Title:	PATIENT USER INTERFACES FOR DETERMINING PAIN LEVEL THROUGH EVERYDAY SMARTPHONE TASKS AND WEARABLE PHYSIOLOGICAL SIGNAL SENSORS
Author(s):	Ashraf Khalil, Suha Glal and Salam Abdallah
ISBN:	978-989-8704-41-2
Editors:	Katherine Blashki
Year:	2022
Edition:	Single
Keywords:	Pain Sense Mobile Application, Pain Reporting Tasks, Physiological Signals, Physiological Markers, Perceived Pain, Intensity, User Interface
Type:	Full Paper
First Page:	27
Last Page:	33
Language:	English
Cover:
Full Contents:	click to dowload
Paper Abstract:	Tracking patients' pain is a critical issue for clinical caregivers, particularly among staff responsible for providing analgesic relief. However, collecting regularly scheduled pain measurements from patients can be cumbersome and time-consuming for clinicians. Additionally, Opiophobia among patients and physician is a well-documented barrier for effective pain management. With the ever-growing popularity of smartphones, physiological wearable sensors and their potential effectiveness for medical assessment and diagnostic, we created Pain Sense: a mobile application that measure how pain affects a person's motor coordination, cognition, and physiological markers using performance metrics and sensor data. We developed and evaluated the usability and acceptability of a smartphone app to support objective pain intensity measure to permit effective pain management and relief. We employed iterative process for app development and testing. Patient and clinicians participated in alpha testing of the final prototype to assess usability and acceptability. The current Pain Sense app include the following user interfaces to assess situational impairment: Typing UI, Swiping UI, Balancing UI, Reaction UI and Choice UI. We ran randomized controlled trial to validate the effectiveness of human performance metrics and features derived from mobile embedded sensors and physiological sensing technologies in developing an objective metric for pain intensity assessment.
	Go Back