Development of a body sensor network to detect motor patterns of epileptic seizures

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 12 PART2, 2012, Pages 3204-3211

  Dalton, Anthony ^a,b   Patel, Shyamal ^b   Chowdhury, Atanu Roy ^c   Welsh, Matt ^d   Pang, Trudy ^e   Schachter, Steven ^e,f   Ólaighin, Gearóid ^a   Bonato, Paolo ^g  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

^b and Red Sox Foundation and Massachusetts General Hospital Home Base Program   (United States)

^c Google Inc ^*  (United States)

^d GOOGLE INC   (United States)

^e HARVARD MEDICAL SCHOOL   (United States)

^f Center for the Integration of Medicine and Innovative Technology   (United States)

^g HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

Author keywords

Instrumental activities of daily living (iADL) seizure monitoring; kinematic sensor; simple motor seizure

Indexed keywords

ELECTRIC BATTERIES; KINEMATICS; MERCURY (METAL); MHEALTH; TEMPLATE MATCHING; BODY SENSOR NETWORKS; DATA COMMUNICATION SYSTEMS;

ACTIVITIES OF DAILY LIVING; DYNAMIC TIME WARPING ALGORITHMS; INSTRUMENTAL ACTIVITIES OF DAILY LIVING (IADL) SEIZURE MONITORING; KINEMATIC SENSORS; REMOTE MONITORING SYSTEM; SIMPLE MOTOR SEIZURES; TEMPLATE-MATCHING ALGORITHMS; TEMPORAL VARIABILITY; BATTERY LIFETIME; DATA SETS; EPILEPTIC SEIZURES; GOLD STANDARDS; MASS-SPRING; MEDICAL CENTER; SEIZURE DETECTION; SIMPLE MOTOR SEIZURE; VIDEO DATA;

BODY SENSOR NETWORKS; ALGORITHMS;

MERCURY;

ACCELEROMETER; ADULT; ALGORITHM; ARTICLE; BIOSENSOR; CLINICAL ARTICLE; DAILY LIFE ACTIVITY; DRUG DOSE TITRATION; ELECTROENCEPHALOGRAM; FEMALE; GOLD STANDARD; HUMAN; KINEMATICS; MALE; SEIZURE; SENSITIVITY AND SPECIFICITY;

ACCELEROMETRY; ACTIVITIES OF DAILY LIVING; ADULT; ALGORITHMS; EPILEPSY; FEMALE; HUMANS; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REMOTE SENSING TECHNOLOGY; SIGNAL PROCESSING, COMPUTER-ASSISTED; TELEMEDICINE;

EID: 84868129314     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2204990     Document Type: Article

References (30)

