Multi-modal Approaches for Treatment and Evaluation of Swallowing Insufficiencies
Sector: Education • Location: United Kingdom
Source: EU Funding & Tenders Portal
Human survival is dependent on swallowing because it underpins oral nutrition (eating/drinking) and protection of the respiratory tract. Swallowing difficulties (dysphagia) are a common consequence of a wide range of disorders (eg. stroke, head & neck cancers, ageing) with the results (dehydration/malnutrition/weight loss/increased susceptibility to pneumonia) linked to significant decline in qual
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Human survival is dependent on swallowing because it underpins oral nutrition (eating/drinking) and protection of the respiratory tract. Swallowing difficulties (dysphagia) are a common consequence of a wide range of disorders (eg. stroke, head & neck cancers, ageing) with the results (dehydration/malnutrition/weight loss/increased susceptibility to pneumonia) linked to significant decline in quality of life. There is significant need to improve diagnosis, monitoring and rehabilitation (eg. by developing novel stimulation devices). However, existing gaps in understanding of the co-ordination of muscle activity significantly limit current advances. The proposed research is structured to exploit a novel combination of imaging and neurophysiology methods to develop a new framework for non-invasive study of swallowing muscle function, which will support development and application of new tools for diagnosing, monitoring and treating swallowing disorders. Ultrasound/elastography/MR/videofluoroscopy imaging and myoelectric data will be combined with finite element modelling to provide state-of-the-art methods for analysis of the integration between muscle anatomical and mechanical properties and neural input. This will provide a paradigm shift in understanding the translation of neural commands to co-ordinated movement. It will underpin development of next generation computer simulations which are required for technology/diagnosis/treatment advances; improvements in patient care; reduced clinical/economic burden and sustainable healthcare systems. The multi-disciplinary skills the Fellowship is designed to develop are fundamental to the growth of the most promising researchers. They are also essential for advances in better disease diagnosis/more effective therapies/interventions and underpin the European Commission’s quest to keep older people independent for longer and promote personal health; a healthy workforce/economy and lower public health bill. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
