ORCID Profile
0000-0002-4781-4736
Current Organisation
Noakhali Science and Technology University
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Publisher: Research Square Platform LLC
Date: 19-03-2019
DOI: 10.21203/RS.2.147/V2
Abstract: Background The risk of falling is significantly higher in people with chronic stroke and it is, therefore, important to design interventions to improve mobility and decrease falls risk. Minimum Toe Clearance (MTC) is the key gait cycle event for predicting tripping-falls because it occurs mid-swing during the walking cycle where forward velocity of the foot is maximum. High forward velocity coupled with low MTC increases the probability of unanticipated foot-ground contacts. Training procedures to increase toe-ground clearance (MTC) have potential, therefore, as a falls prevention intervention. The aim of this project is to determine whether augmented sensory information via real-time visual biofeedback during gait training can increase MTC. Methods Participants will be over 18 years, have sustained a single stroke (ischaemic or hemorrhagic) at least 6 months previously, able to walk 50 metres independently and capable of informed consent. Using a secure web-based application (REDCap) 150 participants will be randomly assigned to either no-feedback (Control) or feedback (Experimental) groups, all will receive 10 sessions of treadmill training for up to 10 minutes at a self-selected speed over five to six weeks. The intervention group will receive real-time, visual biofeedback of MTC during training and will be asked to modify their gait pattern to match a required “target” criterion. Biofeedback is continuous for the first six sessions then progressively reduced (faded) across the remaining four sessions. Control participants will walk on the treadmill without biofeedback. Gait assessments are conducted at baseline, immediately following the final training session and then during follow-up, at 1, 3 and 6 months. The primary outcome measure is MTC. Monthly falls calendars will also be collected for 12 months from enrolment. Discussion The project will contribute to understanding how stroke-related changes to sensory and motor processes influence gait biomechanics and associated tripping risk. The research findings will guide our work in gait rehabilitation following stroke and may reduce falls rates. Treadmill training procedures incorporating continuous real-time feedback may need to be modified to accommodate stroke patients who have greater difficulties with treadmill walking.
Publisher: Research Square Platform LLC
Date: 27-12-2018
DOI: 10.21203/RS.2.147/V1
Abstract: Background: The risk of falling is significantly higher in people with chronic stroke and it is, therefore, important to design interventions to improve mobility and decrease falls risk. Minimum Toe Clearance (MTC) is the key gait cycle event for predicting tripping-falls because it occurs mid-swing during the walking cycle where forward velocity of the foot is maximum. High forward velocity coupled with low MTC increases the probability of unanticipated foot-ground contacts. Training procedures to increase toe-ground clearance (MTC) have potential, therefore, as a falls prevention intervention. The aim of this project is to determine whether augmented sensory information via real-time visual biofeedback during gait training can increase MTC. Methods: Participants will be over 18 years, have sustained a single stroke (ischaemic or hemorrhagic) at least 6 months previously, able to walk 50 metres independently and capable of informed consent. Using a secure web-based application (REDCap) 150 participants will be randomly assigned to either no-feedback (Control) or feedback (Experimental) groups, all will receive 10 sessions of treadmill training for up to 10 minutes at a self-selected speed over five to six weeks. The intervention group will receive real-time, visual biofeedback of MTC during training and will be asked to modify their gait pattern to match a required “target” criterion. Biofeedback is continuous for the first six sessions then progressively reduced (faded) across the remaining four sessions. Control participants will walk on the treadmill without biofeedback. Gait assessments are conducted at baseline, immediately following the final training session and then during follow-up, at 1, 3 and 6 months. The primary outcome measure is MTC. Monthly falls calendars will also be collected for 12 months from enrolment. Discussion: This project will evaluate the impact of augmented sensory information, via visually presented biofeedback, for improving gait function in people with stroke. This has implications for the rehabilitation of gait disorders following stroke and may have the potential to reduce falls in this population.
Publisher: Springer Science and Business Media LLC
Date: 15-11-2014
Publisher: Springer Science and Business Media LLC
Date: 31-05-2019
Publisher: MDPI AG
Date: 13-12-2020
Abstract: Hemiplegic stroke often impairs gait and increases falls risk during rehabilitation. Tripping is the leading cause of falls, but the risk can be reduced by increasing vertical swing foot clearance, particularly at the mid-swing phase event, minimum foot clearance (MFC). Based on previous reports, real-time biofeedback training may increase MFC. Six post-stroke in iduals undertook eight biofeedback training sessions over a month, in which an infrared marker attached to the front part of the shoe was tracked in real-time, showing vertical swing foot motion on a monitor installed in front of the subject during treadmill walking. A target increased MFC range was determined, and participants were instructed to control their MFC within the safe range. Gait assessment was conducted three times: Baseline, Post-training and one month from the final biofeedback training session. In addition to MFC, step length, step width, double support time and foot contact angle were measured. After biofeedback training, increased MFC with a trend of reduced step-to-step variability was observed. Correlation analysis revealed that MFC height of the unaffected limb had interlinks with step length and ankle angle. In contrast, for the affected limb, step width variability and MFC height were positively correlated. The current pilot-study suggested that biofeedback gait training may reduce tripping falls for post-stroke in iduals.
Publisher: Elsevier BV
Date: 02-2007
DOI: 10.1016/J.GAITPOST.2006.03.008
Abstract: This paper models minimum foot clearance (MFC) data during steady-state gait to investigate how the various descriptive statistics of the MFC distribution differ in healthy young and elderly females. A minimum of 20min of treadmill walking was analysed for 17 young and 16 elderly females using a Peak Motus motion analysis system. The results indicated that none of the 33 participants' MFC data sets were Normally distributed. The deviation from a Normal distribution was systematic (always skewness>0 and kurtosis>0). Skewness and kurtosis in MFC data was highly correlated (young: r=0.60, p=0.01 elderly: r=0.95, p<0.01). MFC descriptive statistics provide useful information about basic strategies used by in iduals to minimize the likelihood of tripping. Possible strategies to minimize tripping include: (a) increasing MFC height central tendency, (b) reducing MFC variability, and/or (c) increasing right skewness. A low median MFC was often associated with a low IQR or high skewness to compensate. Further research is required to establish how, or if at all, these strategies are modified in populations that are more at risk of falling.
Publisher: Research Square Platform LLC
Date: 22-11-2021
DOI: 10.21203/RS.3.RS-1099054/V1
Abstract: The recent pandemic caused by the novel coronavirus SARS-CoV-2 has impacted global health by increasing mortality and unexpected infection rate. Extensive clinical research is undergoing to repurposing the old drug against this virus. So, this is an emerging need to develop therapy against the virus. Plant-derived natural products have proven to be potent therapeutics for several infections and diseases. Centella asiatica , is a native plant of the Indian subcontinent, has been vastly using as folk medicine against diseases including infectious diseases. So, using bioinformatics approach we identified and checked the phytochemicals of the plant as inhibitors against the main protease (Mpro), the key regulatory enzyme of the SARS-CoV-2 lifecycle. Computer-aided drug designing methods were performed to reveal the best nine drug-like phytochemicals those theoretically have the higher binding affinity of inhibiting Mpro. This outcome may direct to the development of potent therapeutics against the SARS-CoV-2 and demands experimental validation.
Location: Bangladesh
No related grants have been discovered for Firoz Ahmed.