APD  Vol.2 No.4 , November 2013
Wearable and wireless accelerometer systems for monitoring Parkinson’s disease patients—A perspective review
Author(s) Robert LeMoyne*
ABSTRACT
Parkinson’s disease is a growing medical concern as societies, such as the United States of America, become progressively aged. Therapy strategies exist for the amelioration of Parkinson’s disease symptoms, and the quantification of attributes, such as hand tremor, can provide valuable feedback. Wearable and wireless accelerometer systems for monitoring Parkinson’s disease patients have been progressively advanced over the course of the past half-decade. In particular, wireless accelerometer nodes and smartphones, such as the iPhone, hold promise for optimizing therapy strategy by providing convenient quantified feedback. This perspective review addresses the current advances in wearable and wireless accelerometer systems for monitoring Parkinson’s disease patients and forecasts for the near future.

Cite this paper
LeMoyne, R. (2013) Wearable and wireless accelerometer systems for monitoring Parkinson’s disease patients—A perspective review. Advances in Parkinson's Disease, 2, 113-115. doi: 10.4236/apd.2013.24021.
References
[1]   Seeley, R.R., Stephens, T.D. and Tate, P. (2003) Anatomy and physiology. McGraw-Hill, New York.

[2]   Kandel, E.R., Schwartz, J.H. and Jessell, T.M. (2000) Principles of neural science. McGraw-Hill, New York.

[3]   LeMoyne, R., Coroian, C., Mastroianni, T., Opalinski, P., Cozza, M. and Grundfest, W. (2009) The merits of artificial proprioception, with applications in biofeedback gait rehabilitation concepts and movement disorder characterization. In: Barros de Mello, C.A., Ed., Biomedical Engineering, Intech, Vienna, 165-198.

[4]   LeMoyne, R., Coroian, C., Mastroianni, T. and Grundfest, W. (2008) Accelerometers for quantification of gait and movement disorders: A perspective review. Journal of Mechanics in Medicine and Biology, 8, 137-152. http://dx.doi.org/10.1142/S0219519408002656

[5]   LeMoyne, R., Mastroianni, T., Cozza, M., Coroian, C. and Grundfest, W. (2010) Implementation of an iPhone for characterizing Parkinson’s disease tremor through a wireless accelerometer application. Proceeding of the 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, 31 August-4 September 2010, 4954-4958.

[6]   LeMoyne, R., Coroian, C. and Mastroianni, T. (2009) Quantification of Parkinson’s disease characteristics using wireless accelerometers. Proceeding of the International Conference on Complex Medical Engineering (CME-2009) of the IEEE/ICME, Tempe, 9-11 April 2009, 1-5.

[7]   LeMoyne, R., Mastroianni, T. and Grundfest W. (2013) Wireless accelerometer configuration for monitoring Parkinson’s disease hand tremor. Advances in Parkinson’s Disease, 2, 62-67. http://dx.doi.org/10.4236/apd.2013.22012

[8]   Patel, S., Park, H., Bonato, P., Chan, L. and Rodgers, M. (2012) A review of wearable sensors and systems with application in rehabilitation. Journal of NeuroEngineering and Rehabilitation, 9, 1-17. http://dx.doi.org/10.1186/1743-0003-9-21

[9]   Nolte, J. and Sundsten, J.W. (2002) The human brain: An introduction to its functional anatomy. Mosby, St. Louis.

[10]   Volkmann, J., Moro, E. and Pahwa, R. (2006) Basic algorithms for the programming of deep brain stimulation in Parkinson’s disease. Movement Disorders, 21, S284-S289. http://dx.doi.org/10.1002/mds.20961

[11]   Giuffrida, J.P., Riley, D.E., Maddux B.N. and Heldman, D.A. (2009) Clinically deployable Kinesia technology for automated tremor assessment. Movement Disorders, 24, 723-730. http://dx.doi.org/10.1002/mds.22445

[12]   Cancela, J., Pansera, M., Arredondo, M.T., Estrada, J.J., Pastorino, M., Pastor-Sanz, L. and Villalar, J.L. (2010) A comprehensive motor symptom monitoring and management system: The bradykinesia case. Proceeding of the 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, 31 August-4 September 2010, 1008-1011.

[13]   Pastorino, M., Cancela, J., Arredondo, M.T., Pansera, M., Pastor-Sanz, L., Villagra, F., Pastor, M.A. and Martin, J.A. (2011) Assessment of bradykinesia in Parkinson’s disease patients through a multi-parametric system. Proceeding of the 33rd Annual International Conference of the IEEE EMBS, Boston, 30 August-3 September 2011, 1810-1813.

[14]   Cancela, J., Pastorino, M., Arredondo, M.T., Pansera, M., Pastor-Sanz, L., Villagra, F., Pastor, M.A. and Gonzalez, A.P. (2011) Gait assessment in Parkinson’s disease patients through a network of wearable accelerometers in unsupervised environments. Proceeding of the 33rd Annual International Conference of the IEEE EMBS, Boston, 30 August-3 September 2011, 2233-2236.

[15]   Kostikis, N., Hristu-Varsakelis, D., Arnaoutoglou, M., Kotsavasiloglou, C. and Baloyiannis, S. (2011) Towards remote evaluation of movement disorders via smartphones. Proceeding of the 33rd Annual International Conference of the IEEE EMBS, Boston, 30 August-3 September 2011, 5240-5243.

 
 
Top