Device and method for determining spinal cord stimulation efficacy

A system for calibrating spinal cord stimulation (SCS) treatment in a subject, the system comprising a processing module, a sensor module and a classifier module;

• wherein the processing module is configured to:
• receive a first indication from a SCS device that a first SCS treatment is being provided;
• wherein the first SCS treatment is characterized by a first value of at least one SCS parameter, wherein the first value of the at least one SCS parameter is different from that of a second value of the at least one SCS parameter;
• initiate the sensor module to conduct a first measurement of at least one physiological signal in response to the first indication from the SCS device;
• wherein the at least one physiological signal comprises at least one of a blood volume signal or a galvanic skin response (GSR) signal;
• receive a second indication from the SCS device that a second SCS treatment is being provided;
• wherein the second SCS treatment is characterized by the second value of the at least one SCS parameter;
• initiate the sensor module to conduct a second measurement of the at least one physiological signal in response to the second indication from the SCS device;
• initiate the classifier module to, by a non-transitory computer program, extract at least two features from each of the at least one physiological signals obtained from the first and second measurements;
• wherein the at least two features comprise blood volume amplitude, blood volume amplitude variation, pulse rate (PR) interval, PR variability, GSR Amplitude, GSR fluctuations, or any combination thereof;
• classify the at least two features by applying a classification algorithm thereon;
• and
• output, based on the classification, whether the first SCS treatment or the second SCS treatment correlates with a higher efficacy.

A system for calibrating spinal cord stimulation (SCS) treatment in a subject, the system comprising a processing module, a sensor module and a classifier module;

• wherein the processing module is configured to:
• receive a first indication from a SCS device that a first SCS treatment is being provided;
• wherein the first SCS treatment is characterized by a first value of at least one SCS parameter, wherein the first value of the at least one SCS parameter is different from that of a second value of the at least one SCS parameter;
• initiate the sensor module to conduct a first measurement of at least one physiological signal in response to the first indication from the SCS device;
• wherein the at least one physiological signal comprises at least one of a blood volume signal or movement (accelerometer) signal;
• receive a second indication from the SCS device that a second SCS treatment is being provided;
• wherein the second SCS treatment is characterized by the second value of the at least one SCS parameter;
• initiate the sensor module to conduct a second measurement of the at least one physiological signal in response to the second indication from the SCS device;
• initiate the classifier module to, by a non-transitory computer program, extract at least two features from each of the at least one physiological signals obtained from the first and second measurements;
• wherein the at least two features comprise blood volume amplitude, blood volume amplitude variation, pulse rate (PR) interval, PR variability, accelerometer X, Y, Z, Φ average value, variability, or any combination thereof;
• classify the at least two features by applying a classification algorithm thereon;
• and
• output, based on the classification, whether the first SCS treatment or the second SCS treatment correlates with a higher efficacy.