1. H. Witte and L. D. Iasemidis, "Special issue on epileptic seizure prediction," IEEE Trans. Biomed. Eng., vol. 50, no. 5, pp. 537-539, May 2003.
2. C. L.Deckers, P. Genton, andG. J. Sills, "Current limitations of antiepileptic drug therapy: A conference review," Epilepsy Res., vol. 53, pp. 1-17, 2003. (Pubitemid 36170166)
3. W. O. Tatum, IV, L.Winters, and M. Gieron, "Outpatient seizure identification: Results of 502 patients using computer-assisted ambulatory EEG," J. Clin. Neurophysiol., vol. 18, pp. 14-19, 2001. (Pubitemid 32240436)
4. D. Schmidt and G. L. Holmes, "Pharmacological overtreatment in epilepsy: Mechanisms and management," Epilepsy Res, vol. 52, no. 1, pp. 3-14, 2002. (Pubitemid 35351527)
5. T.M. E. Nijsen, J. B. A.M. Arends, and P. J. M. Cluitmans, "The potential value of 3-D accelerometry for detection of motor seizures in severe epilepsy," Epilepsy Behav., vol. 7, pp. 74-84, 2005. (Pubitemid 40975281)
6. T. M. E. Nijsen, J. B. A. M. Arends, and P. J. M. Cluitmans, "Detection of subtle nocturnal motor activity from 3-d accelerometry recordings in epilepsy patients," IEEE Trans. Biomed. Eng., vol. 54, no. 11, pp. 2073-2081, Nov. 2007. (Pubitemid 350006063)
7. T.M. E.Nijsen, R.M.Aarts, and P. J. M. Cluitmans, "Automated detection of tonic seizures using 3-D accelerometry," in Proc. Conf. Int. Fed. Med. Biol. Eng., 2008, vol. 6, pp. 188-191.
8. T. M. E. Nijsen, R. M. Aarts, P. J. M. Cluitmans, and P. A. M Griep, "Time-frequency analysis of acceletometry data for detection of myoclonic seizures," IEEE Trans. Inf. Technol. Biomed., vol. 14, no. 5, pp. 1197-203, Sep. 2010.
9. A. J. Gabor and R. R. Leach, "Automated seizure detection using a selforganizing neural network," Electroencenphalogr. Clin. Neurophysiol., vol. 99, pp. 257-266, 1996. (Pubitemid 26317223)
10. I. Conradsen, S. Beniczky, K. Hoppe, P. Wolf, and H. Sorsnsen, "Automated algorithm for generalised tonic-clonic epileptic seizure onset detection based on sEMG zero-crossing rate," IEEE Trans. Biomed. Eng., vol. 59, no. 2, pp. 579-585, Feb. 2012.
11. H. Qu and J. Gotman, "Improvement in seizure detection performance by automatic adaptation to EEG of each patient," Electroencenphalogr. Clin. Neurophysiol., vol. 86, pp. 79-87, 1993. (Pubitemid 23043919)
12. A. Shoeb, H. Edwards, J. Connolly, and T. Treves, "Patient-specific seizure detection," Epilepsy Behav., vol. 5, no. 4, pp. 483-498, 2004.
13. Eurostat. (2005). Population projections 2004-2050. [Online]. Available: http://europa.eu.int/comm/eurostat
14. United States Department of Commerce. Bureau of the Census. Population. (Apr. 2011). [Online]. Available: www.census.gov/idbpyr.html
15. V. M. Jones, R. Huis in't Veld, T. Tonis, R. B. Bults, B. van Beijnum, I.Widya,M.Vollenbroek-Hutten, and H. Hermens, "Biosignal and context monitoring: Distributed multimedia applications of body area networks in healthcare," in Proc. IEEE 10th Int.Workshop Multimedia Signal Process., Oct. 2008, pp. 820-825.
16. AWARENESS, Freeband AWARENESS project. (Apr. 2012). [Online]. Available: http://www.freeband.nl/project.cfm?id=494&language=en 2012.
17. A. Shoeb, S. Schachter, and B. Bourgeois, "Detecting seizure onset in the ambulatory setting: Demonstrating feasibility," in Proc. IEEE Eng. Med. Biol. Soc., 2005, pp. 3546-3350.
18. J. Lockmann, R. Fisher, and D. Olson, "Detection of seizure-like movements using a wrist accelerometer," Epilepsy Behav., vol. 20, pp. 638-41, 2011.
19. U. Kramer, S. Kipervasser, A. Shlitner, and R. Kuzniecky, "A novel portable seizure detection alarm system preliminary results," J. Clin. Neurophysiol., vol. 28, pp. 36-38, 2011.
20. SHIMMER. (Feb. 2012). [Online]. Available: http://www.shimmerresearch. com
21. M. Mathie, "Monitoring and Interpreting Human Movement Patterns Using a Triaxial Accelerometer," Ph.D. dissertation, Dept. Faculty Eng., Univ. New South Wales, Sydney, N.S.W., Australia, 2003.
22. J. W. Sammon, "A nonlinear mapping for data structure analysis," IEEE Trans. Comput., vol. 18, no. 5, pp. 401-409, May 1969.
23. G. Niezen and G. Hancke, "Evaluating and optimizing accelerometerbased gesture recognition techniques for mobile devices," in Proc. AFRICON, 2009, pp. 1-6.
24. E. Keogh and C. A. Ratanamahatana, "Exact indexing of dynamic time warping," Knowledge Inf. Syst., vol. 7, no. 3, pp. 406-417, 2002.
25. Nokia Corporation. (Feb. 2012). [Online]. Available: http://www.nokiausa. com/find-products/phones/nokia-n810
26. K. Lorincz, B.-R. Chen, A. R. Chowdhury, S. Patel, P. Bonato, and M.Welsh, "Mercury:Awearable sensor network platform for high-fidelity motion analysis," in Proc. 7th ACM Conf. Embedded Netw. Sensor Syst., 2009, pp. 183-196.
27. Maemo Online Community. [Online]. Available: http://maemo.org
28. E. Schul, I. Unterberger, S. Saboor, J. Hilbe, M. Ertl, E. Trinka, and C. Them, "Measurement and quantification of generalized tonic-clonic seizures in epilepsy patients by means of accelerometry-An explorative study," Epilepsy Res., vol. 95, pp. 173-83, 2011.
29. A. Milenkovic, C. Otto, and E. Jovanov, "Wireless sensor networks for personal health monitoring: Issues and an implementation," Comput. Commun., vol. 29, pp. 2521-2533, 2006. (Pubitemid 44162982)
30. S. Salvador and P. Chan, "Toward accurate dynamic time warping in linear time and space," Intell. Data Anal., vol. 11, no. 5, pp. 561-580, 2009.