Title :
The smartphone as a medical device: Assessing enablers, benefits and challenges
Author :
Agu, Emmanuel ; Pedersen, Peder ; Strong, Diane ; Tulu, Bengisu ; Qian He ; Lei Wang ; Yejin Li
Author_Institution :
Worcester Polytech. Inst., Worcester, MA, USA
Abstract :
Over one billion smartphones have now been shipped worldwide. These mobile devices feature multi-core CPUs and GPUs, megapixel cameras and an array of sensors. Smartphone sensors can now be processed to diagnose a wide variety of medical conditions including cough detection, irregular heartbeat detection, and lung function analysis. The ability to diagnose ailments in the convenience of patients´ homes on smartphones that they already possess could lead to early detection, which could ultimately reduce healthcare costs. This paper reviews state-of-the-art examples, examines the technical issues involved in the use of the smartphone as a medical device, and outlines potential benefits and challenges. A case study of an Android smartphone app for wound detection and healing progress analysis by diabetes patients is also presented.
Keywords :
Android (operating system); health care; medical computing; patient diagnosis; smart phones; Android smartphone app; cough detection; diabetes patients; healing progress analysis; irregular heartbeat detection; lung function analysis; medical conditions; medical device; smartphone sensors; wound detection; Cameras; Heart rate; Medical diagnostic imaging; Mobile communication; Sensors; Wounds; medical device; mobile health; smartphone;
Conference_Titel :
Internet-of-Things Networking and Control (IoT-NC), 2013 IEEE International Workshop of
Conference_Location :
New Orleans, LA
DOI :
10.1109/IoT-NC.2013.6694053