scholarly journals A Resilient and Hierarchical IoT-based Solution for Stress Monitoring in Everyday Settings

2021 ◽  
Author(s):  
Shiyi Jiang ◽  
Farshad Firouzi ◽  
Krishnendu Chakrabarty ◽  
Eric Elbogen
Keyword(s):  
Network Model ◽  
Wearable Sensors ◽  
Cost Effective ◽  
Health Concern ◽  
Stress Monitoring ◽  
Physical And Mental Health ◽  
Matching Network ◽  
Fisher Score ◽  
Edge Layer ◽  
Electrocardiogram Ecg

<div><div><div><p>Long-term stress is a global health concern because it impacts our physical and mental health. The emergence of Internet of Things (IoT) and Artificial Intelligence (AI) makes stress monitoring and treatment more accessible compared to today’s physician-centered healthcare system. However, existing solutions either fail to incorporate IoT technology or are not cost-effective. We propose a resilient, hierarchical IoT-based solution for stress monitoring to tackle the above problems. Multimodal data was collected from wearable sensors and underwent preprocessing, feature extraction, and multiple imputation. We applied three feature-selection methods prior to lightweight SVM classification at the edge layer, and utilized a CNN and a matching network model in the cloud layer. We obtained an accuracy of 86.7347% and an F1 score of 0.8725 at the edge using only 10 features selected based on the Fisher score. An accuracy of 98.9247% and an F1 score of 0.9876 was achieved by a matching network model based on electrocardiogram (ECG) data. The trade-off between the communication cost from the edge to the cloud and the overall accuracy was evaluated. Our hierarchical-IoT solution for stress-level evaluation provides insights into the potentiality of IoT and AI technology-based eHealth solutions.</p></div></div></div>

scholarly journals A Resilient and Hierarchical IoT-based Solution for Stress Monitoring in Everyday Settings

2021 ◽  
Author(s):  
Shiyi Jiang ◽  
Farshad Firouzi ◽  
Krishnendu Chakrabarty ◽  
Eric Elbogen
Keyword(s):  
Network Model ◽  
Wearable Sensors ◽  
Cost Effective ◽  
Health Concern ◽  
Stress Monitoring ◽  
Physical And Mental Health ◽  
Matching Network ◽  
Fisher Score ◽  
Edge Layer ◽  
Electrocardiogram Ecg

<div><div><div><p>Long-term stress is a global health concern because it impacts our physical and mental health. The emergence of Internet of Things (IoT) and Artificial Intelligence (AI) makes stress monitoring and treatment more accessible compared to today’s physician-centered healthcare system. However, existing solutions either fail to incorporate IoT technology or are not cost-effective. We propose a resilient, hierarchical IoT-based solution for stress monitoring to tackle the above problems. Multimodal data was collected from wearable sensors and underwent preprocessing, feature extraction, and multiple imputation. We applied three feature-selection methods prior to lightweight SVM classification at the edge layer, and utilized a CNN and a matching network model in the cloud layer. We obtained an accuracy of 86.7347% and an F1 score of 0.8725 at the edge using only 10 features selected based on the Fisher score. An accuracy of 98.9247% and an F1 score of 0.9876 was achieved by a matching network model based on electrocardiogram (ECG) data. The trade-off between the communication cost from the edge to the cloud and the overall accuracy was evaluated. Our hierarchical-IoT solution for stress-level evaluation provides insights into the potentiality of IoT and AI technology-based eHealth solutions.</p></div></div></div>

scholarly journals The Impact of SARS-CoV-2 (COVID-19) and its Lockdown Measures on the Mental and Functional Health of Older Individuals

2021 ◽  
Author(s):  
Maria Chiara Fastame ◽  
Ilaria Mulas ◽  
Valeria Putzu ◽  
Gesuina Asoni ◽  
Daniela Viale ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Wearable Sensors ◽  
Well Being ◽  
Functional Health ◽  
Cognitive Deterioration ◽  
Older Individuals ◽  
Physical And Mental Health ◽  
Psychological Well Being ◽  
The Impact ◽  
Healthy Participants

