scholarly journals Wearable Wireless Physiological Monitoring System Based on Multi-Sensor

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 986
Author(s):  
Hongru Li ◽  
Guiling Sun ◽  
Yue Li ◽  
Runzhuo Yang
Keyword(s):  
Monitoring System ◽  
Health Management ◽  
Wearable Technology ◽  
Physiological Monitoring ◽  
Motion Data ◽  
Low Load ◽  
Measure Heart Rate ◽  
Body Surface Temperature ◽  
Continuous Work

The purpose of wearable technology is to use multimedia, sensors, and wireless communication to integrate specific technology into user clothes or accessories. With the help of various sensors, the physiological monitoring system can collect, process, and transmit physiological signals without causing damage. Wearable technology has been widely used in patient monitoring and people’s health management because of its low-load, mobile, and easy-to-use characteristics, and it supports long-term continuous work and can carry out wireless transmissions. In this paper, we established a Wi-Fi-based physiological monitoring system that can accurately measure heart rate, body surface temperature, and motion data and can quickly detect and alert the user about abnormal heart rates.

scholarly journals Long-Term Measurement of Maternal Pulse Rate Dynamics Using a Home-Based Sleep Monitoring System

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Ying Chen ◽  
Wenxi Chen ◽  
Kei-ichiro Kitamura ◽  
Tetsu Nemoto
Keyword(s):  
Monitoring System ◽  
Pulse Rate ◽  
Health Management ◽  
Recovery Period ◽  
Late Pregnancy ◽  
Recovery Process ◽  
Automatic Monitoring ◽  
Gaussian Mixture ◽  
Automatic Monitoring System

Major adaptations occur in the maternal cardiovascular system during pregnancy and after delivery; knowledge of these changes is essential to the health management of pregnant women. This paper presents a longitudinal study and proposes a methodology to monitor daily pulse rates (PRs) and characterize the weekly changes in maternal PRs before and after delivery. PRs were recorded during nightly sleep using an automatic monitoring system. PRs of the nonpregnant woman were taken as a reference. Weekly PR properties were characterized by histogram and a two-Gaussian mixture model. A coupling use of sample entropy and pulse rate was applied to cluster the stages during recovery period after delivery. Results depicted a profile of individual’s cardiac recovery process in late pregnancy and after delivery. The results reveal that maternal PRs show different patterns in various stages of recovery. Later stages of recovery seemed to require a much longer period. The present study introduced a convenient approach in long-term maternal cardiac condition monitoring.

A Wearable ECG Monitoring System for Resource-Constrained Settings

2020 ◽  
pp. 1-16
Author(s):  
Uma Arun ◽  
Natarajan Sriraam
Keyword(s):  
Monitoring System ◽  
Clinical Diagnosis ◽  
Low Cost ◽  
Healthcare Delivery ◽  
Wearable Technology ◽  
Remote Access ◽  
Ecg Monitoring ◽  
Resource Constrained ◽  
Fidelity Measures

Recent advancement in wearable technology has created a huge impact in healthcare delivery and clinical diagnosis. Remote access of physiological, vital parameters from patients and improvement in their day-to-day quality of life were the significant indicators due to this availability of wearable technology. Though wearable physiological monitoring systems for long-term monitoring of Electro cardiogram (ECG) were developed at high-cost involvement, there is a huge need for such technology for resource-constrained settings, at a low cost. This chapter suggests a wearable ECG monitoring system by making use of single channel textile sensors for screening of cardiac episodes. The proposed Cardiac signal framework (CARDIF) with chest textile-based sensors ensures the required qualitative signal for clinical assessment and the evaluation of fidelity measures confirms its suitability for early screening of cardiac episodes. The proposed CARDIF framework involves low-cost design without sacrificing the required clinical diagnosis requirement and can be extended for long-term, continuous monitoring in resource-constrained settings.

966-P: The Long-Term Impact of a Flash Glucose Monitoring System on Glycemic Control

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 966-P
Author(s):  
ATSUSHI FUJIYA ◽  
TOSHIKI KIYOSE ◽  
TAIGA SHIBATA ◽  
HIROSHI SOBAJIMA
Keyword(s):  
Glycemic Control ◽  
Monitoring System ◽  
Glucose Monitoring ◽  
Flash Glucose Monitoring ◽  
Long Term Impact ◽  
Flash Glucose Monitoring System

scholarly journals Long-term effects of fine particulate matter exposure on the progression of arterial stiffness

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Dianqin Sun ◽  
Yue Liu ◽  
Jie Zhang ◽  
Jia Liu ◽  
Zhiyuan Wu ◽  
...  
Keyword(s):  
Arterial Stiffness ◽  
Health Management ◽  
Ankle Brachial Index ◽  
Population Data ◽  
Average Concentration ◽  
Air Pollutant ◽  
Stiffness Index ◽  
Long Term Effects ◽  
Annual Average

