Connected health and telemedicine最新文献

Artificial intelligence streamlines diagnosis and assessment of prognosis in Brugada syndrome: a systematic review and meta-analysis 人工智能简化了 Brugada 综合征的诊断和预后评估：系统综述和荟萃分析

Connected health and telemedicine Pub Date : 2024-06-11 DOI: 10.20517/chatmed.2024.03

Cameron J. Leong, Sohat Sharma, Jayant Seth, Simon W. Rabkin

{"title":"Artificial intelligence streamlines diagnosis and assessment of prognosis in Brugada syndrome: a systematic review and meta-analysis","authors":"Cameron J. Leong, Sohat Sharma, Jayant Seth, Simon W. Rabkin","doi":"10.20517/chatmed.2024.03","DOIUrl":"https://doi.org/10.20517/chatmed.2024.03","url":null,"abstract":"Aim: The objective of this systematic review and meta-analysis was to determine the diagnostic and prognostic utility of artificial intelligence/machine learning (AI/ML) algorithms in Brugada Syndrome (BrS).\u0000 Methods: A systematic review and meta-analysis of the literature was conducted in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. MEDLINE, EMBASE, SCOPUS, and WEB OF SCIENCE databases were searched for relevant articles. Abstract and title screening, full-text review, and data extraction were conducted independently by two of the authors. Conflicts were resolved via discussion among authors. A risk-of-bias assessment was performed using the QUADAS-2 tool for diagnostic studies and the PROBAST tool for prognostic studies. Forest plots and the summary area under the receiver operating characteristic (SAUROC) curve were done in R.\u0000 Results: A total of 12 papers were included in our study. Among the best-performing diagnostic algorithms from each study, the sensitivity and specificity ranged from 0.80 to 0.89 and 0.74 to 0.97, respectively. In overall studies, sensitivity was 0.845 ± 0.014 and specificity was 0.892 ± 0.062 using a random effects model. A pooled analysis of the summary area under the receiver operating characteristic curve (SAUROC) was 0.77 for diagnostic studies. Prognostic studies showed good performance as well, with the AUC of the best-performing prognostic algorithms ranging from 0.71 to 0.90.\u0000 Conclusions: Overall, AI/ML algorithms had high diagnostic and prognostic accuracy. These results highlight the potential of AI/ML algorithms for the diagnosis and prognosis of BrS and permit a choice of the best-performing ML algorithms.","PeriodicalId":72693,"journal":{"name":"Connected health and telemedicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141359607","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

The pivotal role of data harmonization in revolutionizing global healthcare: a framework and a case study 数据协调在全球医疗保健变革中的关键作用：框架和案例研究

Connected health and telemedicine Pub Date : 2024-05-24 DOI: 10.20517/chatmed.2023.37

Vasileios C. Pezoulas, Dimitrios I. Fotiadis

{"title":"The pivotal role of data harmonization in revolutionizing global healthcare: a framework and a case study","authors":"Vasileios C. Pezoulas, Dimitrios I. Fotiadis","doi":"10.20517/chatmed.2023.37","DOIUrl":"https://doi.org/10.20517/chatmed.2023.37","url":null,"abstract":"Aim: Data harmonization standardizes healthcare information, enhancing accessibility and interoperability, which is crucial for improving patient outcomes and driving medical research and innovation. It enables precise diagnoses and personalized treatments, and boosts AI model efficiency. However, significant challenges such as ethical concerns, technical barriers in the data lifecycle, AI biases, and varied regional regulations impede progress, underscoring the need for solutions like adopting universal standards such as HL7 FHIR, where the lack of generalized harmonization efforts is significant.\u0000 Methods: We propose an advanced, holistic framework that utilizes FAIR-compliant reference ontologies (based on the FAIRplus and FAIR CookBook criteria) to make data findable, accessible, interoperable, and reusable enriched with terminologies from OHDSI (Observational Health Data Sciences and Informatics) vocabularies and word embeddings to identify lexical and conceptual overlaps across heterogeneous data models.\u0000 Results: The proposed approach was applied to autoimmune diseases, cardiovascular diseases, and mental disorders using unstructured data from EU cohorts involving 7,551 patients with primary Sjogren’s Syndrome, 25,000 patients with cardiovascular diseases, and 3,500 patients with depression and anxiety. Metadata from these datasets were structured into dictionaries and linked with three newly developed reference ontologies (ROPSS, ROCVD, and ROMD), which are accessible on GitHub. These ontologies facilitated data interoperability across different systems and helped identify common terminologies with high precision within each domain.\u0000 Conclusion: Through the proposed framework, we aim to urge the adoption of data harmonization as a priority, emphasizing the need for global cooperation, investment in technology and infrastructure, and adherence to ethical data usage practices toward a more efficient and patient-centered global healthcare system.","PeriodicalId":72693,"journal":{"name":"Connected health and telemedicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141101766","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

An exploratory study of the relationship between pulse transit time and blood pressure based on causal inference 基于因果推理的脉搏传输时间与血压关系的探索性研究

