Effect of ankle foot orthosis on gait parameters and functional ambulation in patients with stroke

Kesikburun, Serdar; Yavuz, Ferdi; Güzelküçük, Ümüt; Yaşar, Evren; Balaban, Birol

doi:10.5606/tftrd.2017.129

Cited by 21 publications

(13 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Strojniški vestnik -Journal of Mechanical Engineering 64(2018) 3,[185][186][187][188][189][190][191][192][193][194]…”

Section: Acknowledgementsunclassified

“…Ankle-foot orthosis (AFO) is a specially designed supportive medical device which is intended to i) control the motion of the ankle and subtalar joints, ii) compensate for muscle weakness and drop foot, iii) correct deformities in the ankle and subtalar joints due to injuries [1] and [2], stroke [3] and [4], and congenital anomalies such as cerebral palsy [5] to [7] and spina bifida [8] and [9]. Many different types of AFO are available for different biomechanical and clinical purposes.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Dorsal Trimline Approach for Passive-Dynamic Ankle-Foot Orthoses

Sürmen¹,

Akalan²,

Fetvaci³

et al. 2018

SV-JME

View full text Add to dashboard Cite

An ankle-foot orthosis (AFO) is an externally applied assistive device that encompasses the lower leg, ankle, and foot of the human body. In the current one-piece passive-dynamic AFO design, the trimming process is performed from lateral and medial parts of the ankle to ensure desired rotational displacement (hereafter referred to as Design I). In most cases, stress concentrations occurring over the trimmed regions during walking can cause permanent damage to the AFO. In this study, to reduce the stress concentration and ensure a homogeneous stress distribution, a new trimming approach is presented, in which the trim zones were transferred from lateral and medial to dorsal (hereafter referred to as Design II). Finite element analyses of the Designs I and II models were carried out. Displacement and von Mises stress values for both models under the same loading and boundary conditions were obtained. Maximum displacement values were 8.51 mm and 9.05 mm for Design I and Design II, respectively. Maximum stress values were 15.19 MPa and 6.70 MPa for Design I and Design II, respectively. For the similar range of motion of ankle joint, the novel design produced less stress and more homogeneous stress distribution than the currently used design, thus indicating that Design II would be more resistant to plastic deformation than Design I.

show abstract

“…Strojniški vestnik -Journal of Mechanical Engineering 64(2018) 3,[185][186][187][188][189][190][191][192][193][194]…”

Section: Acknowledgementsunclassified

Section: Introductionmentioning

confidence: 99%

A Novel Dorsal Trimline Approach for Passive-Dynamic Ankle-Foot Orthoses

Sürmen¹,

Akalan²,

Fetvaci³

et al. 2018

SV-JME

View full text Add to dashboard Cite

show abstract

“…Regardless of the significance of gait disorders, there is no widely accepted method for assessing the quality of walking. The most common methods of gait evaluation are the Berg Balance Scale (BBS) [2], dynamic gait index [3], 10-Meter Walk Test [4], 6-Min Walk Test [5], and the Functional Ambulation Categories (FACs) [6]. All these methods evaluate walking ability using different ranges and through the application of different tasks and specified ranges [7].…”

Section: Introductionmentioning

confidence: 99%

Tracking Foot Drop Recovery Following Lumbar-Spine Surgery, Applying Multiclass Gait Classification Using Machine Learning Techniques

Bidabadi

Tan

Murray

et al. 2019

Sensors

View full text Add to dashboard Cite

The ability to accurately perform human gait evaluation is critical for orthopedic foot and ankle surgeons in tracking the recovery process of their patients. The assessment of gait in an objective and accurate manner can lead to improvement in diagnoses, treatments, and recovery. Currently, visual inspection is the most common clinical method for evaluating the gait, but this method can be subjective and inaccurate. The aim of this study is to evaluate the foot drop condition in an accurate and clinically applicable manner. The gait data were collected from 56 patients suffering from foot drop with L5 origin gathered via a system based on inertial measurement unit sensors at different stages of surgical treatment. Various machine learning (ML) algorithms were applied to categorize the data into specific groups associated with the recovery stages. The results revealed that the random forest algorithm performed best out of the selected ML algorithms, with an overall 84.89% classification accuracy and 0.3785 mean absolute error for regression.

show abstract

“…AFO users have different ages, anatomy, gender, and lifestyles, and can be found at various stages of the disease or disability. Stroke [ 41 , 42 ], multiple sclerosis [ 43 ], cerebral palsy [ 3 , 44 , 45 ], foot drop [ 2 , 8 , 46 ], Charcot-Marie tooth [ 47 ], neck or spinal cord injury [ 48 ], sciatica [ 44 ], muscular dystrophy [ 49 ], or peroneal nerve injury [ 46 ] are the most common diseases that need an AFO to improve the kinematics and kinetics of the patients. Among the AFO functionality, the patient’s comfort, pain, and disability reduction should be an essential factor to consider.…”

Section: Discussionmentioning

confidence: 99%

A Review of Additive Manufacturing Studies for Producing Customized Ankle-Foot Orthoses

et al. 2022

View full text Add to dashboard Cite

Ankle-foot orthoses (AFO) are prescribed to improve the patient’s quality of life. Supporting weak muscles or restraining spastic muscles leads to smoother and more stable locomotion. Commonly, AFO are made using thermoplastic vacuum forming, which requires a long time for production and has limited design options. Additive manufacturing (AM) can solve this problem, leading to a faster and cheaper solution. This review aimed to investigate what is the state-of-art using AM for AFO. Evaluating the used manufacturing processes, customization steps, mechanical properties, and biomechanical features in humans would provide significant insights for further research. The database searches combined AM and AFO with no year or publication type restrictions. Studies must have examined outcomes on human participants with the orthoses built by AM. Other types of orthotic devices or different manufacturing techniques were excluded. Nineteen studies met the inclusion criteria. As stated by having all studies conducted in the last nine years, this is a very recent domain. Different AM processes have been used, with the majority relying on Fused Deposition Modeling. Overall, the manuscripts’ quality is deficient, which is critical to promoting further studies with higher samples. Except for one paper, AM-printed AFO was comparable or superior to the thermoplastic vacuum forming AFO in mechanical tests, kinematics, kinetics, and participant feedback.

show abstract

Effect of ankle foot orthosis on gait parameters and functional ambulation in patients with stroke

Cited by 21 publications

References 20 publications

A Novel Dorsal Trimline Approach for Passive-Dynamic Ankle-Foot Orthoses

A Novel Dorsal Trimline Approach for Passive-Dynamic Ankle-Foot Orthoses

Tracking Foot Drop Recovery Following Lumbar-Spine Surgery, Applying Multiclass Gait Classification Using Machine Learning Techniques

A Review of Additive Manufacturing Studies for Producing Customized Ankle-Foot Orthoses

Contact Info

Product

Resources

About