Methods and systems are provided for simulating neuromodulation therapy. An identification of a particular neuromodulation-therapy implant device, an identification of a particular neuromodulation-therapy algorithm, and subject records corresponding to a subject may be received. neuromodulation-therapy simulator may execute to generated predicted performance metric for the particular neuromodulation-therapy implant device. The predicted performance may correspond to predicted physiological responses of the subject when the particular neuromodulation-therapy algorithm is executed by the particular neuromodulation-therapy implant device. The predicted performance metrics may be output.
Claim CLM-00001. 1. A method of simulating neuromodulation therapy, comprising:
receiving a first dataset corresponding to a particular neuromodulation-therapy implant device; receiving a second dataset corresponding to a particular neuromodulation-therapy algorithm; receiving a third dataset corresponding to a subject-record for a particular subject; determining, based on an execution of a neuromodulation-therapy simulator, one or more predicted performance metrics that is based on the particular neuromodulation-therapy implant device, the particular neuromodulation-therapy algorithm, and the subject-record for the particular subject, wherein the one or more predicted performance metrics correspond to one or more predicted physiological responses of the subject when the particular neuromodulation-therapy algorithm is executed by the particular neuromodulation-therapy implant device to control an electrical output of the particular neuromodulation-therapy implant device; and outputting the one or more predicted performance metrics corresponding to the one or more predicted physiological responses of the subject.
Claim CLM-00008. 8. A system comprising:
one or more data processors; and a non-transitory computer-readable storage medium storing instructions which, when executed by the one or more data processors, cause the one or more data processors to perform operations including: receiving a first dataset corresponding to a particular neuromodulation-therapy implant device; receiving a second dataset corresponding to a particular neuromodulation-therapy algorithm; receiving a third dataset corresponding to a subject-record for a particular subject; determining, based on an execution of a neuromodulation-therapy simulator, one or more predicted performance metrics that is based on the particular neuromodulation-therapy implant device, the particular neuromodulation-therapy algorithm, and the subject-record for the particular subject, wherein the one or more predicted performance metrics correspond to one or more predicted physiological responses of the subject when the particular neuromodulation-therapy algorithm is executed by the particular neuromodulation-therapy implant device to control an electrical output of the particular neuromodulation-therapy implant device; and outputting the one or more predicted performance metrics corresponding to the one or more predicted physiological responses of the subject.
Claim CLM-00015. 15. A non-transitory computer-readable storage medium storing instructions which, when executed by one or more data processors, cause the one or more data processors to perform operations including:
receiving a first dataset corresponding to a particular neuromodulation-therapy implant device; receiving a second dataset corresponding to a particular neuromodulation-therapy algorithm; receiving a third dataset corresponding to a subject-record for a particular subject; determining, based on an execution of a neuromodulation-therapy simulator, one or more predicted performance metrics that is based on the particular neuromodulation-therapy implant device, the particular neuromodulation-therapy algorithm, and the subject-record for the particular subject, wherein the one or more predicted performance metrics correspond to one or more predicted physiological responses of the subject when the particular neuromodulation-therapy algorithm is executed by the particular neuromodulation-therapy implant device to control an electrical output of the particular neuromodulation-therapy implant device; and outputting the one or more predicted performance metrics corresponding to the one or more predicted physiological responses of the subject.
