A holistic tool for developing a wireless home-based health monitoring system.

Early detection and diagnosis of potentially fatal physiological conditions such as heart attacks, require continuous monitoring of patient health following transfer from hospital to home. In response to this need, wireless home-based health monitoring systems (WHMS) are being proposed as a low-cost solution. A WHMS (Figure 1) consists of physiological sensors that store, process, and communicate physiological data through a wireless communication network to a local manager (LM) such as a smartphone, which in turn uses cloud services for diagnosis. Such WHMS should satisfy strict safety, security, reliability, and long-term real-time operation requirements, as mandated by regulatory agencies such as the U.S. Food and Drug Administration (FDA) and by policies such as the Health Insurance Portability and Accountability Act (HIPAA). Development of a WHMS that satisfies these requirements is a challenging task, and several tools have been proposed for this purpose. However, such tools are often lacking in several aspects of the WHMS life cycle, including design, development, and maintenance. The principal challenge in developing a holistic, wireless, home-based health monitoring tool comes from its potential diverse set of users. A WHMS life-cycle management tool should be usable by the following set of users each having their own needs and knowledge base: a) Physicians have expert knowledge on diagnosis of a patient using WHMS. In this regard, they might need monitoring and display of physiological signals, usage of signal processing algorithms for diagnosis, and storage of medical records. However, we do not expect them to have knowledge of intricate engineering processes in a WHMS, such as architectural details of sensor hardware and programming languages. b) Developers possess the required technical skills to implement WHMS hardware and software. They need to perform platform A Holistic Tool for Developing a Wireless Home-Based Health Monitoring System

[1]  Yu Xie,et al.  Model-based wireless health system design tool , 2012, Wireless Health.

[2]  David Starobinski,et al.  Rateless Deluge: Over-the-Air Programming of Wireless Sensor Networks Using Random Linear Codes , 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).

[3]  Sang Hyuk Son,et al.  Wireless Sensor Networks for In-Home Healthcare: Potential and Challenges , 2005 .

[4]  Wen-Zhan Song,et al.  Over the Air Programming on Imote2-Based Sensor Networks , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[5]  Edward A. Lee,et al.  Viptos: a graphical development and simulation environment for TinyOS-based wireless sensor networks , 2005, SenSys '05.

[6]  Luciano Lavagno,et al.  A Framework for Modeling, Simulation and Automatic Code Generation of Sensor Network Application , 2008, 2008 5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[7]  Youzhi Xu,et al.  An Elderly Health Care System Using Wireless Sensor Networks at Home , 2009, 2009 Third International Conference on Sensor Technologies and Applications.

[8]  Ayan Banerjee,et al.  BAND-AiDe: A Tool for Cyber-Physical Oriented Analysis and Design of Body Area Networks and Devices , 2012, TECS.

[9]  Aleksandar Milenkovic,et al.  Wireless sensor networks for personal health monitoring: Issues and an implementation , 2006, Comput. Commun..

[10]  G. Seroussi,et al.  Elliptic curve cryptography , 1999, 1999 Information Theory and Networking Workshop (Cat. No.99EX371).

[11]  Ayan Banerjee,et al.  Health-Dev: Model Based Development Pervasive Health Monitoring Systems , 2012, 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks.

[12]  Helmut Krcmar,et al.  Evaluation Framework for Personal Health Records: Microsoft HealthVault Vs. Google Health , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[13]  Jörgen Hansson,et al.  ANDES: An ANalysis-Based DEsign Tool for Wireless Sensor Networks , 2007, 28th IEEE International Real-Time Systems Symposium (RTSS 2007).

[14]  Agustinus Borgy Waluyo,et al.  Mobile Middleware for Wireless Body Area Network , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[15]  Eric Eide,et al.  Efficient memory safety for TinyOS , 2007, SenSys '07.

[16]  Artin Der Minassians,et al.  Wireless Sensor Networks for Home Health Care , 2007, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).

[17]  Sandeep K. S. Gupta,et al.  Ayushman: A Wireless Sensor Network Based Health Monitoring Infrastructure and Testbed , 2005, DCOSS.

[18]  Nigamanth Sridhar,et al.  TOSDev: a rapid development environment for TinyOS , 2006, SenSys '06.

[19]  Fabio Bellifemine,et al.  SPINE2: developing BSN applications on heterogeneous sensor nodes , 2009, 2009 IEEE International Symposium on Industrial Embedded Systems.

[20]  JeongGil Ko,et al.  Wireless Sensor Networks for Healthcare , 2010, Proceedings of the IEEE.

[21]  Mihail L. Sichitiu,et al.  RaPTEX: Rapid prototyping tool for embedded communication systems , 2010, TOSN.

[22]  Ayan Banerjee,et al.  PSKA: Usable and Secure Key Agreement Scheme for Body Area Networks , 2010, IEEE Transactions on Information Technology in Biomedicine.