2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT)最新文献_第3页

Get Up!: Assessing Postural Activity & Transitions using Bi-Directional Gated Recurrent Units (Bi-GRUs) on Smartphone Motion Data 起来!在智能手机运动数据上使用双向门控循环单元(Bi-GRUs)评估姿势活动和转换

2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) Pub Date : 2019-11-01 DOI: 10.1109/HI-POCT45284.2019.8962729

kar 2402565399 ku, Luke Buquicchio, Walter Gerych, E. Agu, Elke A. Rundensteiner

{"title":"Get Up!: Assessing Postural Activity & Transitions using Bi-Directional Gated Recurrent Units (Bi-GRUs) on Smartphone Motion Data","authors":"kar 2402565399 ku, Luke Buquicchio, Walter Gerych, E. Agu, Elke A. Rundensteiner","doi":"10.1109/HI-POCT45284.2019.8962729","DOIUrl":"https://doi.org/10.1109/HI-POCT45284.2019.8962729","url":null,"abstract":"Many health conditions can affect a person’s mobility. Consequently, a person’s ability to perform transitions between activity states (e.g. sit-to-stand) are accurate measures of their mobility and general health. Mobility impairments can manifest either as discomfort while performing certain activity transitions or a complete inability to perform such transitions. The Timed up and Go (TUG) is an important clinical test that assesses patients’ sit-to-stand abilities. Research into passive methods to assess the quality of patients activity transitions and thus conduct the Timed Up and Go autonomously as they live their lives, have recently become popular. Machine and deep learning analysis of smartphone accelerometer and gyroscope data have demonstrated promising activity and transition recognition results. In this paper, we present Get Up!, a novel deep learning-based method to detect whether a person is performing a certain postural activity or transitioning between activities. Get Up! analyzes data from the accelerometer and gyroscope of the patient’s smartphone using Bi-Directional Gated Recurrent Units (Bi-GRU) neural networks with an attention mechanism. Our method outperforms TAHAR, the current state of the art machine learning method, achieving an error rate of 1.47% for activity classification and an accuracy of 97%. We also achieved an error rate of 0.17% with an accuracy of 93.3% when classifying postural transitions. As Get Up! segments activities and transitions, individual TUG sub-components can be timed to identify sub-components that patients find challenging.","PeriodicalId":269346,"journal":{"name":"2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130701753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Wearable and Stationary Point-of-Care IoT Air Pollution Sensors for Pediatric Asthma Research and Management* 用于儿童哮喘研究和管理的可穿戴式和固定式护理点物联网空气污染传感器*

2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) Pub Date : 2019-11-01 DOI: 10.1109/HI-POCT45284.2019.8962865

Quan Dong, Baichen Li, R. S. Downen, Nam Tran, Elizabeth Chorvinsky, D. Pillai, Mona E. Zaghloul, Zhenyu Li

{"title":"Wearable and Stationary Point-of-Care IoT Air Pollution Sensors for Pediatric Asthma Research and Management*","authors":"Quan Dong, Baichen Li, R. S. Downen, Nam Tran, Elizabeth Chorvinsky, D. Pillai, Mona E. Zaghloul, Zhenyu Li","doi":"10.1109/HI-POCT45284.2019.8962865","DOIUrl":"https://doi.org/10.1109/HI-POCT45284.2019.8962865","url":null,"abstract":"The lack of mechanistic understanding of pediatric asthma development is partly due the lack of objective measures of environmental exposure metrics correlated with physiological responses. Here we report cloud-based wearable and stationary IoT air pollution sensors which can measure an asthma patient’s exposure to ozone, NO2 and aldehydes in real-life settings. The wrist-watch shaped sensor can measure formaldehyde levels in air from 30ppb to 10ppm using fuel cell technology, and continuously operate over 7 days without recharging. The smart-speaker sized stationary sensor measures ozone and NO2 from 20ppb to 1000ppb in the air. The wearable sensor can wirelessly upload data to the stationary sensor or an Android smartphone via Bluetooth Low Energy (BLE). The stationary sensor or the smartphone functions as a gateway to a cloud-based informatics system which handles sensor data storage, management and analytics. Potential applications of these point-of-care IoT sensors include epidemiological studies of asthma development and exacerbations, personalized asthma management and environmental monitoring.","PeriodicalId":269346,"journal":{"name":"2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132705171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Gaze-based video games for assessment of attention outside of the lab 基于注视的视频游戏，用于评估实验室外的注意力

