Abstracts

NOFO: Digital endpoints device to derive objective pain biosignatures used in clinical trials for collecting data for a pain algorithm discovery.

ABSTRACT published in April 2024Remote Wearable Sensor for Pain Biosignature Algorithm. The Journal of Pain published by the US Association for the Study of Pain (USASP)Volume 25, April 2024, Page 36 Abstract: The purpose of this study is to identify remote wearable sensors for a pain biosignature algorithm. The wearable sensor will use FDA-approved sensors for measuring signs of inflammation—the root cause of pain (Omoigui S). Method employs a systematic review, investigating devices combined into a single device for simultaneous measurement of painful points compared to non-painful point (differential comparisons) of pain pressure thresholds (Cowie). Measurements include Pain (dolor), heat (calor), redness (rubor), swelling (tumor), and loss of function (functio laesa) (S. Hannoodee). Additionally, the benefits of Intermittent Pneumatic Compression (IPC) will prevent ischemia and squeeze edema to regions with normal lymphatic drainage (Zaleska M). Regulated cyclical compression, a robotic device, is found to reduce Inflammation I.e. pain, and enable the repair of muscle fibers (Bo Ri Seo). Wearable sensors, when worn under an IPC, monitor inflammatory potentials. Results concluded a combined sensors would reveal corroborative data between physiological parameters and pain. The conclusion is that collecting data undergoes rigorous analysis to identify patterns and correlations, contributing to the formulation of pain biosignature algorithms by correlating subjective pain experiences to measured bio-physiological aspects of inflammation. Patient-reported metrics include numerical pain scales, lumbar-related function, Oswestry, and metrics for a standardized outcome (R Carter Clement).The data collected is analytically valuable, with a focus on identifying novel pain algorithms, ensuring a nuanced understanding of pain experiences to help prevent Opioid Use Disorder (OUD). Published and Presented Abstract Systematic Reviews Provide Evidence-Based Practices 

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