Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

Gravina, Raffaele; Alinia, Parastoo; Ghasemzadeh, Hassan; Fortino, Giancarlo

doi:10.1016/j.inffus.2016.09.005

Cited by 728 publications

(324 citation statements)

References 136 publications

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“…However, improvements of micro characteristics due to pharmacological intervention (e.g. levodopa) can also be observed [98] However, advances of FOG detection within habitual environments mean wearable algorithms should not go unutilised [104,105] and be integrated to the type of analytical frameworks that could aid care [106,107].…”

Section: Pathologymentioning

confidence: 99%

Wearables for independent living in older adults: Gait and falls

Godfrey

2017

Maturitas

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Solutions are needed to satisfy care demands of older adults to live independently. Wearable technology (wearables) are one approach to offer a viable means for ubiquitous, sustainable and scalable monitoring in habitual free-living environments. Gait has been presented as a relevant (bio) marker in ageing and pathological studies, with objective assessment achievable by inertial-based wearables. Commercial wearables have struggled to provide accurate analytics and have been limited by non-clinically oriented gait outcomes. Moreover, some research grade wearables also fail to provide transparent functionality due to limitations in proprietary software. Innovation within this field is often sporadic with large heterogeneity of wearable types and algorithms for gait outcomes leading to a lack of pragmatic use. This review provides a summary of recent wearable gait assessment literature, focusing on the need for an algorithm fusion approach to measurement cumulating in the ability to better detect and classify falls. A brief presentation of wearables in one pathological group is presented, identifying appropriate work for researchers in other cohorts to utilise. Opportunities for how this domain needs to progress are also summarised. Highlights• Wearables can meet older adults' needs for independent living.• Gait assessment is a (bio)marker within ageing and different pathologies.• Measuring gait with wearables has been innovative but fraught with inconsistencies.

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Section: Pathologymentioning

confidence: 99%

Wearables for independent living in older adults: Gait and falls

Godfrey

2017

Maturitas

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“…[15][16][17]. In [18], it discussed clear motivations and advantages of multisensor data fusion and particularly focuses on physical activity recognition, aiming at providing a systematic categorization and common comparison framework of the literature, by identifying distinctive properties and parameters affecting data fusion design choices at different levels (data, feature, and decision). In [19], it presented the electronic health record big data analytics for precision medicine, including data preprocessing, mining, and modeling.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Healthcare Systems Assisted by Data Analytics and Mobile Computing

Wang

Zhou

et al. 2018

Wireless Communications and Mobile Computing

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It is entering an era of big data, which facilitated great improvement in various sectors. Particularly, assisted by wireless communications and mobile computing, mobile devices have emerged with a great potential to renovate the healthcare industry. Although the advanced techniques will make it possible to understand what is happening in our body more deeply, it is extremely difficult to handle and process the big health data anytime and anywhere. Therefore, data analytics and mobile computing are significant for the healthcare systems to meet many technical challenges and problems that need to be addressed to realize this potential. Furthermore, the advanced healthcare systems have to be upgraded with new capabilities such as machine learning, data analytics, and cognitive power for providing human with more intelligent and professional healthcare services. To explore recent advances and disseminate state-of-the-art techniques related to data analytics and mobile computing on designing, building, and deploying novel technologies, to enable intelligent healthcare services and applications, this paper presents the detailed design for developing intelligent healthcare systems assisted by data analytics and mobile computing. Moreover, some representative intelligent healthcare applications are discussed to show that data analytics and mobile computing are available to enhance the performance of the healthcare services.

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“…Although multisource information is used in the above works to improve the performance of RUL estimation, observations from multiple sensors were assumed to be collected at the same time, that is, time consistent as shown in Figure 1(a). However, in practical engineering, observations from multiple sensors are usually not aligned in time due to different sampling periods, distinct initial sampling time, and many other reasons [22,23]. This results in that multisensor observations are not synchronous but asynchronous as shown in Figure 1(b) and poses new challenges to the RUL estimation.…”

Section: Introductionmentioning

confidence: 99%

Remaining Useful Life Estimation Based on Asynchronous Multisource Monitoring Information Fusion

Xue

et al. 2017

Journal of Control Science and Engineering

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An asynchronous RUL fusion estimation algorithm is presented for the hidden degradation process with multiple asynchronous monitoring sensors based on multisource information fusion. Firstly, a state-space type model is established by modeling the stochastic degradation as a Wiener process and transforming asynchronous indirectly observations in the fusion period to the fusion time. The statistical characteristics of involved noises and their correlations are analyzed. Secondly, the estimate of the hidden degradation state is obtained by applying Kalman filtering with correlated noises to the established state-space model, where the synchronized observations are fused. Also, the unknown model parameters are recursively identified based on the Expectation-Maximization (EM) algorithm with the Generic Algorithm (GA) adopted to solve the maximization problem. Finally, the probability distribution of RUL is obtained using the fused degradation state estimation and the updated identification result of the model parameters. Simulation results show that the proposed fusion method has better performance than the RUL estimation with single sensor.

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Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

Cited by 728 publications

References 136 publications

Wearables for independent living in older adults: Gait and falls

Wearables for independent living in older adults: Gait and falls

Intelligent Healthcare Systems Assisted by Data Analytics and Mobile Computing

Remaining Useful Life Estimation Based on Asynchronous Multisource Monitoring Information Fusion

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