Structuring reasoning for interpretation of sensor data in home-based health and well-being monitoring applications

2012 ◽  
Vol 4 (5) ◽  
pp. 461-476 ◽  
Author(s):  
Herman J. ter Horst ◽  
Alexander Sinitsyn
Keyword(s):  
Well Being ◽  
Sensor Data ◽  
Home Based ◽  
Monitoring Applications ◽  
Health And Well Being

Internet of Things in E-Health

2017 ◽  
pp. 191-197 ◽  
Author(s):  
Branka Rodić Trmčić ◽  
Aleksandra Labus ◽  
Svetlana Mitrović ◽  
Vesna Buha ◽  
Gordana Stanojević
Keyword(s):  
Internet Of Things ◽  
Health Behavior ◽  
Well Being ◽  
Sensor Data ◽  
Main Task ◽  
Preventive Actions ◽  
Framework Model ◽  
The Impact ◽  
Health And Well Being ◽  
Improve Health

The main task of Internet of Things in eHealth solutions is to collect data, connect people, things and processes. This provides a wealth of information that can be useful in decision-making, improving health and well-being. The aim of this study is to identify framework of sensors and application health services to detect sources of stress and stressors and make them visible to users. Also, we aim at extracting relationship between event and sensor data in order to improve health behavior. Evaluation of the proposed framework model will be performed. Model is based on Internet of Things in eHealth and is going to aim to improve health behavior. Following the established pattern of behavior realized through wearable system users will be proposed a preventive actions model. Further, it will examine the impact of changing health behavior on habits, condition and attitudes in relation to well-being and prevention.

Internet of Things in E-Health

2018 ◽  
pp. 880-885
Author(s):  
Branka Rodić Trmčić ◽  
Aleksandra Labus ◽  
Svetlana Mitrović ◽  
Vesna Buha ◽  
Gordana Stanojević
Keyword(s):  
Internet Of Things ◽  
Health Behavior ◽  
Well Being ◽  
Sensor Data ◽  
Main Task ◽  
Preventive Actions ◽  
Framework Model ◽  
The Impact ◽  
Health And Well Being ◽  
Improve Health

The main task of Internet of Things in eHealth solutions is to collect data, connect people, things and processes. This provides a wealth of information that can be useful in decision-making, improving health and well-being. The aim of this study is to identify framework of sensors and application health services to detect sources of stress and stressors and make them visible to users. Also, we aim at extracting relationship between event and sensor data in order to improve health behavior. Evaluation of the proposed framework model will be performed. Model is based on Internet of Things in eHealth and is going to aim to improve health behavior. Following the established pattern of behavior realized through wearable system users will be proposed a preventive actions model. Further, it will examine the impact of changing health behavior on habits, condition and attitudes in relation to well-being and prevention.

scholarly journals Occupational Safety, Health, and Well-being Among Home-based Workers in the Informal Economy of Thailand

2015 ◽  
Vol 25 (2) ◽  
pp. 212-231 ◽  
Author(s):  
Noppanun Nankongnab ◽  
Pimpan Silpasuwan ◽  
Pia Markkanen ◽  
Pornpimol Kongtip ◽  
Susan Woskie
Keyword(s):  
Informal Economy ◽  
Occupational Safety ◽  
Well Being ◽  
Home Based ◽  
Health And Well Being

Improving the social health of community-dwelling older people living with dementia through a reablement program

2017 ◽  
Vol 30 (6) ◽  
pp. 915-920 ◽  
Author(s):  
Yun-Hee Jeon ◽  
Lindy Clemson ◽  
Sharon L. Naismith ◽  
Loren Mowszowski ◽  
Niki McDonagh ◽  
...  
Keyword(s):  
Older People ◽  
Well Being ◽  
Community Dwelling ◽  
Social Health ◽  
Community Activities ◽  
Home Based ◽  
Moderate Dementia ◽  
The Social ◽  
Community Dwelling Older People ◽  
Health And Well Being

ABSTRACTPsychological, neurological, and social impairments caused by dementia may limit the person's everyday living and experiences, but their capacity to enjoy a meaningful life is still retained. Increasingly, evidence has been shown the importance of reablement approaches to care in maximizing the older person's independence, health, and well-being through increased engagement in their daily, physical, social, and community activities. However, there is a major knowledge gap in providing reablement for people living with dementia. We describe one case of a client with moderate dementia and her daughter carer who participated as a dyad in a person centered, interdisciplinary, and reablement program called I-HARP (Interdisciplinary home-based reablement program). I-HARP is designed to improve functional capacity of those community dwelling, older people living with dementia, and other health conditions. In this paper, we discussed key contributions that such a reablement approach to care can make to optimizing the social health of people living with dementia.

