Unobtrusive Wearable Technology for Health Monitoring

Handbook of Research on Innovations in the Diagnosis and Treatment of Dementia - Advances in Psychology, Mental Health, and Behavioral Studies ◽

10.4018/978-1-4666-8234-4.ch020 ◽

2015 ◽

pp. 382-395

Author(s):

James Amor ◽

Christopher James

Keyword(s):

Health Monitoring ◽

Wearable Technology ◽

Wearable Devices ◽

Health And Wellness ◽

Minimal Impact ◽

Long Term Monitoring ◽

Term Monitoring ◽

Common Device ◽

Do So

There are a number of situations in the context of health and wellness where it is desirable to monitor a user for a period of time – either for short term assessment or longer term monitoring. It is further desirable, especially for long term monitoring, that the device chosen to do so has a minimal impact on the user. This form of monitoring is unobtrusive monitoring and uses wearable technology to achieve its aims. This chapter presents an overview of unobtrusive monitoring using wearable devices, discusses some common device types and the data that are available and makes some recommendations for factors to consider when choosing or designing a device for unobtrusive monitoring.

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Unobtrusive Wearable Technology for Health Monitoring

Wearable Technologies ◽

10.4018/978-1-5225-5484-4.ch025 ◽

2018 ◽

pp. 562-577

Author(s):

James Amor ◽

Christopher James

Keyword(s):

Health Monitoring ◽

Wearable Technology ◽

Wearable Devices ◽

Health And Wellness ◽

Minimal Impact ◽

Long Term Monitoring ◽

Term Monitoring ◽

Common Device ◽

Do So

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Quantitatively linking long-term monitoring data to condition ratings through a reliability-based framework

Structural Health Monitoring ◽

10.1177/1475921720949965 ◽

2020 ◽

pp. 147592172094996

Author(s):

Katherine A Flanigan ◽

Jerome P Lynch ◽

Mohammed Ettouney

Keyword(s):

Structural Health Monitoring ◽

Lower Limit ◽

Health Monitoring ◽

Reliability Index ◽

Monitoring Data ◽

Limit States ◽

Structural Health ◽

Long Term Monitoring ◽

Term Monitoring

The holy grail of structural health monitoring is the quantitative linkage between data and decisions. While structural health monitoring has shown continued growth over the past several decades, there is a persistent chasm between structural health monitoring and the ability of structure owners to make asset management decisions based on structural health monitoring data. This is in part due to the historical structural health monitoring paradigm cast as a problem of estimating structural state and detecting damage by monitoring changes in structural properties (namely, reduced stiffness). For most operational structures, deterioration does not necessarily correspond to changes in structural properties with structures operating in their elastic regimes even when deteriorated. For structures like bridges, upkeep decisions are based on federally mandated condition ratings assigned during visual inspection. Since condition ratings are widely accepted in practice, the authors propose that condition ratings serve as lower limit states (i.e. limit states below yielding) with long-term monitoring data used to quantify these lower limit states in terms of the reliability index. This article presents a method to quantify the reliability index values corresponding to the lower limit states described by existing condition ratings. Once the reliability index thresholds are established, the data-driven reliability index of the in-service asset can be monitored continuously and explicitly mapped to a condition rating at any time. As an illustrative example, the proposed framework for tracking structural performance is implemented with long-term monitoring data collected on a pin-and-hanger assembly on the Telegraph Road Bridge, which is a highway bridge located in Monroe, MI. The successful implementation of the proposed method on the Telegraph Road Bridge results in a human-independent and truly data-driven decision-making strategy that is synergistic with the state of practice, eliminates risks associated with infrequent visual inspections, and expands condition ratings to encompass the entire measurable domain of damage that may exist in an asset.

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Optimal Arrangement of Wearable Devices Based on Lifespan of Animals as Device Transporter Materials for Long-Term Monitoring of Wildlife Animal Sensor Network

Sensors and Materials ◽

10.18494/sam.2020.2560 ◽

2020 ◽

Vol 32 (1) ◽

pp. 13

Author(s):

Keijiro Nakagawa ◽

Hill Hiroki Kobayashi

Keyword(s):

Sensor Network ◽

Wearable Devices ◽

Optimal Arrangement ◽

Long Term Monitoring ◽

Term Monitoring

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The Design of Densely Measured Points Long-Term Monitoring System Based on Wireless Sensor Network

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.594-597.1123 ◽

2012 ◽

Vol 594-597 ◽

pp. 1123-1127

Author(s):

Xiang Cheng ◽

Zhan Hui Liu ◽

Wei Cheng Gao

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Monitoring System ◽

Health Monitoring ◽

Wireless Sensor ◽

Monitoring Method ◽

Technology Application ◽

Long Term Monitoring ◽

Term Monitoring

The wireless sensor network is a highly active area of research. Much progress has been made in wireless sensor network research for structural monitoring, but the research of the long-term monitoring system based on wireless sensor network in civil engineering structures is still at the beginning stage. The paper proposed to use wireless sensor network to realize intensive measurement long-term monitoring, in order to improve the effect of structural health monitoring. It introduced the characteristics and deficiencies of the wireless technology application in the structure health monitoring system, and proposed the system design principle of the densely measured points long-term monitoring system based on wireless sensor network. We has carried on the detailed argumentation and design from system architecture, the terminal node, monitoring method three aspects, and put forward a set of solutions.

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