Personalized Health Monitoring System of Elderly Wellness at the Community Level in Hong Kong

Yu, Lisha; Chan, Wai Man; Zhao, Yang; Tsui, Kwok‐Leung

doi:10.1109/access.2018.2848936

Cited by 42 publications

(36 citation statements)

References 36 publications

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“…Theoretically, our study offers an example of a system that provides multidimension, multiscale, and multiprecision data for elderly health monitoring. The integrated use of such data from multiple sources can offer more reliable information as compared with single-source data [ 28 , 58 ]. Based on the data collected from the proposed system, we have developed methods for incorporating data from multiple sources for predictive modeling (eg, wellness prediction for community-dwelling elderly people) [ 28 , 59 ].…”

Section: Discussionmentioning

confidence: 99%

“…Sleep quality was measured using the Pittsburgh Sleep Quality Index scale [ 50 ], one of the most commonly used clinical measures of sleep quality [ 51 , 52 ], with the score ranging from 0 to 21 (higher scores indicate worse sleep quality). Older adults were asked to self-report their daily wellness level, also called the Health Index, by rating on a 10-point scale from 1 (“feeling terrible”) to 10 (“feeling terrific”) [ 28 ].…”

Section: Methodsmentioning

confidence: 99%

“…In particular, such a system provides a feasible solution to the increasing demand for long-term care support and monitoring to community-dwelling elderly individuals who may have difficulties in accessing health services [ 13 - 16 ]. A review of the current literature showed that telehealth systems have been assisting older adults in specific health-related areas such as chronic conditions [ 17 - 22 ], falls [ 23 , 24 ], and general wellness [ 25 - 28 ]. For example, Or and Tao [ 19 ] developed a patient-centered, tablet computer-based self-monitoring system to enable older adults with type 2 diabetes and hypertension to measure and monitor their blood glucose and blood pressure.…”

Section: Introductionmentioning

confidence: 99%

“…However, as reported in previous studies [ 16 , 28 , 30 , 31 ], there are still some restrictions and challenges that could block the timely detection of health deterioration when implementing continuous monitoring systems, such as offline data processing and analysis, usage of individual smart devices, and single-parameter measurement. Motivated by these challenges, we aimed to integrate some state-of-the-art techniques into these monitoring systems, such as advanced biomedical signal analysis, statistical data analysis, predictive analytics, and decision support, which can help provide efficient health care services [ 32 - 34 ].…”

Section: Introductionmentioning

confidence: 99%

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A Personalized Health Monitoring System for Community-Dwelling Elderly People in Hong Kong: Design, Implementation, and Evaluation Study

Wang¹,

Zhao²,

Yu³

et al. 2020

J Med Internet Res

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Background Telehealth is an effective means to assist existing health care systems, particularly for the current aging society. However, most extant telehealth systems employ individual data sources by offline data processing, which may not recognize health deterioration in a timely way. Objective Our study objective was two-fold: to design and implement an integrated, personalized telehealth system on a community-based level; and to evaluate the system from the perspective of user acceptance. Methods The system was designed to capture and record older adults’ health-related information (eg, daily activities, continuous vital signs, and gait behaviors) through multiple measuring tools. State-of-the-art data mining techniques can be integrated to detect statistically significant changes in daily records, based on which a decision support system could emit warnings to older adults, their family members, and their caregivers for appropriate interventions to prevent further health deterioration. A total of 45 older adults recruited from 3 elderly care centers in Hong Kong were instructed to use the system for 3 months. Exploratory data analysis was conducted to summarize the collected datasets. For system evaluation, we used a customized acceptance questionnaire to examine users’ attitudes, self-efficacy, perceived usefulness, perceived ease of use, and behavioral intention on the system. Results A total of 179 follow-up sessions were conducted in the 3 elderly care centers. The results of exploratory data analysis showed some significant differences in the participants’ daily records and vital signs (eg, steps, body temperature, and systolic blood pressure) among the 3 centers. The participants perceived that using the system is a good idea (ie, attitude: mean 5.67, SD 1.06), comfortable (ie, self-efficacy: mean 4.92, SD 1.11), useful to improve their health (ie, perceived usefulness: mean 4.99, SD 0.91), and easy to use (ie, perceived ease of use: mean 4.99, SD 1.00). In general, the participants showed a positive intention to use the first version of our personalized telehealth system in their future health management (ie, behavioral intention: mean 4.45, SD 1.78). Conclusions The proposed health monitoring system provides an example design for monitoring older adults’ health status based on multiple data sources, which can help develop reliable and accurate predictive analytics. The results can serve as a guideline for researchers and stakeholders (eg, policymakers, elderly care centers, and health care providers) who provide care for older adults through such a telehealth system.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Personalized Health Monitoring System for Community-Dwelling Elderly People in Hong Kong: Design, Implementation, and Evaluation Study

Wang¹,

Zhao²,

Yu³

et al. 2020

J Med Internet Res

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“…It also enables them to easily monitor and analyze an elder's vital signs and well-being. For more details on this system see Yu and colleagues [1]. e present study involved two elder care centers.…”

Section: Introductionmentioning

confidence: 99%

Monitoring data quality for telehealth systems in the presence of missing data

Mahmood

Wittenberg

Zwetsloot

et al. 2019

International Journal of Medical Informatics

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Background: All-in-one station-based health monitoring devices are implemented in elder homes in Hong Kong to support the monitoring of vital signs of the elderly. During a pilot study, it was discovered that the systolic blood pressure was incorrectly measured during multiple weeks. A real-time solution was needed to identify future data quality issues as soon as possible.Methods: Control charts are an e ective tool for real-time monitoring and signaling issues (changes) in data. In this study, as in other healthcare applications, many observations are missing. Few methods are available for monitoring data with missing observations. A data quality monitoring method is developed to signal issues with the accuracy of the collected data quickly. is method has the ability to deal with missing observations. A Hotelling's T-squared control chart is selected as the basis for our proposed method.Findings: e proposed method is retrospectively validated on a case study with a known measurement error in the systolic blood pressure measurements. e method is able to adequately detect this data quality problem. e proposed method was integrated into a personalized telehealth monitoring system and prospectively implemented in a second case study. It was found that the proposed scheme supports the control of data quality.Conclusions: Data quality is an important issue and control charts are useful for real-time monitoring of data quality. However, these charts must be adjusted to account for missing data that o en occur in healthcare context.

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Body Sensor Networking, Design and Algorithms

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Personalized Health Monitoring System of Elderly Wellness at the Community Level in Hong Kong

Cited by 42 publications

References 36 publications

A Personalized Health Monitoring System for Community-Dwelling Elderly People in Hong Kong: Design, Implementation, and Evaluation Study

A Personalized Health Monitoring System for Community-Dwelling Elderly People in Hong Kong: Design, Implementation, and Evaluation Study

Monitoring data quality for telehealth systems in the presence of missing data

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