Computer Software Applicable in Rehabilitation, Cardiology and Molecular Biology
We have developed a computer program consisting of
6 subtests assessing the children hand dexterity applicable in the
rehabilitation medicine. We have carried out a normative study on a
representative sample of 285 children aged from 7 to 15 (mean age
11.3) and we have proposed clinical standards for three age groups
(7-9, 9-11, 12-15 years). We have shown statistical significance of
differences among the corresponding mean values of the task time
completion. We have also found a strong correlation between the task
time completion and the age of the subjects, as well as we have
performed the test-retest reliability checks in the sample of 84
children, giving the high values of the Pearson coefficients for the
dominant and non-dominant hand in the range 0.740.97 and
0.620.93, respectively.
A new MATLAB-based programming tool aiming at analysis of
cardiologic RR intervals and blood pressure descriptors, is worked
out, too. For each set of data, ten different parameters are extracted: 2
in time domain, 4 in frequency domain and 4 in Poincaré plot
analysis. In addition twelve different parameters of baroreflex
sensitivity are calculated. All these data sets can be visualized in time
domain together with their power spectra and Poincaré plots. If
available, the respiratory oscillation curves can be also plotted for
comparison. Another application processes biological data obtained
from BLAST analysis.
[1] "Task Force of the European Society of Cardiology and the North
American Society of Pacing and Electrophysiology. Heart rate
variability: standards of measurements, physiological interpretation and
clinical use. Circulation", vol. 93, 1996, pp. 1043-65.
[2] M. Brennan, M. Palaniswami, P. Kamen, "Poincaré plot interpretation
using a physiological model of HRV based on a network of oscillators",
Am J Physiol Heart Circ Physiol, vol. 283, 2002, pp. H1873-H1886.
[3] M. Brennan, M. Palaniswami, P. Kamen, "Do Existing measures of
Poincaré plot geometry reflect nonlinear features of heart rate
variability?", IEEE Trans Biomed Eng, vol. 48, 2001, pp. 1342-7.
[4] G. Parati, M. Renzo, G. Mancia, "How to measure baroreflex sensitivity:
from the cardiovascular laboratory to daily life", Journal of
Hypertension, vol. 18, 2000, pp. 18:7-19.
[5] B.E. Westerhof, J. Gisolf, W.J. Stok et al., "Time-domain crosscorrelation
barroreflex sensitivity: performance on the EUROBAVAR
data set", Journal of Hypertension, vol. 22, 2004, pp. 1371-80.
[6] M. Kamieniarz, W. Stryla, P. Haglauer, G. Kamieniarz, "Computer tests
assessment of the children hand dexterity", Eurorehab 2000, pp. 73-80.
[7] R. Schneider, P. Barthel, A. Bauer et al., "libRASCH - A Programming
Framework for Signal Handling", Proceedings Computer in Cardiology,
vol. 31, 2004, pp. 53-56.
[8] P. Guzik, J. Piskorski, T. Krauze et al., "The autonomic modulating
effects of changing respiratory rate on HRV are portrayed by novel
descriptors of Poicaré plot analysis", Proceedings from the Joint ISE and
ISHNE Congress. Folia Cardiologica, 2005; 12 suppl: in press.
[9] McGinnis S, Madden TL, "BLAST: at the core of a powerful and
diverse set of sequence analysis tools", Nucleic Acids Res, vol. 32, 2004,
pp. W20-5.
[10] S.F. Altschul, T.L. Madden, A.A. Schaffer, J. Zhang, Z. Zhang, W.
Miller, D.J. Lipman, "Gapped BLAST and PSI-BLAST: a new
generation of protein database search programs", Nucleic Acids Res, vol.
25(17), 1997, pp. 3389-402.
[11] V. Mathiowetz, K. Weber, G. Volland, N. Kashman, "Reliability and
validity of hand strength evaluation", J. Hand Surg, vol. 9A, 1984, pp.
222-226.
[12] R.H. Jebsen, N. Taylor, R.B. Trieschman, M.J. Trotter, M.J. Howardx,
"An objective and stardardized test of hand function", Arch. Phys. Med.
Rehabil., vol. 50, 1969, pp. 311-319.
[13] C. Stein, E.J. Yerxa, "A test of fine finger dexterity", Am J. Occup Ther.,
vol. 44, 1990, pp. 499-504.
[14] J. Desrosiers, G. Bravo, R. Hebert, E. Dutil, L. Mercier, "Validation of
the Box and Block Test as a measure of dexterity of elderly people:
reliability, validity, and norms studies", Arch. Phys. Med. Rehabil., vol.
75, 1994, pp. 751 - 755.
[15] S. van Langveld, P. vant Pad Bosch, J. Bakker, S. Terwindt, M.
Fraussen, P. van Riel, "Sequentional occupational dexterity assessment
(SODA): a new test to measure hand disability", J. Hand Ther., vol. 9,
1996, pp. 27-32.
[1] "Task Force of the European Society of Cardiology and the North
American Society of Pacing and Electrophysiology. Heart rate
variability: standards of measurements, physiological interpretation and
clinical use. Circulation", vol. 93, 1996, pp. 1043-65.
