Kabat rehabilitation for Bell’s palsy in the elderly

Monini, Simonetta; Buffoni, Antonella; Romeo, Martina; Traglia, Mario Di; Filippi, Chiara; Atturo, Francesca; Barbara, Maurizio

doi:10.1080/00016489.2016.1262553

Cited by 33 publications

(53 citation statements)

References 7 publications

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“…Simonetta et al demonstrated speedy recovery showing two-HB grade improvement with KR compared to the control group 1 . Our participant demonstrated four-HB grade improvement, which is in line, but much more improvement than that shown in the study by Simonetta et al 1 . Simonetta et al in another study 2 and Barbara et al 4 demonstrated speedy recovery with KR in large number of participants of different age and varied severity grades which is consistent with our fi ndings.…”

Section: Discussionsupporting

confidence: 91%

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Effectiveness of Kabat Rehabilitation Combined with Facial Expressive and Functional Exercises in Treatment of Bell’s Palsy: A Case Study

Adhikari

Shrestha

Subedi³

2019

Nep J Neurosci

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Lower motor facial nerve palsy also called Bell’s palsy is of peripheral origin, which is a common condition globally. Different therapeutic interventions have shown improvement in patients with Bell’s palsy. Here, we administered Kabat rehabilitation combined with facial expressive and functional exercises in a patient with Bell’s palsy who was treated for three weeks. Changes with the intervention were measured using Sunny-Brooke classification scoring system and House Brachmann Facial Grading scale. This case study demonstrated faster and good recovery with the combined intervention in early Bell’s palsy compared to the evidence in literatures. Eyes closure was complete. Facial symmetry and well-defined facial expressions were seen after the treatment. However, clinical trials are recommended for its clinical implication.

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Section: Discussionsupporting

confidence: 91%

“…Circuit training. Exercise: rest = 1:1, one session per day for 30 minutes, six days per week for 21 days 1,2,4 . KR was followed by FEFE.…”

Section: Physiotherapist Administered Kabat Rehabilitationmentioning

confidence: 99%

Effectiveness of Kabat Rehabilitation Combined with Facial Expressive and Functional Exercises in Treatment of Bell’s Palsy: A Case Study

Adhikari

Shrestha

Subedi³

2019

Nep J Neurosci

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“…Outro ECAC, também de Monini e colaboradores, 20 de dezembro de 2016 (Quadro IV), incluiu 104 participantes admitidos no serviço de urgência de um hospital terciário, com o diagnóstico de PB severa (HB graus IV e V). Os participantes foram divididos em dois grupos com base na atitude terapêutica: grupo controlo (n=66) tratado com corticoterapia e grupo experimental (n=38) tratado com corticoterapia e MFR -método de Kabat.…”

Section: Ecacunclassified

Medicina física e de reabilitação no tratamento da paralisia de BELL – qual a evidência?

Vale

Marçalo

Martins

et al. 2019

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A paralisia facial periférica (PFP) resulta da lesão neuronal periférica do nervo facial (VII) que pode ocorrer a qualquer nível do seu trajeto, do núcleo protuberancial à junção neuromuscular. 1 Constitui a lesão periférica dos nervos cranianos mais comum. 2 A PFP pode ser primária (idiopática ou paralisia de Bell [PB]), correspondendo a 75% dos casos, ou secundária a múltiplas causas, entre as

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“…This nerve damage produces an extreme asymmetrical appearance which can be especially significant in the eyes, brow and mouth regions of the face both when at rest and during the forming of facial expressions. Previous medical research [3]- [5] has highlighted the correlation between patient outcomes and the diagnosis and rehabilitation prescribed by trained medical professionals, specialised therapy plans tailored via regular feedback resulted in the best patient outcomes [6]. The potential to use such a system on a smart device has the potential to provide the clinician with more regular objective feedback on the condition and tailor therapy without always needing to physically see the patient.…”

Section: Introductionmentioning

confidence: 99%

3DPalsyNet: A Facial Palsy Grading and Motion Recognition Framework Using Fully 3D Convolutional Neural Networks

et al. 2019

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The capability to perform facial analysis from video sequences has significant potential to positively impact in many areas of life. One such area relates to the medical domain to specifically aid in the diagnosis and rehabilitation of patients with facial palsy. With this application in mind, this paper presents an end-to-end framework, named 3DPalsyNet, for the tasks of mouth motion recognition and facial palsy grading. 3DPalsyNet utilizes a 3D CNN architecture with a ResNet backbone for the prediction of these dynamic tasks. Leveraging transfer learning from a 3D CNNs pre-trained on the Kinetics data set for general action recognition, the model is modified to apply joint supervised learning using center and softmax loss concepts. 3DPalsyNet is evaluated on a test set consisting of individuals with varying ranges of facial palsy and mouth motions and the results have shown an attractive level of classification accuracy in these tasks of 82% and 86% respectively. The frame duration and the loss function affect was studied in terms of the predictive qualities of the proposed 3DPalsyNet, where it was found shorter frame duration's of 8 performed best for this specific task. Centre loss and softmax have shown improvements in spatio-temporal feature learning than softmax loss alone, this is in agreement with earlier work involving the spatial domain.

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Kabat rehabilitation for Bell’s palsy in the elderly

Cited by 33 publications

References 7 publications

Effectiveness of Kabat Rehabilitation Combined with Facial Expressive and Functional Exercises in Treatment of Bell’s Palsy: A Case Study

Effectiveness of Kabat Rehabilitation Combined with Facial Expressive and Functional Exercises in Treatment of Bell’s Palsy: A Case Study

Medicina física e de reabilitação no tratamento da paralisia de BELL – qual a evidência?

3DPalsyNet: A Facial Palsy Grading and Motion Recognition Framework Using Fully 3D Convolutional Neural Networks

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