Smart Textiles to Track Progressive Spinal Deformity

智能纺织品可追踪进行性脊柱畸形

基本信息

  • 批准号:
    8710641
  • 负责人:
  • 金额:
    $ 22.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-04-05 至 2016-03-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Abstract Spinal deformities occur in the young (adolescents) and the elderly. In childhood scoliosis and Scheuermann's kyphosis are two relatively common conditions that progress with growth. Current treatment paradigms for these deformities include observation, brace treatment and surgery. Observation involves serial clinical follow- up typically requiring radiographic evaluation with the exposure of young individuals to ionizing radiation. The lifetime accumulated dose of radiation can be significant. Frequent (every 4 months) trips to the doctor are inconvenient to the family. A smart strategy that minimizes x-rays and doctor visits would be very significant. Scoliosis can progress at a rate of 1-3 degrees per month during the adolescent growth spurt. If the curve exceeds 25 - 30 degrees and there is substantial growth remaining brace treatment is the current recommended treatment. If the curve reaches 45-50 degrees then surgery is usually recommended. Scheuermann's kyphosis progression rates are unclear, but once the deformity reaches 75-80 degrees surgery is usually considered. A smart textile garment technology that could accurately detect deformity progression (or lack thereof) could help optimize medical care by minimizing unnecessary doctor visits and radiographs. It could also potentially discern deformity progression allowing for appropriate repeat evaluation. Sensing technology does not currently exist that is at once convenient, comfortable and aesthetically acceptable for a scoliosis patient to wear to monitor deformities of the spine. It is the objective of this project to develop smart textile technology that would make possible a shirt capable of sensing spinal curvature through sensors integrated into the fabric. Ultimately this garment would conform to the body and could be worn alone or under another shirt without any visible evidence that the clothing had an orthotic function. This smart textile technology has the potential to be applied in multiple applications in addition to monitoring deformity progression.
描述(由申请人提供):摘要脊柱畸形发生在年轻人(青少年)和老年人。在儿童时期,脊柱侧凸和Scheuermann脊柱后凸是两种相对常见的疾病,随着生长而进展。目前对这些畸形的治疗方法包括观察、支具治疗和手术。观察包括一系列临床随访,通常需要对年轻个体暴露于电离辐射进行放射学评价。终生累积的辐射剂量可能很大。经常(每4个月)去看医生对家庭来说是不方便的。一个聪明的策略,最大限度地减少X光和医生的访问将是非常重要的。在青少年的生长突增期,脊柱侧凸可以以每月1-3度的速度发展。如果弯曲超过25 - 30度,并且有大量的增长,那么目前推荐的治疗方法是支具治疗。如果弯曲达到45-50度,则通常建议手术。Scheuermann后凸畸形的进展率尚不清楚,但一旦畸形达到75-80度,通常会考虑手术。智能纺织服装技术可以准确地检测畸形进展(或缺乏),可以通过减少不必要的医生访问和X光片来帮助优化医疗护理。它还可能辨别畸形进展,允许适当的重复评价。目前不存在对于脊柱侧凸患者来说既方便、舒适又美观可接受的传感技术来佩戴以监测脊柱的畸形。该项目的目标是开发智能纺织技术,使衬衫能够通过集成到织物中的传感器感知脊柱弯曲。最终,这种服装将符合身体,可以单独穿着或穿在另一件衬衫下面,而没有任何可见的证据表明服装具有矫正功能。除了监测畸形进展外,这种智能纺织技术还具有应用于多种应用的潜力。

项目成果

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Tom Plocher其他文献

Tom Plocher的其他文献

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{{ truncateString('Tom Plocher', 18)}}的其他基金

Interactive Game to Support Children's Learning About Tobacco and the Human Body
支持儿童学习烟草和人体的互动游戏
  • 批准号:
    8967748
  • 财政年份:
    2015
  • 资助金额:
    $ 22.5万
  • 项目类别:

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