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 :
biomedical telemetry; cameras; health care; multiprocessing systems; patient monitoring; sensor arrays; smart phones; Android smartphone app; cough detection; diabetes patients; healing progress analysis; healthcare costs; irregular heartbeat detection; lung function analysis; medical conditions; medical device; megapixel cameras; mobile devices; multicore CPU; multicore GPU; patients homes; sensor array; smartphone sensors; wound detection; Cameras; Heart rate; Medical diagnostic imaging; Mobile communication; Sensors; Wounds; medical device; mobile health; smartphone;
Conference_Titel :
Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2013 10th Annual IEEE Communications Society Conference on
Conference_Location :
New Orleans, LA
DOI :
10.1109/SAHCN.2013.6644964