AbstractThe effect of the COVID-19 on the physical and mental health of Italian older individuals displaying signs of cognitive deterioration has not been deeply investigated. This longitudinal study examined the impact of COVID-19 lockdown measures on the psychological well-being and motor efficiency of a sample of Italian community-dwellers with and without cognitive decline. Forty-seven participants underwent instrumental gait analysis performed in ecological setting using wearable sensors, and completed a battery of tasks assessing cognitive functioning and psychological well-being, before and after the full lockdown due to the COVID-19 spreading. A series of Multivariate Analyses of Variance (MANOVAs) documented that the superior gait performance of the cognitively healthy participants exhibited before the COVID-19 spread, vanished when they were tested at the end of the lockdown period. Moreover, before the outbreak of the COVID-19, cognitively healthy participants and those with signs of cognitive decline reported similar levels of psychological well-being, whereas, after the lockdown, the former group reported better coping, emotional competencies, and general well-being than the participants displaying signs of cognitive decline. In conclusion, the full COVID-19 outbreak had a significant impact on the mental and motor functioning of older individuals with and without signs of cognitive deterioration living in Italy.

scholarly journals Combating pertussis resurgence: One booster vaccination schedule does not fit all

2015 ◽  
Vol 112 (5) ◽  
pp. E472-E477 ◽  
Author(s):  
Maria A. Riolo ◽  
Pejman Rohani
Keyword(s):  
Booster Vaccination ◽  
Cost Effective ◽  
Vaccination Schedule ◽  
Health Concern ◽  
Transmission Model ◽  
Public Health Concern ◽  
Vaccine Failure ◽  
Vaccination Strategies ◽  
Vaccine Booster ◽  
Pertussis Epidemiology

Pertussis has reemerged as a major public health concern in many countries where it was once considered well controlled. Although the mechanisms responsible for continued pertussis circulation and resurgence remain elusive and contentious, many countries have nevertheless recommended booster vaccinations, the timing and number of which vary widely. Here, using a stochastic, age-stratified transmission model, we searched for cost-effective booster vaccination strategies using a genetic algorithm. We did so assuming four hypothesized mechanisms underpinning contemporary pertussis epidemiology: (I) insufficient coverage, (II) frequent primary vaccine failure, (III) waning of vaccine-derived protection, and (IV) vaccine “leakiness.” For scenarios I–IV, successful booster strategies were identified and varied considerably by mechanism. Especially notable is the inability of booster schedules to alleviate resurgence when vaccines are leaky. Critically, our findings argue that the ultimate effectiveness of vaccine booster schedules will likely depend on correctly pinpointing the causes of resurgence, with misdiagnosis of the problem epidemiologically ineffective and economically costly.

Cultivating Resilience During the COVID-19 Pandemic: A Socioecological Perspective

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Ning Zhang ◽  
Shujuan Yang ◽  
Peng Jia
Keyword(s):  
Cost Effective ◽  
Future Research ◽  
Annual Review ◽  
Publication Date ◽  
Physical And Mental Health ◽  
Pandemic Preparedness ◽  
Predicting Factors ◽  
Effective Interventions ◽  
Interdisciplinary Framework ◽  
The Individual

The coronavirus disease 2019 (COVID-19) pandemic poses wide-ranging impacts on the physical and mental health of people around the world, increasing attention from both researchers and practitioners on the topic of resilience. In this article, we review previous research on resilience from the past several decades, focusing on how to cultivate resilience during emerging situations such as the COVID-19 pandemic at the individual, organizational, community, and national levels from a socioecological perspective. Although previous research has greatly enriched our understanding of the conceptualization, predicting factors, processes, and consequences of resilience from a variety of disciplines and levels, future research is needed to gain a deeper and comprehensive understanding of resilience, including developing an integrative and interdisciplinary framework for cultivating resilience, developing an understanding of resilience from a life span perspective, and developing scalable and cost-effective interventions for enhancing resilience and improving pandemic preparedness. Expected final online publication date for the Annual Review of Psychology, Volume 73 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

scholarly journals Experimental Characterization of Inkjet-Printed Stretchable Circuits for Wearable Sensor Applications

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3476 ◽  
Author(s):  
Jumana Abu-Khalaf ◽  
Razan Saraireh ◽  
Saleh Eisa ◽  
Ala’aldeen Al-Halhouli
Keyword(s):  
Wearable Sensors ◽  
Cost Effective ◽  
Experimental Characterization ◽  
Wearable Sensor ◽  
Successful Development ◽  
Sensor Applications ◽  
Cost Effective Method ◽  
Stretchable Circuits ◽  
Nanoparticle Ink

