| SORIN CRM SAS Patent applications |
| Patent application number | Title | Published |
| 20120136423 | System for Stimulation and/or Defibrillation of the Left Ventricle Endocardially or From a Vein In the Coronary System - A system for stimulation/defibrillation of the left ventricle endocardially or from a vein in the coronary system including: a lead body ( | 05-31-2012 |
| 20120130464 | PACING LEAD FOR A LEFT CAVITY OF THE HEART, IMPLANTED IN THE CORONARY SYSTEM - A pacing lead for a left cavity of the heart, implanted in the coronary system. This lead ( | 05-24-2012 |
| 20120093245 | System, Methods And Apparatus For Waking An Autonomous Active Implantable Medical Device Communicating By Pulses Transmitted Through The Interstitial Tissues Of The Body - An autonomous active medical implantable device, with a power supply and a wake-up circuit that responds to receipt of specific pulses transmitted through the interstitial tissues of the body transmitter device ( | 04-19-2012 |
| 20120016435 | OPTIMAL DEEP BRAIN STIMULATION THERAPY WITH Q LEARNING - A closed loop Deep Brain Stimulation (DBS) system constituted of: a physiological sensor; a multi-electrode DBS lead; an adaptive control system in communication with the physiological sensor; and an implantable pulse generator (IPG) responsive to the adaptive control system, the adaptive control system comprising a learning module operable to learn to find the optimal stimulation parameters, classify and associate patient conditions responsive to the physiological sensor with optimal stimulation parameters in a plurality of patient conditions. The adaptive DBS device control system learns to deliver the optimal stimulation parameters based on Watkins and Dayan Q learning recursive formula, the closed loop adaptive DBS control system thus finds the optimal stimulation parameters online. | 01-19-2012 |
| 20110213435 | OPTIMAL CARDIAC PACING WITH Q LEARNING - A cardiac pacemaker control system constituted of: a means for receiving input from a hemodynamic sensor; an adaptive control system in communication with the means for receiving input from the hemodynamic sensor; and an interface arranged to provide cardiac stimulation responsive to the adaptive control system; the adaptive control system comprising a learning module operative to converge to patient specific cardiac pacing stimulation timing using a machine learning scheme in cooperation with a probabilistic replacement scheme, the probabilistic replacement scheme arranged to replace inputs from the hemodynamic sensor with online calculated values. | 09-01-2011 |