Health and Wellness Monitoring of Elderly People Using Intelligent Sensing Technique

Arshad, Atika; Khan, Sheroz; Alam, Ahm Zahirul; Tasnim, Rumana; Boby, Rounakul Islam

doi:10.1109/iccce.2016.58

Cited by 15 publications

(7 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The device sends the acquired patient information to a server and also to a caregiver through a mobile application. The focus of Arshad et al (2016) and Hu et al (2018) was on elderly people. Their system monitors sleep pattern, humidity and ambient temperature of the elderly at home.…”

Section: Health Monitoringmentioning

confidence: 99%

Context-aware system for cardiac condition monitoring and management: a survey

Ogbuabor

Augusto

Moseley

et al. 2020

Behaviour & Information Technology

View full text Add to dashboard Cite

show abstract

Section: Health Monitoringmentioning

confidence: 99%

Context-aware system for cardiac condition monitoring and management: a survey

Ogbuabor

Augusto

Moseley

et al. 2020

Behaviour & Information Technology

View full text Add to dashboard Cite

show abstract

“…Health Monitoring Service (HMS) [11,13] or telemedicine [9,[36][37][38] ), automated remote health monitoring and diagnosis, and emergency alert have benefited the elderly and any disabilities against inconvenience. By using intelligent sensing techniques, telemedicine could retrieve health data as medical references for accurately systematic analysis of older adults' constant wellbeing [39]. Hence, technologies contribute to the elderly's QoL improvement by reducing the cost while increasing the operational efficiency of traditional healthcare services [35].…”

Section: Insufficient Healthcare Supportsmentioning

confidence: 99%

An Empirical Study on Challenges Faced by the Elderly in Care Centres

Li¹,

Goh²,

Jhanjhi³

et al. 2018

EAI Endorsed Transactions on Pervasive Health and Technology

View full text Add to dashboard Cite

INTRODUCTION:The fact of our lives is that we will be reaching to elderly life stage sooner or later. Our elderly community has been left far behind of new technology updates. Technology advances just as age is catching up on us. To many who are in their twilight years, using cutting edge technologies may be a hurdle in their activities of daily living (ADLs).OBJECTIVES: Therefore, this study aims to identify and measure the ADL challenges that the elderly encounter and improve their quality of life (QoL). METHODS:This research embarked on semi-structured interviews at 9 geriatric care centres in Malaysia to investigate the ADL challenges by the elderly residents. The thematic analysis approach was employed for data analysis and further discussion. RESULTS:The research findings suggested that the QoL of the elderly is limited by the challenges of geriatric issues, poor living conditions, and technology acceptance barriers. CONCLUSION:In conclusion, the current research provides an overview of the ADL challenges faced by the elderly with recommendations of user-centred Internet of Things (IoT) devices for elderly to use in an ambient assisted living (AAL) environment in Society 5.0.

show abstract

“…For that purpose, the recommendation provides advice in diet and physical activity. Atika Arshad et al propose in [20] a monitoring system to measure vital signals and sleep patterns of elderly people. It is intended to be deployed inside the bedroom of the patient by placing movement sensors on the bed and temperature and humidity sensors by the door of the bedroom.…”

Section: Related Workmentioning

confidence: 99%

System for monitoring the wellness state of people in domestic environments employing emoticon-based HCI

et al. 2017

View full text Add to dashboard Cite

Wellness state is affected by the habitability state of the domestic environment. Monitoring it can help to discover the causes of a low wellness levels aiding people in the improvement of their quality of life. In this paper, we propose a system to monitor the wellness state of people utilizing Liketrt's scale to determine the state of the user through an emoticon-based Human-Computer Interaction (HCI). The system is intended for domestic environments and measures the habitability conditions of the dwelling (such as temperature, humidity, luminosity and noise) employing sensors. An algorithm is designed in order to establish how to measure those conditions and to calculate the statistics that allows tracking their progress. The obtained information is presented to the user to compare his/her wellness state with the habitability conditions. Measures in a real domestic environment were performed in order to determine the configuration of our system. The energy-efficiency of the algorithm provides an improvement between 99.36% and 99.62% in the energy consumption depending on the selected parameters.

show abstract

Health and Wellness Monitoring of Elderly People Using Intelligent Sensing Technique

Cited by 15 publications

References 6 publications

Context-aware system for cardiac condition monitoring and management: a survey

Context-aware system for cardiac condition monitoring and management: a survey

An Empirical Study on Challenges Faced by the Elderly in Care Centres

System for monitoring the wellness state of people in domestic environments employing emoticon-based HCI

Contact Info

Product

Resources

About