Co-Design of Assistive Robotic Systems for Monitoring and Management of Chronic Pain

Pain is an unpleasant sensation which we all experience throughout the course of life, but it serves the useful evolutionary purpose of alerting us to danger and allowing us to protect our bodies. However, chronic pain does not serve this purpose and can persist in the absence of injury or tissue damage. Chronic pain is an umbrella term for any pain that persists for longer than 3 months, and includes a wide range of conditions such as osteo and rheumatoid arthritis, fibromyalgia, complex regional pain syndrome (CRPS), headaches and migraines, and chronic back pain [1]. In the UK 62% of people over 75 live with some form of chronic pain, and in at least 10% this pain is moderately to severely disabling [2]. Worldwide, long-term pain effects over 30% of the adult population [3], however despite this prevalence, little is understood about its neurological mechanisms. Due to increased awareness of the drawbacks of opioid use, recent NICE guidelines for treating chronic pain emphasise building a collaborative treatment plan between patients and clinicians [4]. This project aims to use emerging technologies from robotics, sensing, and machine learning to aid in the detection and management of chronic pain.

Chronic pain can be difficult to detect and diagnose, as pain levels fluctuate for an individual daily, so sensors in the home may be suitable for monitoring the effects of pain over a period much longer than a clinical consultation. This could also help with detection in changing levels of health or mobility over time [5]. However, if we are to place sensors within the home, we need to understand how they can collect data which is sufficient to inform the user and clinician about health status, whilst still being acceptable to that end user [6].

If pain can be sensed and understood, there may be the opportunity to develop assistive technology that can then respond appropriately and be integrated with pain management plans. Assistive robots may be able to aid in...