This paper introduces a cost-effective method for the fabrication of stretchable circuits on polydimethylsiloxane (PDMS) using inkjet printing of silver nanoparticle ink. The fabrication method, presented here, allows for the development of fully stretchable and wearable sensors. Inkjet-printed sinusoidal and horseshoe patterns are experimentally characterized in terms of the effect of their geometry on stretchability, while maintaining adequate electrical conductivity. The optimal fabricated circuit, with a horseshoe pattern at an angle of 45°, is capable of undergoing an axial stretch up to a strain of 25% with a resistance under 800 Ω. The conductivity of the circuit is fully reversible once it is returned to its pre-stretching state. The circuit could also undergo up to 3000 stretching cycles without exhibiting a significant change in its conductivity. In addition, the successful development of a novel inkjet-printed fully stretchable and wearable version of the conventional pulse oximeter is demonstrated. Finally, the resulting sensor is evaluated in comparison to its commercially available counterpart.

scholarly journals Unsupervised Hierarchical Clustering Approach for Tourism Market Segmentation Based on Crowdsourced Mobile Phone Data

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2972 ◽  
Author(s):  
Jorge Rodríguez ◽  
Ivana Semanjski ◽  
Sidharta Gautama ◽  
Nico Van de Weghe ◽  
Daniel Ochoa
Keyword(s):  
Hierarchical Clustering ◽  
Market Segmentation ◽  
Wearable Sensors ◽  
Essential Element ◽  
Cost Effective ◽  
Mobile Phone Data ◽  
Mobility Data ◽  
Tourism Management ◽  
Clustering Approach ◽  
Spatio Temporal

Understanding tourism related behavior and traveling patterns is an essential element of transportation system planning and tourism management at tourism destinations. Traditionally, tourism market segmentation is conducted to recognize tourist’s profiles for which personalized services can be provided. Today, the availability of wearable sensors, such as smartphones, holds the potential to tackle data collection problems of paper-based surveys and deliver relevant mobility data in a timely and cost-effective way. In this paper, we develop and implement a hierarchical clustering approach for smartphone geo-localized data to detect meaningful tourism related market segments. For these segments, we provide detailed insights into their characteristics and related mobility behavior. The applicability of the proposed approach is demonstrated on a use case in the Province of Zeeland in the Netherlands. We collected data from 1505 users during five months using the Zeeland app. The proposed approach resulted in two major clusters and four sub-clusters which we were able to interpret based on their spatio-temporal patterns and the recurrence of their visiting patterns to the region.

A Multi-User Multi-Task Model For Stress Monitoring From Wearable Sensors

2018 ◽  
Author(s):  
Oumayma Sakri ◽  
Christelle Godin ◽  
Gael Vila ◽  
Etienne Labyt ◽  
Sylvie Charbonnier ◽  
...  
Keyword(s):  
Wearable Sensors ◽  
Stress Monitoring ◽  
Task Model

scholarly journals Two Electrode ECG And EOG System For Monitoring Applications

2019 ◽  
Vol 8 (11) ◽  
pp. 262-265
Keyword(s):  
Reference Electrode ◽  
Cost Effective ◽  
Electrode System ◽  
Ecg Signal ◽  
Biomedical Signal ◽  
Ecg Signals ◽  
Arm Position ◽  
The Stability ◽  
Electrocardiogram Ecg ◽  
Total Gain

Heart and Eye are two vital organs in the human system. By knowing the Electrocardiogram (ECG) and Electro-oculogram (EOG), one will be able to tell the stability of the heart and eye respectively. In this project, we have developed a circuit to pick the ECG and EOG signal using two wet electrodes. Here no reference electrode is used. EOG and ECG signals have been acquired from ten healthy subjects. The ECG signal is obtained from two positions, namely wrist and arm position respectively. The picked-up biomedical signal is recorded and heart rate information is extracted from ECG signal using the biomedical workbench. The result found to be promising and acquired stable EOG and ECG signal from the subjects. The total gain required for the arm position is higher than the wrist position for the ECG signal. The total gain necessary for the EOG signal is higher than the ECG signal since the ECG signal is in the range of millivolts whereas EOG signal in the range of microvolts. This two-electrode system is stable, cost-effective and portable while still maintaining high common-mode rejection ratio (CMRR).

