Research challenges in wireless networks of biomedical sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
eWatch: A Wearable Sensor and Notification Platform
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
A Phone-Centered Body Sensor Network Platform: Cost, Energy Efficiency & User Interface
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards
Computer Communications
Pervasive healthcare and wireless health monitoring
Mobile Networks and Applications
Requirements and design spaces of mobile medical care
ACM SIGMOBILE Mobile Computing and Communications Review
TEMPO 3.1: A Body Area Sensor Network Platform for Continuous Movement Assessment
BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
Body Sensor Networks for Monitoring Rowing Technique
BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
Body Sensor Networks for Mobile Health Monitoring: Experience in Europe and Australia
ICDS '10 Proceedings of the 2010 Fourth International Conference on Digital Society
A wireless home and body sensor network platform for the early detection of arthritis
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
A mobile core-body temperature monitoring system on Android
Proceedings of the Fifth International Conference on Body Area Networks
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A body sensor network is a network of small sensor devices (biosensors) that sense health parameters of an individual, allowing 24/7 monitoring, providing biofeedback services. These networks have typically two layers: the sensor array and a sink node. The sink node manages the network, gathering sensor data continuously. However, raw sensor data is not enough to achieve biofeedback. One of the challenges body sensor networks present is the processing of raw biosensor data, in order to achieve a proper medical visualization of monitored parameters. This paper surveys some of the current approaches, proposes an interface classification based on features, and presents a solution based on a mobile device. The mobile application can run on a Java and Bluetooth enabled phone, allowing data retrieval, storage, and analysis in a single solution. The mobile application proposes a three-layer approach to BSN operation, adding the mobile device to the solution. The final system provides the user with a completely functional health-monitoring platform, which is easy to use and setup, validated through a complete series of tests on different mobile devices.