Abstract Background Prior studies have investigated the association of PM2.5 exposure with arterial stiffness measured by ankle-brachial index (ABI) and brachial-ankle pulse wave velocity (baPWV), of which conclusions are inconsistent. Moreover, limited evidence is available on the contributory role of PM2.5 exposure on the arterial stiffness index. Methods We used the population data from the Beijing Health Management Cohort and conducted a longitudinal analysis. The annual average concentration of PM2.5 for 35 air pollutant monitoring sites in Beijing from 2014 to 2018 was used to estimate individual exposure by different interpolation methods. Multivariate logistic regression and linear regression were conducted to assess the association of annual average PM2.5 concentration with the incidence of higher baPWV, the progression of ABI, and baPWV, respectively. Results The association between PM2.5 exposure and incidence of higher baPWV was not significant (OR = 1.11, 95% CI: 0.82–1.50, P = 0.497). There was − 0.16% (95% CI: − 0.43-0.11%) decrease in ABI annually and 1.04% (95% CI: 0.72–1.37%) increase in baPWV annually with each increment of 10 μg/m3 average PM2.5 concentration. Conclusions Long-term exposure to PM2.5 was associated with the progression of arterial stiffness in Beijing. This study suggests that improvement of air quality may help to prevent arterial stiffness.

scholarly journals Assessing the Capacity of Adaptive Policy Pathways to Adapt on Time by Mapping Trigger Values to Their Outcomes

2019 ◽  
Vol 11 (6) ◽  
pp. 1716 ◽  
Author(s):  
Luciano Raso ◽  
Jan Kwakkel ◽  
Jos Timmermans
Keyword(s):  
Monitoring System ◽  
Decision Makers ◽  
Level Of Confidence ◽  
Adaptive Policy ◽  
Misclassification Errors ◽  
The Future ◽  
Adaptive Action ◽  
The Face

Climate change raises serious concerns for policymakers that want to ensure the success of long-term policies. To guarantee satisfactory decisions in the face of deep uncertainties, adaptive policy pathways might be used. Adaptive policy pathways are designed to take actions according to how the future will actually unfold. In adaptive pathways, a monitoring system collects the evidence required for activating the next adaptive action. This monitoring system is made of signposts and triggers. Signposts are indicators that track the performance of the pathway. When signposts reach pre-specified trigger values, the next action on the pathway is implemented. The effectiveness of the monitoring system is pivotal to the success of adaptive policy pathways, therefore the decision-makers would like to have sufficient confidence about the future capacity to adapt on time. “On time” means activating the next action on a pathway neither so early that it incurs unnecessary costs, nor so late that it incurs avoidable damages. In this paper, we show how mapping the relations between triggers and the probability of misclassification errors inform the level of confidence that a monitoring system for adaptive policy pathways can provide. Specifically, we present the “trigger-probability” mapping and the “trigger-consequences” mappings. The former mapping displays the interplay between trigger values for a given signpost and the level of confidence regarding whether change occurs and adaptation is needed. The latter mapping displays the interplay between trigger values for a given signpost and the consequences of misclassification errors for both adapting the policy or not. In a case study, we illustrate how these mappings can be used to test the effectiveness of a monitoring system, and how they can be integrated into the process of designing an adaptive policy.

scholarly journals Direct Long-Term Observation of Kinesin Processivity at Low Load

2002 ◽  
Vol 12 (4) ◽  
pp. 301-306 ◽  
Author(s):  
Junichiro Yajima ◽  
Maria C. Alonso ◽  
Robert A. Cross ◽  
Yoko Y. Toyoshima
Keyword(s):  
Low Load ◽  
Long Term Observation

Editorial

2009 ◽  
Vol 11 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Manasi Kumar ◽  
Erica Burman
Keyword(s):  
Millennium Development Goals ◽  
Health Management ◽  
The Political ◽  
Special Issue ◽  
Wide Range ◽  
Critical Approaches ◽  
Development Goals ◽  
Short And Long Term ◽  
Primary Focus

We welcome readers to the first special issue (11.1) of the Journal of Health Management. We hope the readers find the articles and various reviews enriching and provocative, both in terms of the range of ideas and critical approaches addressed. The key theme of this double issue concerns the political limits of mega-development projects such as the Millennium Development Goals (MDGs). The primary focus of the articles collected here is to provide an insightful, constructive and in-depth critique of the United Nations (UN) MDGs along with critical deliberations on their short- and long-term implications not only for health management but also for a wide range of issues around development and social change.

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