42
Advances in Neural Signal Processing
[1] Nonnekes J, Goselink RJM,
Růžička E, Fasano A, Nutt JG,
Bloem BR. Neurological disorders of
gait, balance and posture: A sign-based
approach. Nature Reviews Neurology.
2018;14:183-189
[2] Pedotti A. A study of motor
coordination and neuromuscular
activities in human locomotion.
Biological Cybernetics. 1977;26:53-62
[3] Stickford ASL,
Stickford JL. Ventilation and locomotion
in humans: Mechanisms, implications,
and perturbations to the coupling of
these two rhythms. Springer Science
Reviews. 2014;2:95-118
[4] Novacheck TF. The biomechanics of
running. Gait & Posture. 1998;7:77-95
[5] Cappellini G, Ivanenko YP,
Poppele RE, Lacquaniti F. Motor patterns
in human walking and running. Journal
of Neurophysiology. 2006;95:3426-3437
[6] Gafurov D. A Survey of Biometric
Gait Recognition: Approaches, Security
and Challenges. Proceedings of the
Norwegian Informatics Conference;
2007. pp. 19-21
[7] Baratin E, Sugavaneswaran L,
Umapathy K, Ioana C, Krishnan S. Waveletbased characterization of gait signal
for neurological abnormalities. Gait &
Posture. 2015;41:634-639
[8] Mostayed A, Kim S,
Mazumder MMG, Park SJ. Foot step
based person identification using
histogram similarity and wavelet
decomposition. In: 2008 Int. Conf. Inf.
Secur. Assur. (isa 2008); IEEE; 2008.
pp. 307-311
[9] Godfrey A, Del Din S, Barry G,
Mathers JC, Rochester L. Instrumenting
gait with an accelerometer: A
system and algorithm examination.
Medical Engineering & Physics.
2015;37:400-407
[10] Patterson M, Caulfield B. A novel
approach for assessing gait using foot
mounted accelerometers. In: Proc
5th Int ICST Conf Pervasive Comput
Technol Healthc; 2011. DOI: 10.4108/
icst.pervasivehealth.2011.246061
[11] Del Din S, Hickey A,
Hurwitz N, Mathers JC, Rochester L,
Godfrey A. Measuring gait with an
accelerometer-based wearable: Influence
of device location, testing protocol
and age. Physiological Measurement.
2016;37:1785-1797
[12] Mantyjarvi J, Lindholm M,
Vildjiounaite E, Makela S,
Ailisto H. Identifying users of portable
devices from gait pattern with
accelerometers. In: Proceedings.
(ICASSP ‘05). IEEE Int. Conf. Acoust.
Speech, Signal Process. IEEE; 2005.
pp. 973-976
[13] Selles RW, Formanoy MAG,
Bussmann JBJ, Janssens PJ,
Stam HJ. Automated estimation of
initial and terminal contact timing
using accelerometers; development
and validation in transtibial amputees
and controls. IEEE Transactions on
Neural Systems and Rehabilitation
Engineering. 2005;13:81-88
[14] Derawi MO, Bours P, Holien K.
Improved cycle detection
for accelerometer based gait
authentication. In: 2010 Sixth Int.
Conf. Intell. Inf. Hiding Multimed.
Signal Process. IEEE; 2010.
pp. 312-317
[15] Casamassima F, Ferrari A,
Milosevic B, Ginis P, Farella E,
Rocchi L. A wearable system for gait
training in subjects with Parkinson’s
disease. Sensors. 2014;14:6229-6246
References
Advances in Neural Signal Processing
[1] Nonnekes J, Goselink RJM,
Růžička E, Fasano A, Nutt JG,
Bloem BR. Neurological disorders of
gait, balance and posture: A sign-based
approach. Nature Reviews Neurology.
2018;14:183-189
[2] Pedotti A. A study of motor
coordination and neuromuscular
activities in human locomotion.
Biological Cybernetics. 1977;26:53-62
[3] Stickford ASL,
Stickford JL. Ventilation and locomotion
in humans: Mechanisms, implications,
and perturbations to the coupling of
these two rhythms. Springer Science
Reviews. 2014;2:95-118
[4] Novacheck TF. The biomechanics of
running. Gait & Posture. 1998;7:77-95
[5] Cappellini G, Ivanenko YP,
Poppele RE, Lacquaniti F. Motor patterns
in human walking and running. Journal
of Neurophysiology. 2006;95:3426-3437
[6] Gafurov D. A Survey of Biometric
Gait Recognition: Approaches, Security
and Challenges. Proceedings of the
Norwegian Informatics Conference;
2007. pp. 19-21
[7] Baratin E, Sugavaneswaran L,
Umapathy K, Ioana C, Krishnan S. Waveletbased characterization of gait signal
for neurological abnormalities. Gait &
Posture. 2015;41:634-639
[8] Mostayed A, Kim S,
Mazumder MMG, Park SJ. Foot step
based person identification using
histogram similarity and wavelet
decomposition. In: 2008 Int. Conf. Inf.
Secur. Assur. (isa 2008); IEEE; 2008.
pp. 307-311
[9] Godfrey A, Del Din S, Barry G,
Mathers JC, Rochester L. Instrumenting
gait with an accelerometer: A
system and algorithm examination.
Medical Engineering & Physics.
2015;37:400-407
[10] Patterson M, Caulfield B. A novel
approach for assessing gait using foot
mounted accelerometers. In: Proc
5th Int ICST Conf Pervasive Comput
Technol Healthc; 2011. DOI: 10.4108/
icst.pervasivehealth.2011.246061
[11] Del Din S, Hickey A,
Hurwitz N, Mathers JC, Rochester L,
Godfrey A. Measuring gait with an
accelerometer-based wearable: Influence
of device location, testing protocol
and age. Physiological Measurement.
2016;37:1785-1797
[12] Mantyjarvi J, Lindholm M,
Vildjiounaite E, Makela S,
Ailisto H. Identifying users of portable
devices from gait pattern with
accelerometers. In: Proceedings.
(ICASSP ‘05). IEEE Int. Conf. Acoust.
Speech, Signal Process. IEEE; 2005.
pp. 973-976
[13] Selles RW, Formanoy MAG,
Bussmann JBJ, Janssens PJ,
Stam HJ. Automated estimation of
initial and terminal contact timing
using accelerometers; development
and validation in transtibial amputees
and controls. IEEE Transactions on
Neural Systems and Rehabilitation
Engineering. 2005;13:81-88
[14] Derawi MO, Bours P, Holien K.
Improved cycle detection
for accelerometer based gait
authentication. In: 2010 Sixth Int.
Conf. Intell. Inf. Hiding Multimed.
Signal Process. IEEE; 2010.
pp. 312-317
[15] Casamassima F, Ferrari A,
Milosevic B, Ginis P, Farella E,
Rocchi L. A wearable system for gait
training in subjects with Parkinson’s
disease. Sensors. 2014;14:6229-6246
References