Identification of anatomical locations: its relevance for vibrotactile perception of individuals with Parkinson's disease.

IF 2.9 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Ankita Raghuvanshi, Priya Pallavi, Rahul Chhatlani, Jayesh Parmar, Manish Rana, Sagar Betai, Uttama Lahiri
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引用次数: 0

Abstract

Background: Vibrotactile input is a useful sensory cue for individuals with Parkinson's Disease (PD) to overcome freezing of gait (FoG). For this input to serve as a cue, its accurate perception is required. This needs the input to be delivered at an anatomical location where it can be perceived. This is particularly true for individuals with PD whose tactile perception differs from that of healthy individuals. Literature indicates choice of various anatomical locations e.g., Finger, Wrist, Thigh, Shin, Calf, Ankle, Achilles Tendon, Heel and torso for the application of vibrotactile stimulation. Though studies have focused on the comparison of the vibrotactile perception (based on feedback) at various anatomical locations, yet these have involved only healthy individuals. However, such exploration remains as majorly untouched for individuals with PD.

Methods: To bridge this gap, here we have conducted a study using our vibrotactile stimulation system while involving twenty-one individuals with PD to understand the choice of anatomical location with regard to vibrotactile perception. In addition, our study involved twenty-one age-matched healthy individuals to understand possible differences if any in vibrotactile perception between the two groups of participants.

Results: Our results showed that for the healthy participants, both 'Wrist' and 'Thigh' were equally strong anatomical locations with regard to vibrotactile perception that were correctly identified 100% of the time closely followed by 'Finger' for which the correct identification was 98% of the time with correct identification for all these three locations being statistically (p < 0.05) higher than the other locations. In contrast, for individuals with PD, the 'Thigh' emerged as a strong candidate anatomical location with regard to vibrotactile perception even for those with severity of symptoms (based on clinical measure) that was correctly identified 96% of the time followed by 'Wrist' for which the correct identification was 92% of the time with the correct identification for only the 'Thigh' being statistically (p < 0.05) higher than all the other locations (except 'Wrist').

Conclusion: This finding is clinically significant in deciding the right anatomical location to offer vibrotactile cues for it to be correctly perceived by one with PD, providing assistance to overcome FoG.

背景:振动触觉输入是帕金森病(PD)患者克服步态冻结(FoG)的有效感觉线索。要使这种输入起到提示作用,就必须准确感知这种输入。这就需要在能够感知的解剖位置提供输入。对于触觉感知与健康人不同的帕金森氏症患者来说,这一点尤为重要。文献表明,可以选择不同的解剖位置(如手指、手腕、大腿、胫骨、小腿、脚踝、跟腱、脚跟和躯干)进行振动触觉刺激。虽然研究重点是比较不同解剖位置的振动触觉感知(基于反馈),但这些研究只涉及健康人。然而,对于患有帕金森氏症的人来说,这种探索仍是空白:为了填补这一空白,我们使用振动触觉刺激系统进行了一项研究,同时让 21 名帕金森氏症患者参与其中,以了解他们对振动触觉感知解剖位置的选择。此外,我们还对 21 名年龄匹配的健康人进行了研究,以了解两组参与者在振动触觉感知方面可能存在的差异:结果:我们的研究结果表明,对于健康参与者来说,"手腕 "和 "大腿 "同样是振动触觉感知能力较强的解剖位置,100% 的人都能正确识别,紧随其后的是 "手指",98% 的人都能正确识别,这三个位置的正确识别率在统计学上都是 (p) :这一发现对于确定正确的解剖位置以提供振动触觉线索,从而使肢体缺损症患者正确感知振动触觉线索,帮助克服 FoG 具有重要的临床意义。
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来源期刊
BioMedical Engineering OnLine
BioMedical Engineering OnLine 工程技术-工程:生物医学
CiteScore
6.70
自引率
2.60%
发文量
79
审稿时长
1 months
期刊介绍: BioMedical Engineering OnLine is an open access, peer-reviewed journal that is dedicated to publishing research in all areas of biomedical engineering. BioMedical Engineering OnLine is aimed at readers and authors throughout the world, with an interest in using tools of the physical and data sciences and techniques in engineering to understand and solve problems in the biological and medical sciences. Topical areas include, but are not limited to: Bioinformatics- Bioinstrumentation- Biomechanics- Biomedical Devices & Instrumentation- Biomedical Signal Processing- Healthcare Information Systems- Human Dynamics- Neural Engineering- Rehabilitation Engineering- Biomaterials- Biomedical Imaging & Image Processing- BioMEMS and On-Chip Devices- Bio-Micro/Nano Technologies- Biomolecular Engineering- Biosensors- Cardiovascular Systems Engineering- Cellular Engineering- Clinical Engineering- Computational Biology- Drug Delivery Technologies- Modeling Methodologies- Nanomaterials and Nanotechnology in Biomedicine- Respiratory Systems Engineering- Robotics in Medicine- Systems and Synthetic Biology- Systems Biology- Telemedicine/Smartphone Applications in Medicine- Therapeutic Systems, Devices and Technologies- Tissue Engineering
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