iCare: Applying IoT Technology for Monitoring Alzheimer's Patients

Aljehani, Shahad Saud; Alhazmi, Rahaf Abdulaziz; Aloufi, Sara Saleh; Aljehani, Bushra Difalla; Abdulrahman, Ruqayya

doi:10.1109/cais.2018.8442010

Cited by 40 publications

(35 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wearables can be powered by microprocessors to send and receive data via cellular networks and the internet [5][6][7]. Our review of recent literature on technology and caregiving offered multiple examples of digital technology adoption by caregivers and care recipients in the realms of education, care recipient data collection, sensors and monitoring, clinical care delivery, and social support [4,6,[8][9][10][11][12]. While these studies [4,6,[8][9][10][11][12] document the broad array of categories of digital and technology development, limited information is available about factors influencing care recipients' technology adoption.…”

Section: Introductionmentioning

confidence: 99%

“…Research suggests that caregivers are increasingly interested in purchasing and using wearable and other monitoring technology to help reduce caregiver burdens and allow older adults to remain independent in their own homes [9]. A recent literature review by Stavropoulos et al [10] included reviews of systematic reviews and case studies, including studies in which the aims were to assess if the caregiver was more comfortable due to the care recipient use of the wearable and if the care recipient felt more independent [10][11][12]16,17].…”

Section: Introductionmentioning

confidence: 99%

“…Of particular interest is the growing market for fall alert systems, which are intended to help older adults reduce fear of falling and stay independent by ensuring that help will be available in the event of a fall. There is now a plethora of medical alert systems with fall detection, and while there are market comparisons and a growing amount of literature on older adults' acceptance of technology, less is known about how caregivers' attitudes toward technology can impact care recipients' use of such technology [6,[8][9][10][11][12]16,17,19,20].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Attitudes Toward Technology and Use of Fall Alert Wearables in Caregiving: Survey Study

Dahlke¹,

Lee²,

Smith³

et al. 2021

JMIR Aging

View full text Add to dashboard Cite

Background Wearable technology for fall alerts among older adult care recipients is one of the more frequently studied areas of technology, given the concerning consequences of falls among this population. Falls are quite prevalent in later life. While there is a growing amount of literature on older adults’ acceptance of technology, less is known about how caregivers’ attitudes toward technology can impact care recipients’ use of such technology. Objective The objective of our study was to examine associations between caregivers’ attitudes toward technology for caregiving and care recipients’ use of fall alert wearables. Methods This study examined data collected with an online survey from 626 caregivers for adults 50 years and older. Adapted from the technology acceptance model, a structural equation model tested the following prespecified hypotheses: (1) higher perceived usefulness of technologies for caregiving would predict higher perceived value of and greater interest in technologies for caregiving; (2) higher perceived value of technologies for caregiving would predict greater interest in technologies for caregiving; and (3) greater interest in technologies for caregiving would predict greater use of fall alert wearables among care recipients. Additionally, we included demographic factors (eg, caregivers’ and care recipients’ ages) and caregiving context (eg, caregiver type and caregiving situation) as important predictors of care recipients’ use of fall alert wearables. Results Of 626 total respondents, 548 (87.5%) with all valid responses were included in this study. Among care recipients, 28% used fall alert wearables. The final model had a good to fair model fit: a confirmatory factor index of 0.93, a standardized root mean square residual of 0.049, and root mean square error of approximation of 0.066. Caregivers’ perceived usefulness of technology was positively associated with their attitudes toward using technology in caregiving (b=.70, P<.001) and interest in using technology for caregiving (b=.22, P=.003). Greater perceived value of using technology in caregiving predicted greater interest in using technology for caregiving (b=.65, P<.001). Greater interest in using technology for caregiving was associated with greater likelihood of care recipients using fall alert wearables (b=.27, P<.001). The caregiver type had the strongest inverse relationship with care recipients’ use of fall alert wearables (unpaid vs paid caregiver) (b=–.33, P<.001). Conclusions This study underscores the importance of caregivers’ attitudes in care recipients’ technology use for falls management. Raising awareness and improving perception about technologies for caregiving may help caregivers and care recipients adopt and better utilize technologies that can promote independence and enhance safety.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Attitudes Toward Technology and Use of Fall Alert Wearables in Caregiving: Survey Study

