Pregled bibliografske jedinice broj: 27754
Gait pattern classification using measured vertical force data
Gait pattern classification using measured vertical force data // Proc. of the 8th International IMEKO Conference on Measurement in Clinical Medicine, BMI� ; 98 / Magjarević, Ratko (ur.).
Zagreb: Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA), 1998. str. 8.14-8.17 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Gait pattern classification using measured vertical force data
Autori
Lacković, Igor ; Bilas, Vedran ; Šantić, Ante ; Nikolić, Vasilije
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proc. of the 8th International IMEKO Conference on Measurement in Clinical Medicine, BMI� ; 98
/ Magjarević, Ratko - Zagreb : Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA), 1998, 8.14-8.17
Skup
8th International IMEKO Conference on Measurement in Clinical Medicine, BMI98
Mjesto i datum
Dubrovnik, Hrvatska, 16.09.1998. - 19.09.1998
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Gait classification; Vertical force; Temporal parameters; Attached capacitive transducers; Tel
Sažetak
Temporal gait parameters were measured with our computerbased multichannel telemetry system for measurement, display and analysis of vertical forces from ambulatory subjects. The examinees were 15 normal subjects and 15 patients with different ankle, knee and hip diseases. The subjects walked straight for 20m at their normal speed in their own comfortable shoes so at least ten consecutive strides without artifacts were recorded. Ten strides were enough to account the parameters variability and produce the stable mean. Left and right stance, swing and double stance were measured with the resolution of 0.003s. Then stride times and cadence were calculated, and normalization of gait cycle was performed. All parameters for each subject were averaged over ten strides, and the mean values for the group of normals and for the group of patients were calculated. Mean values and ranges for stance and for sum of left and right double stance are used to establish classification criteria. According to the analyzed normal group normal values of stance are 605%, and of double stance (left plus right) are 22.56%. Vertical force waveforms of normal subjects usually have two peaks, while patients waveforms have different patterns. That property facilitates the classification.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
