PhysioDroid: Combining Wearable Health Sensors and Mobile Devices for a Ubiquitous, Continuous, and Personal Monitoring

Scientific World Journal

Volumn 2014, Issue , 2014, Pages

  Banos, Oresti ^a   Villalonga, Claudia ^b   Damas, Miguel ^a   Gloesekoetter, Peter ^c   Pomares, Hector ^a   Rojas, Ignacio ^a  

^a UNIVERSITY OF GRANADA   (Spain)

^b Telecommunication business unit   (Spain)

^c UNIVERSITY OF APPLIED SCIENCES   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BODY MOVEMENT; BREATHING RATE; ELECTROCARDIOGRAM; HEALTH CARE; HEART RATE; HUMAN; MEDICAL DEVICE; MOBILE APPLICATION; PATIENT ASSESSMENT; PERSONAL MONITORING; PHYSIODROID; SENSOR; SKIN TEMPERATURE; STORAGE; VITAL SIGN; WIRELESS COMMUNICATION; AMBULATORY MONITORING; DEVICES; HEALTH CARE DELIVERY; MOBILE PHONE; PROCEDURES;

CELL PHONES; DELIVERY OF HEALTH CARE; HUMANS; MOBILE APPLICATIONS; MONITORING, AMBULATORY;

EID: 84928991499     PISSN: 23566140     EISSN: 1537744X     Source Type: Journal    
DOI: 10.1155/2014/490824     Document Type: Article

References (55)