scholarly journals A Smart System for Sitting Posture Detection Based on Force Sensors and Mobile Application

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Slavomir Matuska ◽  
Martin Paralic ◽  
Robert Hudec
Keyword(s):  
Mobile Application ◽  
Well Being ◽  
Spinal Pain ◽  
Sensor Data ◽  
Force Sensors ◽  
Smart System ◽  
Sitting Posture ◽  
To Receive ◽  
The Internet Of Things ◽  
Health And Well Being

The employees’ health and well-being are an actual topic in our fast-moving world. Employers lose money when their employees suffer from different health problems and cannot work. The major problem is the spinal pain caused by the poor sitting posture on the office chair. This paper deals with the proposal and realization of the system for the detection of incorrect sitting positions. The smart chair has six flexible force sensors. The Internet of Things (IoT) node based on Arduino connects these sensors into the system. The system detects wrong seating positions and notifies the users. In advance, we develop a mobile application to receive those notifications. The user gets feedback about sitting posture and additional statistical data. We defined simple rules for processing the sensor data for recognizing wrong sitting postures. The data from smart chairs are collected by a private cloud solution from QNAP and are stored in the MongoDB database. We used the Node-RED application for the whole logic implementation.

scholarly journals P122 Comparison of sleep estimation using Apple Watch accelerometry against polysomnography

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A61-A61
Author(s):  
S Roomkham ◽  
D Lovell ◽  
I Szollosi ◽  
D Perrin
Keyword(s):  
Lower Cost ◽  
Total Sleep Time ◽  
Ground Truth ◽  
Well Being ◽  
Sleep Time ◽  
Sensor Data ◽  
Accelerometer Data ◽  
Respiratory Events ◽  
Sleep Parameters ◽  
Health And Well Being

Abstract Introduction Consumer wearables offer new ways to improve our health and well-being, including sleep. Researchers are interested in consumer wearables because their widespread adoption creates the potential for larger studies than could be run with clinically validated measurement methods, as those are more expensive or less convenient. This study investigates sleep tracking using sensor data from Apple Watch in comparison to the gold standard polysomnography (PSG). Method We used Apple Watch accelerometer data to establish both activity and heart rate (using ballistocardiography). Thirty participants (13 female, 17 male) wore the Apple Watch on their non-dominant wrist during clinical PSG. We compared predicted sleep status at the epoch level and overall sleep parameters, taking PSG as the ground truth. Results Our method achieved sleep-wake classification accuracy of 84%, sensitivity of 95%, and specificity of 47%. Apple Watch overestimated total sleep time (mean+SD) by 39.4 + 57.7 mins, underestimated WASO by 45.5 + 54.6 mins and the number of awakenings by 5.0 + 6.9. We observed worse performance for participants who had PSGs exhibiting frequent respiratory events. Discussion Accelerometry cannot replace PSG for diagnostic purposes. However, the Apple Watch results compare favourably to previously published Actiwatch-PSG comparisons. The performance we measured suggests that Apple Watch based accelerometry could be used in longitudinal studies to gather information similar to clinically validated accelerometers, potentially on a larger scale for lower cost. Further study is needed to understand how sleep disorders affect this kind of measurement.

The Job Content, Context, and Requirements of Regulated Home-Based Childcare Workers

2017 ◽  
Vol 27 (4) ◽  
pp. 607-628 ◽  
Author(s):  
Mariam Stitou ◽  
Ivy-Lynn Bourgeault ◽  
Dafna Kohen
Keyword(s):  
Working Hours ◽  
Well Being ◽  
Home Based ◽  
Semistructured Interviews ◽  
Health Experiences ◽  
Childcare Workers ◽  
Potential Factors ◽  
Job Content ◽  
Health And Well Being ◽  
Work And Health

Contrary to a large and growing literature on center-based childcare workers, we know little about the work and health experiences of those providing childcare services in their homes. This study examines the job content, context, and requirements of regulated Home-Based Childcare workers in Canada. It is based on the qualitative analysis of eleven individual semistructured interviews. These workers perform business administration tasks and more housekeeping and domestic work than those in the center-based childcare, which affect their health and well-being. In addition, they reported factors related to the context and the content of their job such as the high physical and mental efforts, the absence of contact with other adults during working hours, the lack of external help, the exposure to noise and bad odors, the interference of work with personal and family life, the precarious remuneration, and the lack of benefits as potential factors that may affect their health.

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