US 12,357,828 B2
System for planning and/or providing neuromodulation
Karen Minassian, Vienna (AT); Fabien Wagner, Lausanne (CH); Marco Capogrosso, Lausanne (CH); Gregoire Courtine, Lausanne (CH); Robin Brouns, Eindhoven (NL); Jurriaan Bakker, Eindhoven (NL); Andre Kleibeuker, Eindhoven (NL); Bert Bakker, Eindhoven (NL); and Vincent Delattre, Eindhoven (NL)
Assigned to ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL), Lausanne (CH); and ONWARD MEDICAL N.V., Eindhoven (NL)
Filed by ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL), Lausanne (CH); and ONWARD MEDICAL N.V., Eindhoven (NL)
Filed on Mar. 29, 2021, as Appl. No. 17/216,487.
Application 17/216,487 is a continuation in part of application No. 16/769,213, granted, now 11,992,684, previously published as PCT/EP2018/082942, filed on Nov. 29, 2018.
Claims priority of application No. 17205360 (EP), filed on Dec. 5, 2017.
Prior Publication US 2021/0213292 A1, Jul. 15, 2021
Int. Cl. A61N 1/36 (2006.01)
CPC A61N 1/36128 (2013.01) [A61N 1/36062 (2017.08); A61N 1/36146 (2013.01)] 7 Claims
OG exemplary drawing
 
1. A system for planning and/or providing neuromodulation, especially neurostimulation, comprising:
a first data input module comprising a sensor configured to measure a physiological response and a processor, the first data input module configured to receive stimulation basic data comprising one or more of electrode data generated via the sensor, stimulation characteristic data, patient data, stimulation data, and treatment application data;
a second data input module comprising a neuromodulation lead, a neuromodulation pulse generator, the sensor configured to measure the physiological response, and the processor, the second data input module generating stimulation response data, the stimulation response data comprising one or more of electromyography data, afferent signal data, efferent signal data, impedance data, and electroencephalography data;
a computer including a software, the software within a storage of the computer, the computer and the storage comprising:
a stimulation basic data storage module for storing the stimulation basic data,
a stimulation response data storage module for storing the stimulation response data,
a transfer module configured and arranged such that the stimulation basic data received by the first data input module are linked with and/or translated into the stimulation response data received by the second data input module, wherein the data generated by the transfer module are transfer data comprising link data and/or translation data and/or artificial response data, and wherein the transfer data is generated from one or more of body posture data, static data, dynamic data, task data, activity data, time and/or delay data, rehabilitation data, drug treatment data, and data related to a voluntariness of movement,
a transfer response data storage module for storing the transfer data,
a mapping module configured and arranged such that a digital characteristic map is generated based on the stimulation basic data, the stimulation response data, and the transfer data translated by the transfer module, the characteristic map describes the interrelation between the stimulation basic data, the stimulation response data, and the transfer data, and
an analysis module configured and arranged such that the digital characteristic map is analyzed automatically via defining onset points, saturation points, and specificity points within the digital characteristic map to reveal anatomy segments associated with flexion.