Literature DB >> 16175816

Footprint peak time and functional ambulation profile reflect the potential for hemiparetic gait recovery.

Ekaterina B Titianova1, Plamen S Mateev, Sinikka H Peurala, Juhani Sivenius, Ina M Tarkka.   

Abstract

OBJECTIVE: Gait disturbances were monitored in patients with chronic stroke with a walkway built with pressure sensors in order to assess whether detailed gait and footprint information could provide verification for the potential for gait recovery.
METHODS: Gait variables (footprint peak times, temporal and spatial parameters and Functional Ambulation Profile, FAP, scores), were first recorded in 25 patients with chronic stroke at their preferred speed and 10 healthy volunteers walking from very slow to very fast. Patients and controls were divided into four groups based on the velocity performance. Secondly, the effect of rehabilitation on the footprint peak times was evaluated in another group of 20 chronic stroke patients. RESULTS AND
CONCLUSIONS: The footprint peak time behaviour of different patients with chronic stroke reflected their hemiparetic gait pattern. The slower patients had prolonged footprint peak times on the non-affected side (NS) and shorter values on the lateral footprint on the affected side (AS). The increased gait velocity and the FAP scores decreased the footprint peak times on both sides, especially on the NS. The rehabilitation increased the gait velocity with 18.2%, decreased the duration of the mid-foot and forefoot peak times on the NS and the lateral mid-foot peak times on the AS. A detailed analysis of the individual gait performance allows more accurate assessment of the potential for gait recovery.

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Year:  2005        PMID: 16175816     DOI: 10.1080/02699050400013634

Source DB:  PubMed          Journal:  Brain Inj        ISSN: 0269-9052            Impact factor:   2.311


  1 in total

1.  Changes in Kinetic Parameters of Gait in Patients with Supratentorial Unilateral Stroke in Chronic Period.

Authors:  Danche Vasileva; Nikolai Izov; Ivan Maznev; Daniela Lubenova; Marija Mihova; Velo Markovski; Carmen Nistor Cseppento
Journal:  Open Access Maced J Med Sci       Date:  2017-04-08
  1 in total

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