Objective wearable measures and subjective questionnaires for predicting response to neurostimulation in people with chronic pain.
Robert HerosDenis PattersonFrank HuygenIoannis SkaribasDavid SchultzDerron WilsonMichael FishmanSteven FalowskiGregory MooreJan Willem KallewaardSoroush DehghanAnahita KyaniMisagh MansouriPublished in: Bioelectronic medicine (2023)
The significance of this study is to introduce a novel use of wearable data collected from a subset of patients to capture multi-dimensional aspects of pain and compare the prediction power with the subjective data from a larger data set. The discovery of pain digital biomarkers could result in a better understanding of the patient's response to therapy and their general well-being.
Keyphrases
- chronic pain
- electronic health record
- pain management
- end stage renal disease
- big data
- ejection fraction
- newly diagnosed
- neuropathic pain
- heart rate
- chronic kidney disease
- stem cells
- peritoneal dialysis
- high throughput
- spinal cord injury
- patient reported outcomes
- bone marrow
- depressive symptoms
- patient reported
- artificial intelligence