2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) Pub Date : 2019-11-01 DOI: 10.1109/HI-POCT45284.2019.8962737

J. Snider, L. Chukoskie

引用次数: 1

3D Printing for Whole Blood Filters Designed for Simple Integration with a Variety of Sensor Platforms 3D打印全血过滤器设计与各种传感器平台的简单集成

2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) Pub Date : 2019-11-01 DOI: 10.1109/HI-POCT45284.2019.8962623

Benjamin Ingis, Eon Soo Lee

{"title":"3D Printing for Whole Blood Filters Designed for Simple Integration with a Variety of Sensor Platforms","authors":"Benjamin Ingis, Eon Soo Lee","doi":"10.1109/HI-POCT45284.2019.8962623","DOIUrl":"https://doi.org/10.1109/HI-POCT45284.2019.8962623","url":null,"abstract":"The ability to quickly and easily measure biomarker concentrations in a blood sample is an important element in bringing lab-on-a-chip devices to widespread point of care use. One challenge facing the development of these systems is sample preparation, specifically in the case of whole human blood. Because the red blood cells present in a whole blood sample can interfere with sensor operation, cell-free plasma is often desired as the analyte. However, at the point of care, the input into such a device is most often whole blood from a finger prick. Thus, a system is required which can easily extract the plasma from a whole blood sample and deliver it to the sensor. Because of the wide range of sensing mechanisms available, a versatile sample preparation and delivery system is desired. In this work, we introduce a PDMS microchannel system, produced partially through the use of 3D printing, which can be easily integrated with any flat form factor sensor platform, such as electrodes deposited on a silicon wafer. The system is passive, requiring no external actuation. The channel system is tested with both blood mimicking fluid (100% particle removal) and porcine whole blood (95% particle removal), and the ease of integration with a sensor platform is demonstrated. Such a device is a step toward the realization of widespread lab-on-a-chip deployment.","PeriodicalId":269346,"journal":{"name":"2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123034024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Portable Colorimetric Reader for Early and Rapid Diagnosis of Sepsis 一种用于败血症早期快速诊断的便携式比色仪

2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) Pub Date : 2019-11-01 DOI: 10.1109/HI-POCT45284.2019.8962853

M. Shah, J. Joseph, R. Kedia, Shalini Gupta, V. Sritharan

{"title":"A Portable Colorimetric Reader for Early and Rapid Diagnosis of Sepsis","authors":"M. Shah, J. Joseph, R. Kedia, Shalini Gupta, V. Sritharan","doi":"10.1109/HI-POCT45284.2019.8962853","DOIUrl":"https://doi.org/10.1109/HI-POCT45284.2019.8962853","url":null,"abstract":"Septicemia or in short sepsis affects nearly 30 million people worldwide. Current clinical identification of sepsis includes culture-based methods that have a long turnaround time or monitoring of patient response that adds delay to therapy. There is currently no point-of-care care (PoC) device that allows both rapid and early sepsis diagnosis by the bedside. We have developed a portable colorimetric kit called Septiflo that gives concentration-dependent qualitative estimate of the sepsis-associated bacterial infection load in blood under 10 min. However, the results of this naked eye assessment remain somewhat subjective. In this paper, we present a handheld optical reader that can quantify the signal output of the Septiflo device making it a substantially more robust and accurate way to diagnose sepsis. The repeatability coefficient of variation (CoV) of this device when tested on five reference cartridges was found to be < 9 % and the reproducibility CoV across two reader instruments was < 8.2 %. The prototype instrument was also tested with human plasma samples in the clinically valid endotoxin concentration range of 1 to 1000 pg/mL. The calibrated values from the instrument and the known endotoxin concentrations correlated significantly with an R2 value of 0.97. The reader instrument’s hardware architecture and software algorithm are described below in detail.","PeriodicalId":269346,"journal":{"name":"2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123419712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3D Printed Microfluidic Actuation System for Multi-step Paper-based Assays 用于多步骤纸质检测的3D打印微流体驱动系统

