Machine learning to optimize spinal cord stimulation
US10842997B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 23, 2016 |
| Grant date | Nov 24, 2020 |
| Priority date | — |
| Expiry date | Aug 23, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
An example of a system may include a processor and a memory device comprising instructions, which when executed by the processor, cause the processor to: access a patient metric of a subject; use the patient metric as an input to a machine learning algorithm, the machine learning algorithm to search a plurality of neuromodulation parameter sets and to identify a candidate neuromodulation parameter set of the plurality of neuromodulation parameter sets, the candidate neuromodulation parameter set designed to produce a non-regular waveform that varies over a time domain and a space domain; and program a neuromodulator using the candidate neuromodulation parameter set to stimulate the subject.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.