[2] M. Brennan, M. Palaniswami, P. Kamen, "Poincaré plot interpretation
using a physiological model of HRV based on a network of oscillators",
Am J Physiol Heart Circ Physiol, vol. 283, 2002, pp. H1873-H1886.
[3] M. Brennan, M. Palaniswami, P. Kamen, "Do Existing measures of
Poincaré plot geometry reflect nonlinear features of heart rate
variability?", IEEE Trans Biomed Eng, vol. 48, 2001, pp. 1342-7.
[4] G. Parati, M. Renzo, G. Mancia, "How to measure baroreflex sensitivity:
from the cardiovascular laboratory to daily life", Journal of
Hypertension, vol. 18, 2000, pp. 18:7-19.
[5] B.E. Westerhof, J. Gisolf, W.J. Stok et al., "Time-domain crosscorrelation
barroreflex sensitivity: performance on the EUROBAVAR
data set", Journal of Hypertension, vol. 22, 2004, pp. 1371-80.
[6] M. Kamieniarz, W. Stryla, P. Haglauer, G. Kamieniarz, "Computer tests
assessment of the children hand dexterity", Eurorehab 2000, pp. 73-80.
[7] R. Schneider, P. Barthel, A. Bauer et al., "libRASCH - A Programming
Framework for Signal Handling", Proceedings Computer in Cardiology,
vol. 31, 2004, pp. 53-56.
[8] P. Guzik, J. Piskorski, T. Krauze et al., "The autonomic modulating
effects of changing respiratory rate on HRV are portrayed by novel
descriptors of Poicaré plot analysis", Proceedings from the Joint ISE and
ISHNE Congress. Folia Cardiologica, 2005; 12 suppl: in press.
[9] McGinnis S, Madden TL, "BLAST: at the core of a powerful and
diverse set of sequence analysis tools", Nucleic Acids Res, vol. 32, 2004,
pp. W20-5.
[10] S.F. Altschul, T.L. Madden, A.A. Schaffer, J. Zhang, Z. Zhang, W.
Miller, D.J. Lipman, "Gapped BLAST and PSI-BLAST: a new
generation of protein database search programs", Nucleic Acids Res, vol.
25(17), 1997, pp. 3389-402.
[11] V. Mathiowetz, K. Weber, G. Volland, N. Kashman, "Reliability and
validity of hand strength evaluation", J. Hand Surg, vol. 9A, 1984, pp.
222-226.
[12] R.H. Jebsen, N. Taylor, R.B. Trieschman, M.J. Trotter, M.J. Howardx,
"An objective and stardardized test of hand function", Arch. Phys. Med.
Rehabil., vol. 50, 1969, pp. 311-319.
[13] C. Stein, E.J. Yerxa, "A test of fine finger dexterity", Am J. Occup Ther.,
vol. 44, 1990, pp. 499-504.
[14] J. Desrosiers, G. Bravo, R. Hebert, E. Dutil, L. Mercier, "Validation of
the Box and Block Test as a measure of dexterity of elderly people:
reliability, validity, and norms studies", Arch. Phys. Med. Rehabil., vol.
75, 1994, pp. 751 - 755.
[15] S. van Langveld, P. vant Pad Bosch, J. Bakker, S. Terwindt, M.
Fraussen, P. van Riel, "Sequentional occupational dexterity assessment
(SODA): a new test to measure hand disability", J. Hand Ther., vol. 9,
1996, pp. 27-32.
@article{"International Journal of Medical, Medicine and Health Sciences:57466", author = "P. Kowalska and P. Gabka and K. Kamieniarz and M. Kamieniarz and W. Stryla and P. Guzik and T. Krauze", title = "Computer Software Applicable in Rehabilitation, Cardiology and Molecular Biology", abstract = "We have developed a computer program consisting of
6 subtests assessing the children hand dexterity applicable in the
rehabilitation medicine. We have carried out a normative study on a
representative sample of 285 children aged from 7 to 15 (mean age
11.3) and we have proposed clinical standards for three age groups
(7-9, 9-11, 12-15 years). We have shown statistical significance of
differences among the corresponding mean values of the task time
completion. We have also found a strong correlation between the task
time completion and the age of the subjects, as well as we have
performed the test-retest reliability checks in the sample of 84
children, giving the high values of the Pearson coefficients for the
dominant and non-dominant hand in the range 0.740.97 and
0.620.93, respectively.
A new MATLAB-based programming tool aiming at analysis of
cardiologic RR intervals and blood pressure descriptors, is worked
out, too. For each set of data, ten different parameters are extracted: 2
in time domain, 4 in frequency domain and 4 in Poincaré plot
analysis. In addition twelve different parameters of baroreflex
sensitivity are calculated. All these data sets can be visualized in time
domain together with their power spectra and Poincaré plots. If
available, the respiratory oscillation curves can be also plotted for
comparison. Another application processes biological data obtained
from BLAST analysis.", keywords = "Biomedical data base processing, Computer
software, Hand dexterity, Heart rate and blood pressure variability.", volume = "1", number = "11", pages = "583-6", }
