Implementation of new 3D printed & advanced materials sensors for the bio analysis of dysphagia patients

实施新的3D打印

• 批准号: 2726166
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2726166
• 关键词: Implementation; new; 3D; printed; advanced

Dysphagia is difficulty in swallowing. Although classified under "symptoms and signs" in ICD-10, in some contexts it is classified as a condition in its own right. It may be a sensation that suggests difficulty in the passage of solids or liquids from the mouth to the stomach, a lack of pharyngeal sensation or various other inadequacies of the swallowing mechanism. Dysphagia is a common secondary symptom of many diseases, for example, 50-75% of stroke patients suffer from Dysphagia. In 2018, Stroke of the Nation, stated over 100,000 people suffer stroke yearly in the UK, with 1.2 million stroke survivors. This equates to 600,000- 850,000 dysphagia sufferers within the stroke cohort alone (pre-SARS-CoV-2/COVID 19). Viscgo estimates 187,000 UK yearly aspirational pneumonia cases. Adverse outcomes lead to avoidable illness and prolonged hospitalisation. Incorrect intervention can impede treatment, increase cost, length of hospitalisation stays and increase risk of severity or death.Current state of art to treat dysphagia include video fluoroscopy, a fiberoptic endoscopic evaluation of swallowing (FEES) test and diagnostic tools which are prohibitively expensive, inconclusive, and impractical to use regularly. Descriptor categorisations, which are inaccurate, time-consuming and require multiple components and dexterity (which also leads to user conflict), are intended for training only and are not recorded.Currently, speech and language therapists perform specific assessments when treating patients suffering from dysphagia. These assessments include recording and evaluation using tests (video fluoroscopy and FEES) that are then evaluated via a process of multiple pathways. These pathways are determined from results which are purely observational and therefore open to interpretation and as such are subjective. There are hundreds of different tests (and combination of these tests) currently used. Examples of tests include the turning of the patients head to one side and observing the swallowing function in the throat (eg speed of swallow, coughing or spluttering) or the nurse applying a compression against the patients throat and observing them whilst they swallow. These tests are all crude and without reliable outcome measures.Viscgo has developed a step change approach to dysphagia. They have developed a sensor capability that can be placed on the patients throat in order to quantitively and reproducibly assess the patients swallowing function. This PhD project will further develop this wearable technology by investigating the use of smart piezoelectric sensor arrays that have the capability to gain functional data to assist in the determination of physiology against food and drink related dependencies. In addition, this throat sensor technology will have the potential to also actively stimulate local and specific muscles involved in swallowing, thus offering a potential treatment to rehabilitate patients suffering from stroke induced dysphagia.

吞咽困难是吞咽困难。尽管在ICD-10中被归类为“症状和标志”，但在某些情况下，它本身被归类为条件。这可能是一种感觉，表明固体或液体从口腔到胃的液体的通过，缺乏咽部感觉或吞咽机构的其他各种不足之处。吞咽困难是许多疾病的常见次要症状，例如，50-75％的中风患者患有吞咽困难。 2018年，全国的中风表示，每年有100,000多人在英国中风，有120万中风幸存者。仅卒中队列中的600,000-850,000名吞咽困难的患者（Pre-Sars-Cov-2/covid 19）。 Viscgo估计有187,000英国年度肺炎。不良后果导致可避免的疾病和长期住院。错误的干预措施会阻碍治疗，增加成本，住院时间长度并增加严重或死亡的风险。治疗吞咽困难的艺术状态包括视频荧光镜检查，吞咽（FEES）测试（FEES）测试的纤维内窥镜评估和诊断工具，这些工具非常昂贵，不确定性，不确定性，无关紧要的，常规的，常规的，正常的。描述符分类不准确，耗时，需要多个组成部分和敏捷性（也导致用户冲突），仅用于培训，并且不记录下来。当然，语音和语言治疗师在治疗患有吞咽困难的患者时进行特定的评估。这些评估包括使用测试（视频荧光镜和费用）进行记录和评估，然后通过多种途径进行评估。这些途径是由纯粹是观察性的结果确定的，因此对解释开放，因此是主观的。当前使用的是数百种不同的测试（以及这些测试的组合）。测试的例子包括将患者转向一侧并观察喉咙中的吞咽功能（例如，吞咽，咳嗽或飞溅的速度）或对患者喉咙进行压缩并在吞咽同时观察喉咙的护士。这些测试都是粗略的，没有可靠的结果指标。他们已经开发了一种传感器能力，可以将其放置在患者喉咙上，以便对患者进行定量和可重复评估吞咽功能。该博士学位项目将通过调查使用智能压电传感器阵列的使用，进一步开发该可穿戴技术，这些传感器阵列有能力获得功能数据，以帮助确定针对食物和饮料相关的依赖性的生理学。此外，这种喉咙传感器技术将有可能积极刺激参与吞咽的局部和特定肌肉，从而提供潜在的治疗方法，以恢复患有中风引起的吞咽困难的患者。