A wearable automated system to quantify parkinsonian symptoms enabling closed loop deep brain stimulation

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

Volumn 9716, Issue , 2016, Pages 8-19

  Angeles, Paolo ^a   Mace, Michael ^a   Admiraal, Marcel ^a   Burdet, Etienne ^a   Pavese, Nicola ^a   Vaidyanathan, Ravi ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Parkinson s disease therapy device; Quantification of Parkinson s disease symptoms; Rigidity model

Indexed keywords

AUTOMATION; DISEASE CONTROL; NEUROSURGERY; RIGIDITY; ROBOTICS; SURGERY; WEARABLE TECHNOLOGY;

DEEP BRAIN STIMULATION; DETECTION ALGORITHM; DISEASE SYMPTOMS; MOVEMENT DISORDERS; PARKINSONIAN SYMPTOMS; RIGIDITY MODEL; THERAPY DEVICES; UPPER EXTREMITY MOVEMENTS;

WEARABLE SENSORS;

EID: 84977555563     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-40379-3_2     Document Type: Conference Paper

References (14)

1. Dai, H., Otten, B., Mehrkens, J.H., D’Angelo, L.T., Lueth, T.C.: A novel glove monitoring system used to quantify neurological symptoms during deep-brain stimulation surgery. IEEE Sens. J. 13(9), 3193–3202 (2013)
2. Prochazka, A., Bennett, D.J., Stephens, M.J., Patrick, S.K., Sears-Duru, R., Roberts, T., Jhamandas, J.H.: Measurement of rigidity in Parkinson’s disease. Mov. Disord. 12(1), 24–32 (1997)
3. Patrick, S.K., Denington, A.A., Gauthier, M.J.A., Gillard, D.M., Prochazka, A.: Quantification of the UPDRS rigidity scale. IEEE Trans. Neural Syst. Rehabil. Eng. 9(1), 31–41 (2001)
4. Park, B.K., Kwon, Y., Kim, J.W., Lee, J.H., Eom, G.M., Koh, S.B., Jun, J.H., Hong, J.: Analysis of viscoelastic properties of wrist joint for quantification of Parkinsonian rigidity. IEEE Trans. Neural Syst. Rehabil. Eng. 19(2), 167–176 (2011)
5. Salarian, A., Russmann, H., Wider, C., Burkhard, P.R., Vingerhoets, F.J.G., Aminian, K.: Quantification of tremor and bradykinesia in Parkinson’s disease using a novel ambulatory monitoring system. IEEE Trans. Biomed. Eng. 54(2), 313–322 (2007)
6. Jun, J.H., Kim, J.W., Kwon, Y., Eom, G.M., Koh, S.B., Lee, B., Kim, H.S., Yi, J.H., Tack, G.R.: Quantification of limb bradykinesia in patients with Parkinson’s disease using a gyrosensor - improvement and validation. Int. J. Precis. Eng. Manuf. 12(3), 557–563 (2011)
7. Dai, H., D’Angelo, L.: Quantitative assessment of tremor during deep brain stimulation using a wearable glove system. In: IEEE International Workshop of Internetof- Things Networking and Control (IoT-NC), pp. 53–57 (2013)
8. Dai, H., Zhang, P., Lueth, T.C.: Quantitative assessment of Parkinsonian tremor based on an inertial measurement unit. Sensors 15(10), 25055–25071 (2015)
9. Elble, R., Deuschl, G.: Milestones in tremor research. Mov. Disord. 26(6), 1096–1105 (2011)
10. Harish, K., Venkateswara Rao, M., Borgohain, R., Sairam, A., Abhilash, P.: Tremor quantification and its measurements on Parkinsonian patients. In: 2009 International Conference on Biomedical and Pharmaceutical Engineering (ICBPE), pp. 1–3 (2009)
11. Kwon, Y., Park, S.H., Kim, J.W., Ho, Y., Jeon, H.M., Bang, M.J., Koh, S.B., Kim, J.H.H., Eom, G.M.: Quantitative evaluation of Parkinsonian rigidity during intra-operative deep brain stimulation. Bio-Med. Mater. Eng. 24(6), 2273–2281 (2014)
12. Kim, J.W., Lee, J.H.H., Kwon, Y., Kim, C.S., Eom, G.M., Koh, S.B., Kwon, D.Y., Park, K.W.: Quantification of bradykinesia during clinical finger taps using a gyrosensor in patients with Parkinson’s disease. Med. Biol. Eng. Comput. 49(3), 365–371 (2011)
13. Kim, J.W., Kwon, Y., Kim, Y.M., Chung, H.Y., Eom, G.M., Jun, J.H., Lee, J.W., Koh, S.B., Park, B.K., Kwon, D.K.: Analysis of lower limb bradykinesia in Parkinson’s disease patients. Geriatr. Gerontol. Int. 12(2), 257–264 (2012)
14. Heldman, D.A., Filipkowski, D.E., Riley, D.E., Whitney, C.M., Walter, B.L., Gunzler, S.A., Giuffrida, J.P., Mera, T.O.: Automated motion sensor quantification of gait and lower extremity bradykinesia. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 1956–1959 (2012)