2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)最新文献_第4页

Pain detection with EEG using Phase Indexes 基于相位指标的脑电疼痛检测

2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) Pub Date : 2017-11-01 DOI: 10.1109/HIC.2017.8227581

D. Blanco, A. Díaz-Méndez

引用次数: 3

A novel filtration approach to create small unilamellar liposomes for drug delivery 一种新的过滤方法，以创建用于药物递送的小单层脂质体

2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) Pub Date : 2017-11-01 DOI: 10.1109/HIC.2017.8227585

Steven A. Roberts, N. Neelaveni, Nitin Agrawal

引用次数: 2

Ultra-sensitive paper-based biosensor for cortisol sensing in human saliva with electrical impedance analyzer 用电阻抗分析仪检测人唾液中皮质醇的超灵敏纸质生物传感器

2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) Pub Date : 2017-11-01 DOI: 10.1109/HIC.2017.8227615

Muhammad S. Khan, K. Dighe, Zhen Wang, A. Schwartz-Duval, Dr. Santoshi Misra, D. Pan

{"title":"Ultra-sensitive paper-based biosensor for cortisol sensing in human saliva with electrical impedance analyzer","authors":"Muhammad S. Khan, K. Dighe, Zhen Wang, A. Schwartz-Duval, Dr. Santoshi Misra, D. Pan","doi":"10.1109/HIC.2017.8227615","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227615","url":null,"abstract":"Cortisol, a hormone commonly released upon increased stress level, is a biomarker for numerous diseases and plays an important role in the regulation of various physiological processes. Normally a cortisol level is elevated in oral saliva during the time of anxiety and depression. A portable biosensor device could provide an interesting digital instrument to the patients and people who desire precautionary onsite cortisol diagnosis without visiting psychiatrists and/or physicians. We have developed disposable paper-based biosensor chip to monitor cortisol with a wide range of detection (RoD) from 1pg/mL to 10ng/mL with regression R2=0.9777. Ultra-sensitivity of the sensor with limit of detection (LoD) of 1 pg/mL has been achieved using nanocomposite of graphene nanoplatelet and diblock-co-polymer (poly(styrene)-block-poly(acrylic acid)) (PS-b-PAA) coated on filter paper followed by deposition of micro-Au electrodes. Standard cortisol in aqueous solution and human saliva samples were successfully tested by interfacing the sensor chip with programmable handheld impedance based analyzer. Results are finally compared with the standard ELISA and are in good agreement with R2=0.9386. We anticipate that this handheld electrochemical sensing technology has promising application to monitor psychological stress in POC setting.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134585572","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: 6

EEG-based biomarkers on working memory tasks for early diagnosis of Alzheimer's disease and mild cognitive impairment 基于脑电图的工作记忆任务生物标志物对阿尔茨海默病和轻度认知障碍的早期诊断

2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) Pub Date : 2017-11-01 DOI: 10.1109/HIC.2017.8227628

G. Q. Mamani, F. Fraga, Guilherme Tavares, E. Johns, N. Phillips

{"title":"EEG-based biomarkers on working memory tasks for early diagnosis of Alzheimer's disease and mild cognitive impairment","authors":"G. Q. Mamani, F. Fraga, Guilherme Tavares, E. Johns, N. Phillips","doi":"10.1109/HIC.2017.8227628","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227628","url":null,"abstract":"Alzheimer's Disease (AD) is a neurodegenerative syndrome affecting millions of people worldwide. Also, individuals with mild cognitive impairment (MCI) are in a group of risk that should be followed and treated since there is a high probability of evolution to AD. In this study we carried out an Event-Related Potential (ERP) analysis on patient and control groups from 32-channel EEG recorded during N-back working memory (WM) tasks with the aim of finding an ERP-based biomarker for early diagnosis of both AD and MCI. Participants were 15 AD patients, 20 individuals diagnosed with MCI and 26 age-matched healthy elderly (HE) controls. Subjects underwent a three-level visual N-back task with ascending memory load difficulty. Nonparametric Kruskal-Wallis tests with cluster correction and 5% significance level were used for statistical analysis. A considerable amount of significant differences between patient and control groups were found in the ERP during execution of the WM tasks, predominantly in fronto-centro-parietal electrodes. Such results are promising in the direction of achieving an early EEG-based diagnosis of MCI and AD.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"274 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121211966","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: 12

A novel approach for comparison of heart rate variability derived from synchronously measured electrocardiogram and photoplethysmogram 一种比较同步测量心电图和光容积描记图的心率变异性的新方法

2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) Pub Date : 2017-11-01 DOI: 10.1109/HIC.2017.8227599

R. R. Lekkala, Srinivas Kuntamalla

{"title":"A novel approach for comparison of heart rate variability derived from synchronously measured electrocardiogram and photoplethysmogram","authors":"R. R. Lekkala, Srinivas Kuntamalla","doi":"10.1109/HIC.2017.8227599","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227599","url":null,"abstract":"Currently, heart Rate Variability (HRV) is derived from ECG. Many researchers have explored the usefulness of photoplethysmography (PPG), for the analysis of HRV. However, all these studies are based on statistical approach and used the correlation coefficient for comparing the two data sets obtained using ECG and PPG, which is inappropriate as the causal relationship between the R-peaks in ECG and the peaks in PPG is a physiologically established fact. In this study, the heart beat intervals measured from PPG, are compared, beat by beat, by taking the corresponding beat intervals of same cardiac cycle obtained from ECG and the measurement error is quantized. The error is found to be within 2% across the entire sample of 42 subjects, in spite of diversified constitution of the study group in terms of age, sex and pathology. Errors are also interpreted in terms of variations in pulse transit time. A very good agreement is found between the ECG and PPG derived parameters of HRV. In view of these findings, it may be concluded that PPG provides a safer and low cost option, in place of ECG, as a wearable sensor outside hospital environment, for the analysis of HRV, without compromising on accuracy.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"6 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127402063","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: 4

