A system and method for providing therapy to a patient can include a monitoring unit and a therapy unit. The monitoring unit can have a user interface and one or more sensors to measure patient data. The therapy unit can have a stimulator for generating electrical stimulation and a microcontroller for controlling the generation of the electrical stimulation based on the measured patient data.

Systems and methods for peripheral nerve stimulation to treat tremor with detachable therapy and monitoring units

A peripheral nerve stimulator can be used to stimulate a peripheral nerve to treat essential tremor, Parkinsonian tremor, and other forms of tremor. The stimulator can have electrodes that are placed circumferentially around the patient's wrist or arm. Specific nerves in the wrist or arm can be targeted by appropriate spacing of the electrodes. Positioning the electrodes on generally opposing sides of the target nerve can result in improved stimulation of the nerve. The stimulation pattern may alternate between the nerves. Improved stimulation algorithms can incorporate tremor feedback, external data, predictive adaptation, and long-term monitoring data.

Systems and methods for peripheral nerve stimulation to treat tremor

Systems and methods for peripheral nerve stimulation in the finger or hand to treat hand tremors

A robotic orthosis device for assisting users to rotate their wrist with a pair of fabric-based helical actuators and a sleeve or rigid interfaces configured to attach to a user's forearm. Each of the helical actuators includes a cylinder and a pneumatic bladder configured to inflate the cylinder. Each cylinder includes an anisotropic sheet material and a base sheet material running the length of the cylinder. The anisotropic sheet material comprises elastomeric strands that enable the material to stretch in a direction parallel to the orientation of the elastomeric strands, but different than the longitudinal axis of the cylinder. The base sheet material, which is affixed to the anisotropic sheet material, is strain-limiting along the longitudinal axis. When the bladder is pressurized, the expansion of the bladder causes the cylinder to stretch and twist, thus generating a helical force on the user' wrist relative to the elbow.

Robotic forearm orthosis using soft fabric-based helical actuators

A peripheral nerve stimulator can be used to stimulate a peripheral nerve to treat essential tremor, Parkinsonian tremor, and other forms of tremor. The stimulator can have electrodes that are placed circumferentially around the patient's wrist or arm. Specific nerves in the wrist or arm can be targeted by appropriate spacing of the electrodes, Positioning the electrodes on generally opposing sides of the target nerve can result in improved stimulation of the nerve. The stimulation pattern may alternate between the nerves. Improved stimulation algorithms can incorporate tremor feedback, external data, predictive adaptation, and long-term monitoring data.

Systems for peripheral nerve stimulation

Methods for peripheral nerve stimulation

Method for peripheral nerve stimulation

A stochastic Bayesian nonlinear filtering system and method that improves the filtering of noisy signals by providing efficiency, power, speed, and flexibility. The filter only requires the likelihood function p(observation|state) to determine the system state and works in various measurement models. This allows for the processing of noisy signals to be used in real time, such as in a biofeedback device that senses noisy surface electromyography muscle electrical activity, filters the sensed signal using the nonlinear filtering method, and provides vibrations based on the muscular activity.

Systems, methods, and uses of Bayes-optimal nonlinear filtering algorithm

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Los Angeles, CA, United States of America

Terence D Sanger