A Low-cost Adaptable and Personalized Remote Patient Monitoring System

Lee, Eva; Yu, Yuanbo; Davis, Robert A.; Egan, Brent M.

doi:10.1145/3079452.3079458

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…In recent years, the topic of personalized design supporting medical care has been discussed in the field of HCI [6,20,21,35,36,53,63]. Research in leisure psychology shows that people with different personalities seek or avoid different activities [29,44], and there are individual differences in emotional experience among different people [60].…”

Section: Personalized Design For Long-term Follow-up Treatment Throug...mentioning

confidence: 99%

“…In HCI the topic related to technology use in medical treatment has been widely discussed [20,21,35,36]. However, the research and development of long-term treatment solutions tend to have a technology-centric approach, such as the use of virtual reality and video games in amblyopia treatment [18,39,40,56,62].…”

Section: Using Technology To Assist Traditional Handcrafting In the L...mentioning

confidence: 99%

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Computationally augmenting traditional embroidery practices: an autobiographical design process with first-person patient experience for amblyopia follow up treatment activity

Cao

Cochrane

Loke

2022

Designing Interactive Systems Conference

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Amblyopia is a common neurodevelopmental condition affecting people's vision and quality of life. Follow up treatment plays an essential role in improving amblyopia, and experts have proposed embroidery as a potential activity many times. The low compliance of amblyopia patients is one of the impediments. However, there are currently no targeted embroidery activities designed for patients. Designing embroidery activities to meet the needs of amblyopia patients in human-computer interaction and increasing patient compliance has become a design challenge in the current research field. In this research, we present an autobiographical design process to explore the augmentation of traditional embroidery activities with computationally generated patterns based on the stitching preferences of the user. We propose two design considerations for future research: Design with technology to assist traditional handcrafting and personalized design for long-term follow-up treatment through lived experience. CSS Concepts•Human-centered computing → Interaction design process and methods

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Section: Personalized Design For Long-term Follow-up Treatment Throug...mentioning

confidence: 99%

Section: Using Technology To Assist Traditional Handcrafting In the L...mentioning

confidence: 99%

Computationally augmenting traditional embroidery practices: an autobiographical design process with first-person patient experience for amblyopia follow up treatment activity

Cao

Cochrane

Loke

2022

Designing Interactive Systems Conference

View full text Add to dashboard Cite

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“…When the patient is in the ambulance, he can't be monitored much. The authors at [12] provide a solution to this problem by providing online system for monitoring. The system is implemented using an Android Application.…”

Section: Literature Surveymentioning

confidence: 99%

Patient Monitoring System with Miniaturization of Sensors

Geetha,

Deepalakshmi,

Pande

et al. 2019

IJEAT

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The quality of human life has improved with the technological advancement and miniaturization of sensors. Healthcare sector has adopted the new technology with the results of related research. Still, healthcare services are not easily affordable in developing countries. This paper aims to reduce the expenses of healthcare system through designing a remote healthcare system comprising of three modules. The first module deals with detection of patient’s vitals using sensors. Second module is to collect and analyze the data and can be sent back to the doctor or guardian through Email and/or SMS alerts in case of any emergencies using Arduino. Third module implemented by K nearest neighbor classification algorithm is used to make runtime decisions if the alert message is not answered by doctors. By implementing these three modules, we achieved a better results in prediction and accuracy than the Attribute based credential and Amrita IoT-based Medical.

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