How much data should we collect? A case study in sepsis detection using deep learning 我们应该收集多少数据?利用深度学习进行败血症检测的案例研究

2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) Pub Date : 2017-11-01 DOI: 10.1109/HIC.2017.8227596

F. van Wyk, Anahita Khojandi, R. Kamaleswaran, O. Akbilgic, S. Nemati, R. Davis

{"title":"How much data should we collect? A case study in sepsis detection using deep learning","authors":"F. van Wyk, Anahita Khojandi, R. Kamaleswaran, O. Akbilgic, S. Nemati, R. Davis","doi":"10.1109/HIC.2017.8227596","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227596","url":null,"abstract":"Sepsis is an acute, life-threatening condition that results from bacterial infections, often acquired in the hospital. Undetected, sepsis can progress to severe sepsis and septic shock, with a risk of death as high as 30% to 80%. Early detection of sepsis can improve patient outcomes. Collecting and evaluating continuous physiological variables, such as vital signs, using sophisticated classification algorithms may be highly beneficial to aid diagnosis of septic patients. However, setting up a data acquisition system that can collect (and store) high frequency/high volume data is challenging both from technology management and storage standpoints. In this paper, we build two deep learning models, a convolutional neural network and a multilayer perceptron model, to classify patients into sepsis and non-sepsis groups using data collected at various frequencies from the first 12 hours after admission. Our results indicate that the convolutional neural network model outperforms the multilayer perceptron model for all data collection frequencies. In addition, our results put into perspective the value of data collection frequency and translate its value into lives saved. Such analysis can guide future investments in data acquisition systems by hospitals.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127478397","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: 24

Optical intraocular pressure measurement system for glaucoma management 用于青光眼治疗的光学眼压测量系统

2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) Pub Date : 2017-11-01 DOI: 10.1109/HIC.2017.8227616

A. Phan, Phuong Truong, A. Kief, Milien Dhome, A. Camp, R. Weinreb, F. Talke

引用次数: 2

Battery-free force sensor for instrumented knee implant 无电池力传感器用于膝关节植入物

2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) Pub Date : 2017-11-01 DOI: 10.1109/HIC.2017.8227570

S. Almouahed, C. Hamitouche, P. Poignet, E. Stindel

{"title":"Battery-free force sensor for instrumented knee implant","authors":"S. Almouahed, C. Hamitouche, P. Poignet, E. Stindel","doi":"10.1109/HIC.2017.8227570","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227570","url":null,"abstract":"Energy harvesting inside human body is crucial for powering implantable long-term biomedical devices. In this paper, the performance of a piezoelectric energy harvester embedded within custom-designed knee implant in powering RF transmitter was evaluated through simulations. This power harvester is composed of four piezoelectric generators along with four off-the-shelf power conditioning circuits. It can harvest electric power from dynamic forces dissipated inside knee implant during walking. The results demonstrate the possibility to deliver a constant electric power of 59.4mW during a simulated walking cycle. This conditioned power can operate an off-the-shelf ultra-low power RF transmitter. This may eliminate the need for rechargeable batteries to power instrumented knee implants. The proposed piezoelectric generator along with the ultra-miniature power conditioning and telemetry circuits may be integrated within the knee implant without increasing its physical size or changing its geometrical shape significantly with respect to the conventional one. Therefore, its dynamic functionality and mechanical longevity may not be affected.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123685249","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: 4

Pulse waveform as an indicator of baseline offset in pulse transit time based blood pressure estimation 在基于脉冲传递时间的血压估计中，脉搏波形作为基线偏移的指标

2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) Pub Date : 2017-11-01 DOI: 10.1109/HIC.2017.8227576

Chen Lin, Yuan Zhou, Hu Wang, Yao Wang

{"title":"Pulse waveform as an indicator of baseline offset in pulse transit time based blood pressure estimation","authors":"Chen Lin, Yuan Zhou, Hu Wang, Yao Wang","doi":"10.1109/HIC.2017.8227576","DOIUrl":"https://doi.org/10.1109/HIC.2017.8227576","url":null,"abstract":"Cuff-less blood pressure (BP) estimation using pulse transit time (PTT) is a promising method for long-term BP monitoring. However, state-of-art PTT models are unable to trace the change of pressure baseline in subjects, which limits their application in long-term BP tracking. This study investigated the relationship between the change of pressure baseline and pulse waveform in long-term BP monitoring. In the study, a total of 36 subjects received daily monitoring of systolic BP (SBP) and PTT for over one month. Linear regression was used to develop the SBP-ln(PTT) model for each subject. SBP predictions with regression differences greater than + SD (7.63 mmHg) were assumed to be with positive/negative baseline offset. For each subject, 12 features extracted from pulse waveform were obtained and their values were converted to standard scores to quantify pulse waveform variation. Independent two-sample t-test showed five pulse wave features changed significantly when subjects' pressure baseline varied. Furthermore, the consistency of pulse waveform variation was validated over the change of pressure baseline in subjects. In summary, this study demonstrated that pulse waveform could indicate baseline offset in PTT-based BP estimation. By highlighting five pulse wave features, this study provides novel insights to overcome the challenge of frequent calibrations in long-term PTT-based BP monitoring.","PeriodicalId":120815,"journal":{"name":"2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121389913","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

Classification of asphyxia & ventricular fibrillation induced cardiac arrest for cardiopulmonary resuscitation

2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) Pub Date : 2017-11-01 DOI: 10.1109/HIC.2017.8227625

D. Bender, R. Morgan, V. Nadkarni, C. Nataraj

引用次数: 1