2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) Pub Date : 2019-11-01 DOI: 10.1109/HI-POCT45284.2019.8962668

Sumeyra Agambayev, Mark S. Bailly, J. Christen

引用次数: 0

Weighted Extreme Learning Machine for Dengue Detection with Class-imbalance Classification 基于类不平衡分类的登革热检测加权极值学习机

2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) Pub Date : 2019-11-01 DOI: 10.1109/HI-POCT45284.2019.8962825

Wanchaloem Nadda, W. Boonchieng, E. Boonchieng

引用次数: 5

A Motion Free Image Based TRF Reader for Quantitative Immunoassay 一种用于定量免疫分析的无运动图像TRF阅读器

2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) Pub Date : 2019-11-01 DOI: 10.1109/HI-POCT45284.2019.8962655

S. Karthik, M. Shah, Satheesh Natarajan, Mahesh Shetty, J. Joseph

引用次数: 3

A Novel Nanoscale Electrode for Biosensing 一种新型纳米生物传感电极

2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) Pub Date : 2019-11-01 DOI: 10.1109/HI-POCT45284.2019.8962645

Alperen Guver, P. Milas, M. Guy, Mustafa T. Sigindere, M. Yigit, Birol Ozturk

{"title":"A Novel Nanoscale Electrode for Biosensing","authors":"Alperen Guver, P. Milas, M. Guy, Mustafa T. Sigindere, M. Yigit, Birol Ozturk","doi":"10.1109/HI-POCT45284.2019.8962645","DOIUrl":"https://doi.org/10.1109/HI-POCT45284.2019.8962645","url":null,"abstract":"Nanoscale electrodes are becoming increasingly popular in Scanning Electrochemical Microscopy (SECM) due to their unique inherent properties. However, their preparation with current methods is laborious and not cost-effective, hindering the effective use of SECM in nanoscale detection and imaging. We have developed a novel and cost-effective nanoscale SECM electrode preparation method with electrochemically grown gold nanowires. Our method allows simple diameter tuning of nanowires and their direct interfacing with tungsten wires, enabling facile electrode preparation. The method is very cost-efficient as salt solutions of target noble metals are used in growing nanowires directly from tapered tungsten wires. The selective detection of target molecule is achieved by attaching DNA aptamers on the electrode surface. DNA aptamers are terminated with Methylene Blue redox molecules and an electronic signal is recorded with standard voltammetry due to target induced conformal change in the aptamers. The aptamer-based nanowire electrodes were successfully utilized in the detection of picomolar concentration ATP molecules.","PeriodicalId":269346,"journal":{"name":"2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113955823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Acoustic Assessment of Treatment Response for Children with Acute Asthma Exacerbation 儿童急性哮喘加重治疗反应的声学评价

2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT) Pub Date : 2019-11-01 DOI: 10.1109/HI-POCT45284.2019.8962830

Adam Rao, Grant Pemberton, Sean Rubin, E. Wu, Aaron E. Kornblith

{"title":"Acoustic Assessment of Treatment Response for Children with Acute Asthma Exacerbation","authors":"Adam Rao, Grant Pemberton, Sean Rubin, E. Wu, Aaron E. Kornblith","doi":"10.1109/HI-POCT45284.2019.8962830","DOIUrl":"https://doi.org/10.1109/HI-POCT45284.2019.8962830","url":null,"abstract":"Asthma is the most common pediatric chronic illness and acute asthma exacerbations in children lead to numerous emergency department (ED) visits each year. Current methods to gauge a child’s response to treatment rely on a mixture of qualitative and quantitative measures and require experienced practitioners. In this work, we present a child-friendly acoustic device developed with the aim of expediting and quantifying assessment of treatment responsiveness for this vulnerable population. The device acquires measurements from a digital stethoscope as sound is sent through the chest using a custom chest exciter. In this work, we compared sound transmission from patients before and after administration of hospital albuterol sulfate nebulizer. One hundred and forty recordings were collected from ten children that presented to the ED for acute asthma exacerbation. Preliminary data is presented for these patients, demonstrating a shift of approximately 2 dB after treatment and relief of symptoms. This improvement was also validated using an established asthma assessment scoring system.","PeriodicalId":269346,"journal":{"name":"2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124449674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0