Droid Jacket: Using an Android based smartphone for team monitoring

Professionals such as First Responders are frequently exposed to extreme environmental conditions, which induce stress and fatigue during extensive periods of time. In this scenario, the main issues are the quantification and evaluation of stress and fatigue, since uncontrolled levels have a profound and negative impact on human health and performance. Based on an existing wearable monitoring solution - the Vital Jacket®- we propose an individual and team monitoring mobile solution called DroidJacket. DroidJacket is based on Android mobile devices and provides data aggregation, processing, visualization and optionally relaying services. The DroidJacket design is plugin oriented, integrating analysis modules, namely an online ECG plugin for both real time pulse and arrhythmia detection.

[1]  Jari Hyttinen,et al.  Mobile ECG measurement and analysis system using mobile phone as the base station , 2008, 2008 Second International Conference on Pervasive Computing Technologies for Healthcare.

[2]  Bernardo Cunha,et al.  Vital-Jacket®: A wearable wireless vital signs monitor for patients' mobility in cardiology and sports , 2010, 2010 4th International Conference on Pervasive Computing Technologies for Healthcare.

[3]  Arantza Illarramendi,et al.  An Innovative System that Runs on a PDA for a Continuous Monitoring of People , 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

[4]  G Dobos,et al.  Acute stress and ventricular arrhythmias. , 2001, European heart journal.

[5]  M. Welsh,et al.  Vital Signs Monitoring and Patient Tracking Over a Wireless Network , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[6]  Haiying Zhou,et al.  A Real-Time Continuous Cardiac Arrhythmias Detection System: RECAD , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[7]  Xue-Wei Tian,et al.  Real-time algorithm for a mobile cardiac monitoring system to detect life-threatening arrhythmias , 2010, 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE).

[8]  Valérie Gay,et al.  Personal Heart Monitoring System Using Smart Phones To Detect Life Threatening Arrhythmias , 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

[9]  P. Hamilton,et al.  Open source ECG analysis , 2002, Computers in Cardiology.

[10]  Jonathan E. Fielding,et al.  First Responders : Mental Health Consequences of Natural and Human-Made Disasters for Public Health and Public Safety Workers , 2007 .

[11]  Reto Meier Professional Android Application Development , 2008 .

[12]  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.

[13]  A. Barreto,et al.  Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  David C Christiani,et al.  THE NEW ENGLAND JOURNAL OF MEDICINE , 1977, The Lancet.

[15]  I. Cosic,et al.  ECG R-R Peak Detection on Mobile Phones , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[16]  Márcio Filipe Moutinho Colunas Droid Jacket: a mobile monitoring system for a team , 2010 .

[17]  Chwan-Lu Tseng,et al.  A Mobile Care System With Alert Mechanism , 2007, IEEE Transactions on Information Technology in Biomedicine.

[18]  Dimitrios I. Fotiadis,et al.  An arrhythmia classification system based on the RR-interval signal , 2005, Artif. Intell. Medicine.

[19]  Yuan-Hsiang Lin,et al.  A wireless PDA-based physiological monitoring system for patient transport , 2004, IEEE Transactions on Information Technology in Biomedicine.

[20]  Arantza Illarramendi,et al.  Real-time classification of ECGs on a PDA , 2005, IEEE Transactions on Information Technology in Biomedicine.