Big data processing using wearable devices for wellbeing and healthy activities promotion

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9455, Issue , 2015, Pages 196-205

  Páez, Diego Gachet ^a   Rodríguez, Manuel de Buenaga ^a   Sánz, Enrique Puertas ^a   Villalba, María Teresa ^a   Gil, Rafael Muñoz ^a  

^a UNIVERSIDAD EUROPEA DE MADRID   (Spain)

Author keywords

Cloud computing; Elderly; Internet of things; Sensors, big data

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLOUD COMPUTING; DATA HANDLING; HEALTH CARE; INTERNET OF THINGS; LEARNING ALGORITHMS; LEARNING SYSTEMS; WEARABLE SENSORS; WEARABLE TECHNOLOGY;

AGING POPULATION; CHRONIC DISEASE; DEVELOPED COUNTRIES; ECONOMIC CRISIS; ELDERLY; HEALTH-CARE SYSTEM; HEALTHY LIFESTYLES; WEARABLE DEVICES;

BIG DATA;

EID: 84952656684     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-26410-3_19     Document Type: Conference Paper

References (21)

1. Fundación Vodafone: Innovación TIC para las personas mayores. Situación, requerimientos y soluciones en la atención intgral de la cronicidad y la dependencia (2011). http://www.vodafone.es/static/fichero/pro_ucm_mgmt_015568.pdf
2. Centers for Disease Control and Prevention. Physical activity and health. http://www.cdc.gov/physicalactivity/everyone/health/index.html. Accessed 30 May 2015
3. European Commission: Health, demographic change and wellbeing. http://ec.europa.eu/programmes/horizon2020/en/h2020-section/health-demographic-change-and-wellbeing. Accessed 1 April 2015
4. Canale, S.: The bravehealth software architecture for the monitoring of patients affected by CVD. In: 5th Telemed, Nice, France, pp. 29–34 (2013)
5. Youm, S., Park, S.H.: How the awareness of u-healthcare service and health conditions affect healthy lifestyle: an empirical analysis based on a u-healthcare service experience. Telemed. J. E Health 21(4), 286–295 (2015)
6. ipHealth web site. http://www.esp.uem.es/gsi/ipHealth/
7. Páez, D.G., Aparicio, F., de Buenaga, M., Ascanio, J.R.: Big data and IoT for chronic patients monitoring. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds.) UCAmI 2014. LNCS, vol. 8867, pp. 416–423. Springer, Heidelberg (2014)
8. Human API web site. https://humanapi.co/
9. Prajapati, V.: Big Data Analytics with R and Hadoop. Packt Books, Birmingham (2013)
10. Sahoo, S.S., Jayapandian, C., Garg, G., Kaffashi, F., Chung, S., Bozorgi, A., et al.: Heart beats in the cloud: distributed analysis of electrophysiological big data using cloud computing for epilepsy clinical research. J. Am. Med. Inform. Assoc. 21(2), 263–271 (2014)
11. i. Labs, wireless blood pressure wrist monitor. http://www.ihealthlabs.com/blood-pressuremonitors/wireless-blood-pressure-wrist-monitor/
12. FitBit, FitBit Flex. http://www.fitbit.com/es/flex
13. Diaz, K.M., Krupka, D.J., Chang, M.J., Ma, Y., Goldsmith, J., Schwartz, J.E., Davidson, K. W.: Fitbit®: an accurate and reliable device for wireless physical activity tracking. Int. J. Cardiol. 185, 138–140 (2015)
14. Denolle, T., Weber, J.-L., Calvez, C., Getin, Y., Daniel, J.-C., Lurton, O., Cheve, M.-T., Marechaud, M., Bessec, P., Carbonne, B.: Diagnosis of white coat hypertension in pregnant women with teletransmitted home blood pressure. Hypertens. Pregnancy 27(3), 305–313 (2008)
15. Bellazzi, R., Zupan, B.: Predictive data mining in clinical medicine: current issues and guidelines. Int. J. Med. Inform. 77, 81–97 (2008)
16. Elhadad, N., Pradhan, S., Gorman, S.L., Manandhar, S., Chapman, W., Savova, G.: SemEval-2015 task 14: analysis of clinical text. Semeval Notes 298(133), 100 (2015)
17. Li, Y., McLean, D., Bandar, Z., O’shea, J.D., Crockett, K.: Sentence similarity based on semantic nets and corpus statistics. IEEE Trans. Knowl. Data Eng. 18(8), 1138–1150 (2006)
18. Gachet Páez, D., Aparicio, F., de Buenaga, M., Padrón, V.: Personalized health care system with virtual reality rehabilitation and appropriate information for seniors. Sensors 12(5), 5502–5516 (2012)
19. Chandola, V., Banerjee, A., Kumar, V.: Anomaly detection: a survey. ACM Comput. Surv. 41, 15:1–15:58 (2009)
20. Al-Hajji, A.A.: Rule-based expert system for diagnosis and symptom of neurological disorders neurologist expert system (NES). In: Proceedings of the 1st Taibah University International Conference on Computing and Information Technology, Al-Madinah Al-Munawwarah, Saudi Arabia, pp. 67–72, 12–14 March 2012
21. Frantzidis, C.A., Bratsas, C., Klados, M.A., Konstantinidis, E., Lithari, C.D., Vivas, A.B., Papadelis, C.L., Kaldoudi, E., Pappas, C., Bamidis, P.D.: On the classification of emotional biosignals evoked while viewing affective pictures: an integrated data-mining-based approach for healthcare applications. Trans. Inf. Tech. Biomed. 14, 309–318 (2010)