scholarly journals Telework during the COVID-19 epidemic in Portugal and determinants of job satisfaction: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mafalda Sousa-Uva ◽  
António Sousa-Uva ◽  
Marta Mello e Sampayo ◽  
Florentino Serranheira
Keyword(s):  
Work Environment ◽  
Health And Safety ◽  
Cross Sectional Study ◽  
Work Life ◽  
Health Concern ◽  
Sectional Study ◽  
Physical And Mental Health ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Health Organization

Abstract Background Telework satisfaction is a Public Health concern, intensified by the COVID-19 pandemic, and its determinant factors may be related with the negative health effects of teleworking. However, there is still little research exploring this issue. This study aimed to characterize telework during the first wave of the COVID-19 epidemic in Portugal and to identify the major predictors of telework satisfaction. Methods This is a cross-sectional study aimed at all teleworkers working in Portugal, during the first wave of the COVID-19 epidemic. Data were collected through a Google Forms platform online questionnaire distributed by a snowball method on social networks. Descriptive statistics included crude and relative frequency data. The associations between sociodemographic characteristics, self-perceived health, organization of working time, concentration at work, work-life balance, work disconnection, working conditions, and organizational demands (flexibility and organizational trust based on E-work Life Scale) with telework satisfaction were estimated through logistic regression. Results This study included 1004 participants. Teleworkers satisfaction levels were high (69%). Better concentration at work (OR = 1.54; 95%CI 1.01–2.34); the satisfaction with the balance between work life and extra work when teleworking (OR = 1.79; 95%CI 1.17–2.74); and higher work flexibility (OR = 2.26; 95%CI 1.46–3.49) were good predictors of greater levels of satisfaction with telework. However, its major predictors were the company’s trust in teleworkers (OR = 4.50; 95%CI 2.89–7.02) and feeling good in the workspace at home (OR = 3.72; 95%CI 1.46–9.49). Conclusions Our findings point that work environment and organizational culture play a crucial role in affecting telework satisfaction. More studies are needed to monitor telework satisfaction and its effects on physical and mental health, so that Public and Occupational Health (and Safety) can be able to identify and implement the best interventions that allow promoting individual health and foster a healthy work environment for teleworkers.

scholarly journals Obesity and Surgical Treatment – A Cost-Effectiveness Assessment for Sweden

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Sixten Borg ◽  
Ingmar Näslund ◽  
Ulf Persson ◽  
Knut Ödegaard
Keyword(s):  
Gastric Bypass ◽  
Cost Effectiveness ◽  
Conventional Treatment ◽  
Bypass Surgery ◽  
Gastric Bypass Surgery ◽  
Cost Effective ◽  
Health Concern ◽  
Life Years ◽  
Diet And Exercise ◽  
The Cost

Background:The rising trend in the prevalence of obesity has during the past decades become a major public health concern in many countries, as obesity may lead to comorbidities and death. A frequent used marker for obesity is the Body Mass Index (BMI). The cost of treatment for obesity related diseases has become a heavy burden on national health care budget in many countries. While diet and exercise are the cornerstones of weight management, pharmaco­therapy is often needed to achieve and maintain desired weight loss.  In some cases of extreme obesity, bariatric surgery may be recommended. It is expected to increase by 50% in Sweden.Objective: The overall objective was to develop a cost-effectiveness model using the best available evidence to assess the cost-effectiveness of gastric bypass (GBP) surgical treatments for obesity in adult patients, in comparison with conventional treatment (CT), in Sweden from a healthcare perspective. With the model we also seeked to identify the lower cut-off point using BMI criteria, for the surgical intervention to be cost-effective. Methods:A micro-simulation model with an underlying Markov methodology was developed, that simulates individual patients. It simulates the outcomes of the patients in terms of treatment costs, life years, and quality adjusted life years (QALY) over his/her remaining lifetime. The costs are presented in SEK in the year 2006 price level (1 SEK ≈ 0.11 EUR ≈ 0.14 USD).Results: We estimated that the incremental cost per QALY gained will not exceed SEK 33,000 per QALY in patients with BMI < 35. In patients with BMI > 35 kg/m2, gastric bypass surgery has lower costs compared to conventional treatment. Conclusion: Gastric bypass surgery is a cost-effective intervention compared to conventional treatment consisting of watchful waiting, diet and exercise.

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