Connected health and telemedicine Pub Date : 2024-05-15 DOI: 10.20517/chatmed.2023.30

Xinyue Song, Xiaorong Ding

{"title":"An exploratory study of the relationship between pulse transit time and blood pressure based on causal inference","authors":"Xinyue Song, Xiaorong Ding","doi":"10.20517/chatmed.2023.30","DOIUrl":"https://doi.org/10.20517/chatmed.2023.30","url":null,"abstract":"Aim: We propose to examine the causal relationship between the noninvasive features represented by pulse transit time (PTT) and blood pressure (BP), with the aim of mitigating the impact of confounding factor(s) and thus improving the performance of BP estimation.\u0000 Methods: We identified the causal graph of BP and the important noninvasive features extracted from electrocardiogram (ECG) and photoplethysmogram (PPG) via fast causal inference (FCI) algorithm, with the orientations of the edges in the causal graph being determined by the causal generative neural networks (CGNN) algorithm. With the knowledge obtained from the causal graph, we further used hierarchical regression model to estimate BP, and validated the proposed method on 17 subjects.\u0000 Results: We found that the obtained causal graph was almost consistent with the prior knowledge, and heart rate (HR) was one of the main confounding factors of PTT and BP. Incorporating HR into the hierarchical regression model to eliminate its confounding effect on the PTT-based BP estimation, the mean value of SBP and DBP estimation was improved by 1.27 and 1.89 mmHg, respectively, and the mean absolute difference (MAD) was improved by 2.28 and 3.60 mmHg, respectively.\u0000 Conclusion: Causal inference-based method has the potential to clarify the causal relationship between BP and related wearable noninvasive features, which can further shed light on developing new methods for cuffless BP with acceptable accuracy.","PeriodicalId":72693,"journal":{"name":"Connected health and telemedicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140976366","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

Validation of deep learning models for cuffless blood pressure estimation on a large benchmarking dataset 在大型基准数据集上验证用于无袖带血压估算的深度学习模型

Connected health and telemedicine Pub Date : 2024-03-19 DOI: 10.20517/chatmed.2023.23

Yu Huang, Yonghu He, Zhengbi Song, Kun Gao, Yali Zheng

{"title":"Validation of deep learning models for cuffless blood pressure estimation on a large benchmarking dataset","authors":"Yu Huang, Yonghu He, Zhengbi Song, Kun Gao, Yali Zheng","doi":"10.20517/chatmed.2023.23","DOIUrl":"https://doi.org/10.20517/chatmed.2023.23","url":null,"abstract":"Objective: This study aims to evaluate the effectiveness of deep learning techniques in estimating cuffless blood pressure (BP) across a diverse patient population in intensive care units (ICUs).\u0000 Methods: A comprehensive ICU benchmarking dataset encompassing 2,154 patients with a wide demographic range (18-97 years old) and varied cardiovascular status was employed to validate several deep learning models in predicting continuous BP waveforms. Three methods were developed to enhance the model's generalizability to this heterogeneous dataset. Ten-fold subject-independent cross-validation was performed and the model performance was assessed through mean absolute error (MAE), Pearson’s correlation coefficient (PCC), and compared with significance analysis.\u0000 Results: The UTransBPNet_Demo_In model, which incorporated demographic and physiological signals as inputs, achieved a PCC of 0.89 and a MAE of 10.38 mmHg in predicting arterial BP waveforms, demonstrating the highest tracking capability among all models. Notably, the performance of UTransBPNet_Demo_In remained robust across variations in demographic and cardiovascular status.\u0000 Conclusion: The UTransBPNet_Demo_In model demonstrates robust predictive capabilities across a broad spectrum of demographics and cardiovascular conditions. Although the performance still needs further improvement, this study offers a benchmark in the field of cuffless BP monitoring in critical care settings for future studies.","PeriodicalId":72693,"journal":{"name":"Connected health and telemedicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140229744","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

A multi-channel photoplethysmography array with contact-force regulation for tonoarteriographic imaging 用于声调动脉成像的具有接触力调节功能的多通道光敏血压计阵列

Connected health and telemedicine Pub Date : 2024-02-19 DOI: 10.20517/chatmed.2023.11

