Evidence-based multi-sensor information fusion for remote health care systems

Sung, Wen‐Tsai; Chang, Kuo-Yi

doi:10.1016/j.sna.2013.09.034

Cited by 40 publications

(15 citation statements)

References 29 publications

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“…The promotion process presents various obstacles, such as users' concerns regarding the safety and privacy of personal information [8] and the effect of e-payments on medical reimbursement [9]. Previous studies on mobile health care have mostly focused on the technological development and clinical expansion [10][11][12], and few studies have been conducted on consumer adoption. As mobile health care requires personal information, this creates higher requirements for privacy and safety.…”

Section: Research Backgroundmentioning

confidence: 99%

Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method

et al. 2019

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Identifying the key influencing factors that affected users’ adoption of sustainable mobile health care and improving alternative mobile health services continuously can help ordinary consumers (especially vulnerable populations) use extensive health resources cheaply and conveniently; which can increase the quality and equity of health services; so as to promote the sustainable development of medical resources. We integrated decision making trial and evaluation laboratory (DEMETEL)-based analytic network process (DANP) and a modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method to form a DDANPMV (DEMATEL+ DANP + Modified VIKOR) model to examine consumers’ adoption of mobile health care. This method was developed to not only help decision-makers evaluate alternative mobile health care and determine the best option, but also use to identify and improve the performance gap of alternative products with the goal of satisfying the aspirations of consumers. Four types of mobile health care products were analyzed. The results indicate that social norms; product image; and consumer trust are three key factors in consumer adoption. The results can guide policy design and implementation. The government and enterprises should improve mobile health care through these three aspects.

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Section: Research Backgroundmentioning

confidence: 99%

Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method

et al. 2019

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“…Therefore, we further explored the relationship and degree among dimensions and criteria [13] [ [43][44][45][46][47][48][49][50] with respect to performance improvement. First, this study addressed both internal and external influence factors in consumers' adoption of mobile health care, applying literature analysis, discussion, and summarization.…”

Section: Research Content and Frameworkmentioning

confidence: 99%

“…The promotion process presents various obstacles, such as users' concerns regarding the safety and privacy of personal information [11] and the effect of e-payments on medical reimbursement [12]. Previous studies on mobile health care have mostly focused on the technological development and clinical expansion [13,14,15], and few studies have been conducted on consumer adoption. Because mobile health care requires personal information, this creates higher requirements for privacy and safety.…”

mentioning

confidence: 99%

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

Liu¹,

Yang²,

Liu³

et al. 2017

Preprint

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IntroductionMobile health care is an important aspect of electronic medicine that involves using mobile devices (e.g., mobile phones, tablet computers, and personal digital assistants) to provide medical services and health information to patients [1]. Health care faces numerous problems, including high medical costs, restricted coverage, complex medical procedures, and uneven distribution of resources [2]. Mobile health care can help to reduce medical costs and waiting times and improve the efficiency of medical resources use [3]. Mobile health care involves the following categories [4]: (1) Mobile phone applications such as Chun Yu Yi Sheng, which acts as an information exchange platform linking doctors and patients, and comprehensive mobile health care platforms that hospital service providers can apply for appointment registrations, payments, and medical alerts. (2) The collection of users' medical data through wearable devices or mobile intelligent terminals for health monitoring. For example, Kangkang launched a portable intelligent sphygmomanometer that can dynamically monitor blood pressure over a 24-hour period and automatically send data to a corresponding server. Users can view their 24-hour blood pressure analysis report through WeChat. (3) Diagnosis systems that connect with the Internet of Things (IoT). For example, an integrated diagnosis system developed by German researchers can transmit medical data to smart phones through Bluetooth technology. Smartphones applications can then process these data for reference and diagnosis.With the development of mobile networks, many countries have entered the 4G era and benefit from continuously improving mobile communication networks and innovation in software and hardware technology. Abstract: Identifying the key influence factors of mobile health care adoption is a key issue. We established an evaluation index system for consumer adoption and verified the effectiveness of our model by using a DDANPMV model. This model comprises three parts: (1) the decision making trial and evaluation laboratory (DEMATEL) technique, which is used to establish an influence network relationship map at both the "dimensions" and "criteria" levels; (2) a DEMATEL-based analytic network process (ANP; DANP), which determines the interrelationships and influential weights among the criteria; and (3) a modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, which applies the influence weights obtained through DANP to performance gaps regarding consumer perception. VIKOR thereby evaluates and improves performance gaps with the aims of satisfying consumer needs, achieving continuous improvement, and enabling sustainable product development. The main innovation of this method is the construction of the DDANPMV model, which integrates the DEMATEL, DANP, and modified VIKOR approaches to examine consumers' adoption of mobile health care. This method was developed to not only help decision-makers evaluate alternative mobile health care and determine the best option b...

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“…D-S evidence theory has a strong theoretical foundation, which not only deals with the uncertainty caused by randomness factors, but also deals with the ambiguity caused by an uncertain environment. It does not require any a priori probability and conditional probability density and has been widely applied in many fields, such as failure diagnosis and pattern recognition [11][12][13][14][15].…”

Section: Open Accessmentioning

confidence: 99%

Multi-Sensor Building Fire Alarm System with Information Fusion Technology Based on D-S Evidence Theory

et al. 2014

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Multi-sensor and information fusion technology based on Dempster-Shafer evidence theory is applied in the system of a building fire alarm to realize early detecting and alarming. By using a multi-sensor to monitor the parameters of the fire process, such as light, smoke, temperature, gas and moisture, the range of fire monitoring in space and time is expanded compared with a single-sensor system. Then, the D-S evidence theory is applied to fuse the information from the multi-sensor with the specific fire model, and the fire alarm is more accurate and timely. The proposed method can avoid the failure of the monitoring data effectively, deal with the conflicting evidence from the multi-sensor robustly and improve the reliability of fire warning significantly.

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Evidence-based multi-sensor information fusion for remote health care systems

Cited by 40 publications

References 29 publications

Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method

Improving Sustainable Mobile Health Care Promotion: A Novel Hybrid MCDM Method

Key Influence Factors of Consumers� Intentions Towards Mobile Health Care Promotion: An Empirical Study Based on the DDANPMV Model

Multi-Sensor Building Fire Alarm System with Information Fusion Technology Based on D-S Evidence Theory

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