Dahlke¹,

Lee²,

Smith³

et al. 2021

JMIR Aging

View full text Add to dashboard Cite

show abstract

“…Aljehani et al [ 16 ] developed an application for Apple smartwatch that measures heart rate and locates the patient based on the Internet of Things (IoT) concept. The solution has two parts: (i) The Alzheimer’s patient wears an IoT device, which is the Apple Smartwatch, and (ii) an iOS application on the caregiver’s iPhone connected to the patient’s watch in order to access and store the patient’s heart rate and location data.…”

Section: Related Workmentioning

confidence: 99%

Exhaustive Description of the System Architecture and Prototype Implementation of an IoT-Based eHealth Biometric Monitoring System for Elders in Independent Living

Vizitiu

Bîră

Dinculescu

et al. 2021

Sensors

View full text Add to dashboard Cite

In this paper, we present an exhaustive description of an extensible e-Health Internet-connected embedded system, which allows the measurement of three biometric parameters: pulse rate, oxygen saturation and temperature, via several wired and wireless sensors residing to the realm of Noncommunicable Diseases (NCDs) and cognitive assessment through Choice Reaction Time (CRT) analysis. The hardware used is based on ATMEGA AVR + MySignals Hardware printed circuit board (Hardware PCB), but with multiple upgrades (including porting from ATMEGA328P to ATMEGA2560). Multiple software improvements were made (by writing high-level device drivers, text-mode and graphic-mode display driver) for increasing functionality, portability, speed, and latency. A top-level embedded application was developed and benchmarked. A custom wireless AT command firmware was developed, based on ESP8266 firmware to allow AP-mode configuration and single-command JavaScript Object Notation (JSON) data-packet pushing towards the cloud platform. All software is available in a git repository, including the measurement results. The proposed eHealth system provides with specific NCDs and cognitive views fostering the potential to exploit correlations between physiological and cognitive data and to generate predictive analysis in the field of eldercare.

show abstract

“…It has another feature that is the list of reminders to schedule tasks, such as bathing, exercises, a patient's medications and medical appointments. In addition, the application has a section where caregivers can get information about Alzheimer's disease (Aljehani, 2018) City4Age Project…”

Section: Projectmentioning

confidence: 99%

A Comprehensive Study of Iot for Alzheimer's Disease

Andrade

Yoo

Cazares³

2019

Proceedings of the 11th International Conference on E-Health 2019

View full text Add to dashboard Cite

The aging process includes the degradation of physical and neurological functions in the people. Although the process of degradation of functions is normal, in some people due to certain risk factors the impact can be high. The appearance of chronic diseases in older adults, one of which is Alzheimer's with about 46.8 million affected worldwide, can affect the quality of life of the person. Alzheimer's at the moment is considered a disease without a cure, an early detection together with an adequate cognitive stimulation can help to reduce the impact for the older adults and their relatives. Ambient Assisted Living -AAL solutions can help the person maintain a quality life, independent and socially active. The inclusion of ICT (Information Communication and Technology) in AAL solutions increase their functionalities and the higher number of deployments of IoT in recent years and its future projection has generated the interest of its application in different domains of society such as: transport, agriculture and health; however, IoT is a relatively new technology and its development is still in progress. The contribution of this work is present an overview about the use of IoT in patients with Alzheimer's, and make an analyze the use of IoT in the processes of cognitive stimulation considering the possible technical limitations of IoT.

show abstract

iCare: Applying IoT Technology for Monitoring Alzheimer's Patients

Cited by 40 publications

References 6 publications

Attitudes Toward Technology and Use of Fall Alert Wearables in Caregiving: Survey Study

Attitudes Toward Technology and Use of Fall Alert Wearables in Caregiving: Survey Study

Exhaustive Description of the System Architecture and Prototype Implementation of an IoT-Based eHealth Biometric Monitoring System for Elders in Independent Living

A Comprehensive Study of Iot for Alzheimer's Disease

Contact Info

Product

Resources

About