1. M. Chowdhury, S. Krishnan, and S. Vishwanath, "Touching lives through mobile health. Assessment of the global market opportunity," Tech. Rep., GSMA, 2012.
2. G. Eysenbach, "Medicine 2.0: social networking, collaboration, participation, apomediation, and openness," Journal of Medical Internet Research, vol. 10, no. 3, 2008.
3. A. Ruttenberg, T. Clark, W. Bug et al., "Advancing translational research with the Semantic Web," BMC Bioinformatics, vol. 8, supplement 3, article S2, 2007.
4. S. Ba and L. Wang, "Digital health communities: the effect of their motivation mechanisms," Decision Support Systems, vol. 55, no. 4, pp. 941-947, 2013.
5. C. McNab, "What social media offers to health professionals and citizens," Bulletin of the World Health Organization, vol. 87, pp. 565-644, 2009.
6. M. Beggelman, "Virtual reasoning redefining healthcare through health 3.0,"White Paper, 2008, http://www.health2con.com/news/2008/07/01/using-virtual-r/.
7. M. Chan, D. Estève, J.-Y. Fourniols, C. Escriba, and E. Campo, "Smart wearable systems: current status and future challenges," Artificial Intelligence in Medicine, vol. 56, no. 3, pp. 137-156, 2012.
8. R.-G. Lee, K.-C. Chen, C.-C. Hsiao, and C.-L. Tseng, "A mobile care system with alert mechanism," IEEE Transactions on Information Technology in Biomedicine, vol. 11, no. 5, pp. 507-517, 2007.
9. G. Valenza, C. Gentili, A. Lanatà, and E. P. Scilingo, "Mood recognition in bipolar patients through the PSYCHE platform: preliminary evaluations and perspectives," Artificial Intelligence in Medicine, vol. 57, no. 1, pp. 49-58, 2013.
10. W. Oh, "Global smartphone user penetration forecast by 88 countries: 2007 to 2020," Tech. Rep., Strategy Analytics, 2014.
11. Z. Ji, I. Ganchev, M. O'Droma, X. Zhang, and X. Zhang, "A cloud-based X73 ubiquitous mobile healthcare system: design and implementation," The Scientific World Journal, vol. 2014, Article ID 145803, 14 pages, 2014.
12. O. Banos, M. Damas, P. Gloessekoetter et al., "Physiodroid: an app for physiological data monitoring," in Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, pp. 297-304, 2013.
13. ABI-Research, Mobile devices and mhealth, 2012, http://www.abiresearch.com/market-research/service/mhealth/.
14. S.-H. Liu, D.-C. Cheng, and C.-M. Lin, "Arrhythmia identification with two-lead electrocardiograms using artificial neural networks and support vector machines for a portable ECG monitor system," Sensors, vol. 13, no. 1, pp. 813-828, 2013.
15. G. Andreoni, M. Mazzola, P. Perego et al., "Wearablemonitoring devices for assistive technology: case studies in post-polio syndrome," Sensors, vol. 14, no. 2, pp. 2012-2027, 2014.
16. O. Banos, M. Damas, H. Pomares, A. Prieto, and I. Rojas, "Daily living activity recognition based on statistical feature quality group selection," Expert Systems with Applications, vol. 39, no. 9, pp. 8013-8021, 2012.
17. O. Banos, M. Damas, H. Pomares, F. Rojas, B. Delgado-Marquez, and O. Valenzuela, "Human activity recognition based on a sensor weighting hierarchical classifier," Soft Computing, vol. 17, no. 2, pp. 333-343, 2013.
18. O. Banos, M. A. Toth, M. Damas, H. Pomares, and I. Rojas, "Dealing with the effects of sensor displacement in wearable activity recognition," Sensors, vol. 14, no. 6, pp. 9995-10023, 2014.
19. GSMA, Mobile health devices list, 2012, http://www.gsma.com/connectedliving/mhealth-device-listing-april-2012.
20. R. Irythm, "Irythm zio patch," 2012, http://www.irhythmtech.com/zio-solution/zio-patch/index.html.
21. R. Fitbit, "Fitbit products," 2012, https://www.fitbit.com/store.
22. R. Zeo, "Zeo sleep monitors," 2012, http://www.myzeo.com/sleep/shop.
23. SHLTelemedicine, "Smartheart," 2012, http://www.shl-telemedicine.com/portfolio/smartheart/.
24. R. Sotera, "Visimobile," 2012, http://www.visimobile.com/visiproduct-info/.
25. R. Corventis, "Avivo mpm system," 2012, http://www.corventis.com/us/avivo.asp.
26. R. Hidalgo, "Equivital eq02," 2012, http://www.equivital.co.uk/products/tnr/sense-and-transmit.
27. R. Zephyr, "Bioharness 3," 2012, http://zephyranywhere.com/products/bioharness-3/.
28. TechMedic, "Dynavision," 2012, http://www.techmedicinternational.com/index.php.
29. H. McCracken, "Who is winning, ios or android? All the numbers, all in one place," Time Tech, http://techland.time.com/2013/04/16/ios-vs-android/.
30. L. Yu, "The coevolution of mobile os user market and mobile application developer community," International Journal of Advanced Computer Technology, vol. 2, no. 2, pp. 44-48, 2013.
31. S. Khalifian, T. Markman, P. Sampognaro, S. Mitchell, S. Weeks, and J. Dattilo, "Medical student appraisal: searching on smartphones," Applied Clinical Informatics, vol. 4, no. 1, pp. 53-60, 2012.
32. S. Havelka, "Mobile resources for nursing students and nursing faculty," Journal of Electronic Resources in Medical Libraries, vol. 8, no. 2, pp. 194-199, 2011.
33. O. Franko and T. Tirrell, "Smartphone app use among medical providers in ACGME training programs," Journal of Medical Systems, vol. 36, no. 5, pp. 3135-3139, 2012.
34. M. McCartney, "Howdowe knowwhethermedical appswork?" British Medical Journal, vol. 346, Article ID f1811, 2013.
35. Hidalgo-Limited, "Equivital eq01 lifemonitor," 2012, http://www.equivital.co.uk/products.
36. Linton-Instrumentation, "Hidalgo equivital lifemonitor specifications," 2010, http://www.lintoninst.co.uk/Products/tabid/63/ProdID/599/Language/en-US/Equivital/LifeMonitor.aspx.
37. Bluetooth Developer Porta l, RFCOMM with TS 07.10, 2014, https://developer.bluetooth.org/TechnologyOverview/Pages/RFCOMM.aspx.
38. Bluetooth Developer Portal, Serial Port Profile (SPP), 2014, https://developer.bluetooth.org/TechnologyOverview/Pages/SPP. aspx.
39. SQLite, SQLite Library, 2014, http://www.sqlite.org/.
40. M. Armbrust, A. Fox, R. Griffith et al., "A view of cloud computing," Communications of the ACM, vol. 53, no. 4, pp. 50-58, 2010.
41. S. Lohr, "The age of big data," New York Times, 2012.
42. Amazon, "Elastic load balancing tutorial," 2014, http://aws.amazon.com/elasticloadbalancing/.
43. Rackspace, "Load balancer tutorial," 2014, http://www.rackspace.com/cloud/load-balancing/.
44. Apache Foundation, "Apache cassandra tutorial," 2014, http://cassandra.apache.org/.
45. Apache Foundation, "Apache couchdb tutorial," 2014, http://couchdb.apache.org/.
46. Mongo DB, "Mongodb tutorial," 2014, http://www.mongodb.org.
47. Apache Foundation, "Apache hadoop tutorial," 2014, http://hadoop.apache.org/.
48. J. Dean and S. Ghemawat, "MapReduce: simplified data processing on large clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008.
49. M.O. Karvonen and E. Kentala, "Theeffects of training on heart rate; a longitudinal study," Annales Medicinae Experimentalis et Biologiae Fenniae, vol. 35, no. 3, pp. 307-315, 1957.
50. J. A. Zoladz, Z. Szkutnik, J. Majerczak, and K. Duda, "Detection of the change point in oxygen uptake during an incremental exercise test using recursive residuals: relationship to the plasma lactate accumulation and blood acid base balance," European Journal of Applied Physiology and Occupational Physiology, vol. 78, no. 4, pp. 369-377, 1998.
51. R. A. Robergs and R. Landwehr, "The surprising history of the "HRmax=220-age" equation," Journal of Exercise Physiology, vol. 5, no. 2, pp. 1-10, 2002.
52. G. R. Farazdaghi and B. Wohlfart, "Reference values for the physical work capacity on a bicycle ergometer for women between 20 and 80 years of age," Clinical Physiology, vol. 21, no. 6, pp. 682-687, 2001.
53. B. Wohlfart and G. R. Farazdaghi, "Reference values for the physical work capacity on a bicycle ergometer for men-a comparison with a previous study on women," Clinical Physiology and Functional Imaging, vol. 23, no. 3, pp. 166-170, 2003.
54. M. Gulati, L. J. Shaw, R. A. Thisted, H. R. Black, C. Noel Bairey Merz, and M. F. Arnsdorf, "Heart rate response to exercise stress testing in asymptomaticwomen: the St. James women take heart project," Circulation, vol. 122, no. 2, pp. 130-137, 2010.
55. J. M. Anderson, "Rehabilitating elderly cardiac patients," The Western Journal of Medicine, vol. 154, no. 5, pp. 573-578, 1991.