CAREER: CPS: Internet of Wearable E-Textiles for Telemedicine

职业：CPS：用于远程医疗的可穿戴电子纺织品互联网

• 批准号: 1652538
• 负责人: Kunal Mankodiya
• 金额: $ 52.43万
• 依托单位: University of Rhode Island
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-06-01 至 2023-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1652538&HistoricalAwards=false
• 关键词: CAREER; CPS; Internet; Wearable; Textiles

This CAREER project aims to translate the smart electronic textile (e-textile) technologies to fill the need for telemedicine. For example, there are around 10 million individuals across the globe who live with Parkinson's disease. They are majorly elderly patients who experience tremors, rigidity, slowness of movement, and difficulties in walking and driving. Despite their disabling condition, they need to make periodic visits to clinics for progressive checks and interventions. The project specifically targets improving treatments for patients with deep brain stimulation (DBS) implants because specialized neurologists find DBS treatments very complex and time consuming. It is very important for the doctors to personalize the electrical stimulations for each and every patient. The proposed research establishes an intelligent infrastructure in patients' homes so that patients, without visiting clinics, could independently perform a medical screening consisting of movement exercises such as finger tapping, hand flipping, toe tapping, and foot stomping. Moreover, the system builds upon modern internet-of-things technologies to keep neurologists in the loop to execute telemedicine interventions. The project will result into an in-home, wearable internet-of-things hub (referred to as "IoT-Hub") consisting of smart e-textiles such as e-gloves, e-socks, and companion computing devices for data analytics, storage, and communications to the cloud servers of hospitals. IoT Hub will have unique features to translate the medical care from hospitals to homes: 1) the measurements of movement symptoms with a medical-grade precision through sensors woven into e-gloves and e-socks, 2) the patient-friendly interface driven by intelligent close-loop algorithms running on tablet computers, and 3) clinical data analytics for neurologists to make data-driven informed decision on DBS treatments. The proposed IoT-Hub closes the knowledge gap between the areas of IoT, healthcare, smart textiles, and patient-centered design - all of which require interdisciplinary scientific discoveries and innovations.This project will have a potentially profound impact on the growing number of elderly patients living with Parkinson's disease or other neurological conditions. Intelligent algorithms for wearable embedded systems, e-textile designs and circuits, and de-identified telemedicine data will be broadly disseminated to the scientific community. The PI has developed a unique IoT curriculum at URI that involves a series of design-centered activities; an IoT hack-a-thon for entrepreneurial thinking; and awearable IoT course for university students to learn innovating personalized health and wellness solutions; and wearable engineering program to engage high school students in hands-on engineering activities.

该CAREER项目旨在将智能电子纺织品（e-textile）技术转化为满足远程医疗需求的技术。例如，地球仪上大约有1000万人患有帕金森病。他们主要是老年患者，会出现震颤、僵硬、行动缓慢以及行走和驾驶困难。尽管他们的残疾状况，他们需要定期访问诊所进行渐进的检查和干预。该项目专门针对改善脑深部电刺激（DBS）植入患者的治疗，因为专业神经科医生发现DBS治疗非常复杂和耗时。这是非常重要的医生个性化的电刺激为每一个病人。拟议的研究在患者家中建立了一个智能基础设施，以便患者无需前往诊所，就可以独立进行医疗筛查，包括手指敲击，手翻转，脚趾敲击和跺脚等运动练习。此外，该系统建立在现代物联网技术的基础上，使神经科医生能够执行远程医疗干预。 该项目将产生一个家庭可穿戴物联网中心（称为“IoT中心”），由智能电子纺织品组成，如电子手套，电子袜和配套计算设备，用于数据分析，存储和与医院云服务器的通信。IoT Hub将具有独特的功能，可以将医疗护理从医院转移到家庭：1）通过编织到电子手套和电子袜中的传感器以医疗级精度测量运动症状，2）由平板电脑上运行的智能闭环算法驱动的患者友好界面，以及3）神经科医生的临床数据分析，以便对DBS治疗做出数据驱动的明智决策。物联网中心项目将填补物联网、医疗保健、智能纺织品和以患者为中心的设计等领域之间的知识鸿沟，所有这些领域都需要跨学科的科学发现和创新。该项目将对越来越多的帕金森病或其他神经系统疾病老年患者产生潜在的深远影响。可穿戴嵌入式系统、电子纺织品设计和电路以及去识别远程医疗数据的智能算法将广泛传播给科学界。PI在URI开发了一个独特的物联网课程，涉及一系列以设计为中心的活动;创业思维的物联网黑客通村;大学生学习创新个性化健康和保健解决方案的可穿戴物联网课程;以及可穿戴工程计划，让高中生参与动手工程活动。

项目成果

Towards a telehealth infrastructure supported by machine learning on edge/fog for Parkinson's movement screening

建立由边缘/雾机器学习支持的远程医疗基础设施，用于帕金森氏症的运动筛查

• DOI: 10.1016/j.smhl.2022.100351
• 发表时间: 2022
• 期刊: Smart Health
• 作者: Sadhu, Shehjar;Solanki, Dhaval;Constant, Nicholas;Ravichandran, Vignesh;Cay, Gozde;Saikia, Manob Jyoti;Akbar, Umer;Mankodiya, Kunal
• 通讯作者: Mankodiya, Kunal

A Smartwatch-Based Service Towards Home Exercise Therapy for Patients with Peripheral Arterial Disease

基于智能手表的外周动脉疾病患者家庭运动治疗服务

• DOI: 10.1109/smartcomp.2019.00047
• 发表时间: 2019
• 期刊: 2019 IEEE International Conference on Smart Computing (SMARTCOMP
• 作者: Constant, Nick;Frink, Travis;Delmonico, Matthew J.;Burbank, Patricia;Patterson, Robert;Simons, Jessica;Mankodiya, Kunal
• 通讯作者: Mankodiya, Kunal

MagicSox: An E-textile IoT system to quantify gait abnormalities

MagicSox：一种量化步态异常的电子纺织物联网系统

• DOI: 10.1016/j.smhl.2017.10.002
• 发表时间: 2018
• 期刊: Smart Health
• 作者: Abtahi, Mohammadreza;Gyllinsky, Joshua V.;Paesang, Brandon;Barlow, Scott;Constant, Matthew;Gomes, Nicholas;Tully, Oliver;D’Andrea, Susan E.;Mankodiya, Kunal
• 通讯作者: Mankodiya, Kunal

Disruptions of cortico-kinematic interactions in Parkinson’s disease

帕金森病中皮质运动相互作用的破坏

• DOI: 10.1016/j.bbr.2021.113153
• 发表时间: 2021
• 期刊: Behavioural Brain Research
• 影响因子: 2.7
• 作者: McLinden, J.;Deligani, R.J.;Abtahi, M.R.;Akbar, U.;Mankodiya, K.;Shahriari, Y.
• 通讯作者: Shahriari, Y.

A Comparative Characterization of Smart Textile Pressure Sensors

智能纺织压力传感器的比较特性

• DOI: 10.1109/embc.2019.8856901
• 发表时间: 2019
• 期刊: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC
• 作者: Kamara, Vanessa;Kargwal, Sahil K.;Constant, Nick;Gordon, Renee;Humphreys, George;Mankodiya, Kunal
• 通讯作者: Mankodiya, Kunal