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MACHINE LEARNING TO OPTIMIZE SPINAL CORD STIMULATION

机译:机器学习优化脊髓刺激

摘要

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.
机译:系统的示例可以包括处理器和包括指令的存储设备,所述指令在由处理器执行时使处理器执行以下操作:访问对象的患者度量;使用患者度量作为机器学习算法的输入,机器学习算法搜索多个神经调节参数集并识别多个神经调节参数集的候选神经调节参数集,该候选神经调节参数集设计为产生一个在时域和空间域上变化的非规则波形;并使用候选神经调节参数集对神经调节器进行编程以刺激受试者。

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