MobiSense: Mobile body sensor network for ambulatory monitoring

This article introduces MobiSense, a novel mobile health monitoring system for ambulatory patients. MobiSense resides in a mobile device, communicates with a set of body sensor devices attached to the wearer, and processes data from these sensors. MobiSense is able to detect body postures such as lying, sitting, and standing, and walking speed, by utilizing our rule-based heuristic activity classification scheme based on the extended Kalman (EK) Filtering algorithm. Furthermore, the proposed system is capable of controlling each of the sensor devices, and performing resource reconfiguration and management schemes (sensor sleep/wake-up mode). The architecture of MobiSense is highlighted and discussed in depth. The system has been implemented, and its prototype is showcased. We have also carried out rigorous performance measurements of the system including real-time and query latency as well as the power consumption of the sensor nodes. The accuracy of our activity classifier scheme has been evaluated by involving several human subjects, and we found promising results.

[1]  Guang-Zhong Yang.  From sensor networks to behaviour profiling: a homecare perspective of intelligent buildings , 2004 .

[2]  P.E. Ross.  Managing care through the air [remote health monitoring] , 2004, IEEE Spectrum.

[3]  Alex Pentland,et al.  Healthwear: medical technology becomes wearable , 2004, Computer.

[4]  Jiankang Wu,et al.  LiteMWBAN: A lightweight middleware for wireless body area network , 2008, 2008 5th International Summer School and Symposium on Medical Devices and Biosensors.

[5]  Matt Welsh,et al.  Sensor networks for emergency response: challenges and opportunities , 2004, IEEE Pervasive Computing.

[6]  Jian-Kang Wu,et al.  Real-time tracking of flexion angle by using wearable accelerometer sensors , 2008, 2008 5th International Summer School and Symposium on Medical Devices and Biosensors.

[7]  Emil Jovanov,et al.  Issues in wearable computing for medical monitoring applications: a case study of a wearable ECG monitoring device , 2000, Digest of Papers. Fourth International Symposium on Wearable Computers.

[8]  Huosheng Hu,et al.  CSM-420 A Survey - Human Movement Tracking and Stroke Rehabilitation , 2004 .

[9]  D. Jamison.  Investing in Health , 2006 .

[10]  David E. Culler,et al.  The nesC language: A holistic approach to networked embedded systems , 2003, PLDI.

[11]  Tobias J. Hagge,et al.  Physics , 1929, Nature.

[12]  Jenna Burrell,et al.  Vineyard computing: sensor networks in agricultural production , 2004, IEEE Pervasive Computing.

[13]  Steffen Flessa,et al.  Investing in health , 2007, Journal of Public Health.

[14]  Liang Dong,et al.  A Hybrid HMM/Kalman Filter for Tracking Hip Angle in Gait Cycle , 2006, IEICE Trans. Inf. Syst..

[15]  F. Guilak,et al.  A Wireless ECG Smart Sensor for Broad Application in Life Threatening Event Detection , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[16]  David S. Rosenbaum,et al.  Keeping a beat on the heart , 2004, IEEE Pervasive Computing.

[17]  Chia-Chi Wang,et al.  Development of a Fall Detecting System for the Elderly Residents , 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.

[18]  Rohit Negi,et al.  Capacity of power constrained ad-hoc networks , 2004, IEEE INFOCOM 2004.

[19]  Benny P. L. Lo,et al.  BODY SENSOR NETWORK – A WIRELESS SENSOR PLATFORM FOR PERVASIVE HEALTHCARE MONITORING , 2005 .

[20]  Emil Jovanov,et al.  Stress monitoring using a distributed wireless intelligent sensor system. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[21]  Guang-Zhong Yang,et al.  Architecture for Body Sensor Networks , 2005 .

[22]  Alex Pentland,et al.  MIThril 2003: applications and architecture , 2003, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings..

[23]  M. Mathie,et al.  of the 23 rd Annual EMBS International Conference , October 25-28 , Istanbul , Turkey A SYSTEM FOR MONITORING POSTURE AND PHYSICAL ACTIVITY USING ACCELEROMETERS , 2004 .

[24]  Matt Welsh,et al.  CodeBlue: An Ad Hoc Sensor Network Infrastructure for Emergency Medical Care , 2004 .

[25]  Andy Marsh.  The E-CARE Project - Removing the Wires , 2002, International Conference on Computational Science.

[26]  Satish Kumar,et al.  Next century challenges: scalable coordination in sensor networks , 1999, MobiCom.

[27]  Deborah Estrin,et al.  Habitat monitoring with sensor networks , 2004, CACM.