Abstract
Spinal cord stimulation (SCS) is widely used to provide pain relief and improve the quality of life for people with chronic pain [2]. Response to SCS therapy is usually evaluated in the clinical setting by patient-reported outcome measures including numerical rating system (NRS) and patient global impression of change (PGIC). Objective measures collected from wearable sensors can complement these measures and provide a better understanding of patient’s chronic pain. In this work, we aim to utilize objective data such as physical activity, and heart rate collected through a wearable sensor (Apple Watch) to predict patient’s response to spinal cord stimulation.
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