Zi-Jun Liu, Ting Xiang, Ru-Shuang Zhou, Nan Ji, Yuan-ting Zhang

{"title":"A multi-channel photoplethysmography array with contact-force regulation for tonoarteriographic imaging","authors":"Zi-Jun Liu, Ting Xiang, Ru-Shuang Zhou, Nan Ji, Yuan-ting Zhang","doi":"10.20517/chatmed.2023.11","DOIUrl":"https://doi.org/10.20517/chatmed.2023.11","url":null,"abstract":"Aim: Photoplethysmography (PPG) has gained widespread popularity as a non-invasive method for potential cuff-less blood pressure (BP) measurement in smart devices. However, the accuracy of PPG-based devices is often hindered by motion artifacts, site variability, and inconsistent contact force (CF). This study aims to investigate the influence of CF variations on PPG signals.\u0000 Methods: To address these challenges, we present a novel approach involving a multi-channel PPG array integrated with CF regulation in the form of a wearable wristband. This platform enables the visualization of regional PPG/BP distribution while simultaneously monitoring CF. Moreover, our research explored the relationship between PPG waveform characteristics and CF during wrist extension.\u0000 Results: The results of this study reveal that the PPG amplitude (PPGA) and the b/a ratios, computed from the second derivative peaks of the PPG AC pulse wave, exhibit inconsistency in reaction to CF variations. Notably, a shape correlation coefficient of 0.65069 between normalized PPG and flipped CF sheds light on how changes in posture affect PPG measurements.\u0000 Conclusions: The proposed platform shows promise in mitigating the effects of CF and spatial positioning on PPG, thereby improving measurement precision and offering a novel approach to image tonoarteriographic (TAG) activities for continuous hypertension management.","PeriodicalId":72693,"journal":{"name":"Connected health and telemedicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140451520","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

Interventions of eHealth technologies integrated with non-physician health workers for improving management of hypertension: Systematic review and meta-analysis 电子健康技术与非医生卫生工作者相结合，改善高血压管理的干预措施：系统回顾与荟萃分析

Connected health and telemedicine Pub Date : 2023-12-29 DOI: 10.20517/chatmed.2023.09

Rajshree Thapa, W. Takele, Amanda Thrift, Aysegul Zengin

{"title":"Interventions of eHealth technologies integrated with non-physician health workers for improving management of hypertension: Systematic review and meta-analysis","authors":"Rajshree Thapa, W. Takele, Amanda Thrift, Aysegul Zengin","doi":"10.20517/chatmed.2023.09","DOIUrl":"https://doi.org/10.20517/chatmed.2023.09","url":null,"abstract":"Hypertension is a major public health problem, accounting for 7.5 million deaths and 57 million disability-adjusted life years annually worldwide. The majority of hypertension-related deaths occur in low- and middle-income countries (LMICs). Despite the escalating prevalence of hypertension in many LMICs, only one-third of those affected are aware of their hypertension status. The rapid proliferation of eHealth technologies presents an opportunity to improve the detection and management of hypertension. Many LMICs face a critical shortage of physicians, and their services often come at a considerable cost to the health system. Non-physician health workers could be a cost-effective alternative to improve the detection and management of hypertension, particularly in LMICs. In this systematic review, we aim to synthesize and evaluate the effectiveness of interventions that integrated eHealth technologies with non-physician health workers to reduce blood pressure. A diverse range of eHealth technologies, such as mobile-based applications, telemonitoring, short text messaging and electronic decision support systems, are being used by non-physician health workers for the management of hypertension. We found that eHealth technologies integrated with non-physician health workers reduced overall mean systolic blood pressure by -4.09 mmHg (95%CI: -5.87 to -2.32) compared to usual care. Similarly, such an integrated approach also reduced diastolic blood pressure by -1.25 mmHg (-2.31 to -0.81) in the intervention group than usual care. Therefore, leveraging the use of cost-effective eHealth technologies to support task-sharing with non-physicians presents an effective strategy for enhancing blood pressure management, applicable to both high- and low-income countries.","PeriodicalId":72693,"journal":{"name":"Connected health and telemedicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139144253","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

A protocol for digital cardiovascular prevention feasibility study using hybrid home blood pressure telemonitoring system 使用混合型家庭血压远程监测系统进行数字化心血管预防可行性研究的方案

Connected health and telemedicine Pub Date : 2023-12-25 DOI: 10.20517/chatmed.2023.08

K. Kario, M. Nishizawa, Nobuhiko Yasui, Takahiro Fujiwara, Takahiro Kunigita, N. Harada, S. Hoshide

引用次数: 0

Advancing cardiovascular disease prediction: portable or wearable devices for automatic and rapid blood sample collection for biomarker detection with simultaneous physiological marker measurement 推进心血管疾病预测:便携式或可穿戴设备，用于自动和快速采集血液样本，用于生物标志物检测，同时测量生理标志物

Connected health and telemedicine Pub Date : 2023-09-27 DOI: 10.20517/chatmed.2023.04

Xinrui Wang, Bee Luan Khoo, Shih-Chi Chen

引用次数: 0

Some perspectives of continuous arterial blood pressure measurements: from kymograph to tonoarteriographic imaging 连续动脉血压测量的一些观点:从心电图到血管造影成像

Connected health and telemedicine Pub Date : 2023-09-13 DOI: 10.20517/chatmed.2023.03

Zi-Jun Liu, Ting Xiang, Nan Ji, Yuan-Ting Zhang

引用次数: 0

Camera-based remote photoplethysmography for blood pressure measurement: current evidence, clinical perspectives, and future applications 基于相机的远程光电容积脉搏波测量血压:目前的证据，临床观点，和未来的应用

Connected health and telemedicine Pub Date : 2023-01-01 DOI: 10.20517/chatmed.2022.025

Theodore Curran, Daniel McDuff, Xin Liu, Girish Narayanswamy, Chengqian Ma, Shwetak Patel, Eugene Yang

引用次数: 1