Noninvasive Monitoring Device to Evaluate Sleep Quality at Mining Facilities

Pino, Esteban J.; Paz, Astrid Dorner De la; Aqueveque, Pablo

doi:10.1109/tia.2014.2334740

Cited by 16 publications

(4 citation statements)

References 32 publications

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“…Jung et al [56] used strain gauge-based load cells, placed under the bed legs, to measure BCG and infer the HRV. A device based on pressure sensors, implemented on the bed, was developed by Pino et al [93], measuring the body position and the number of respiratory cycles per minute. An algorithm to estimate apneic episodes and the periods out of bed was later added to the device [94].…”

Section: Developed Devices For Sleep Quality Estimation a Devicesmentioning

confidence: 99%

A Review of Approaches for Sleep Quality Analysis

Mendonça¹,

Mostafa²,

Morgado‐Dias³

et al. 2019

IEEE Access

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Sleep quality is directly related to overall wellness and can reveal symptoms of several diseases. However, the term ''sleep quality'' still lacks a definitional consensus and is commonly assessed in sleep labs with polysomnography, comprising high costs, or through sleep questionnaires, a highly subjective technique. Multiple methods have been proposed to address the estimation of sleep quality, and devices were developed to conduct the examination in the subject's home. The objective of this paper is to analyze the methods and the devices presented in the literature, assessing the development of objective markers that could lead to an improvement of the subjective sleep experience understanding, leading to developments in the treatment of sleep quality deficits. A systematic review was conducted, selecting research articles published from 2000 to 2018, and two research questions were formulated, specifically, ''what methods for sleep quality assessment have been developed'' and ''what kind of measures are employed by the devices that have been developed to estimate sleep quality.'' The research trend for the assessment of sleep quality is based on the sleep macrostructure, and it was verified that despite the convenience and considerable popularity among the consumers of home health monitoring of devices, such as actigraphs, the validity of these tools regarding the estimation of sleep quality still needs to be systematically examined. A detailed resume of the key findings and the identified challenges are presented, ascertaining the main gaps in the current state of the art. INDEX TERMS Sleep quality analysis, monitoring devices, home detection.

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Section: Developed Devices For Sleep Quality Estimation a Devicesmentioning

confidence: 99%

A Review of Approaches for Sleep Quality Analysis

Mendonça¹,

Mostafa²,

Morgado‐Dias³

et al. 2019

IEEE Access

View full text Add to dashboard Cite

show abstract

“…This device when installed at the mining facilities provides the respiration frequency, body movements (BMs), time in bed (TB), apnea events and the sleep depth. Measuring of sleep quality is important as inadequate amount of sleep may lead to fatigue and higher risk of accidents [4].…”

Section: Literature Reviewmentioning

confidence: 99%

IOT Based Wireless Safety System for Monitoring the Physiological and Environmental Variables of Mine Workers.

Dabhade¹,

Gajare²

2019

IJRTE

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The coal mining is essential as well as a risky venture. The miners working here need to handle the extreme environmental condition and the physiological hazardous without specialized examination. A continuous monitoring of the environmental change and the physiological variables is needed in order to enhance the condition for people and the equipment. A Continuous monitoring of the environmental gases and the physiological variables is the major challenge and need to be followed for safety of workers working in mine. This paper present the design and the implementation of real time monitoring device to measure the physiological variables and the gases present in the mining. The proposed system consists of physiological variables, ECG signal, respiratory activity, body temperature, fall detection and also the environmental gases. The sensors will be embedded throughout the T-shirt to measure the variables. The device will monitor the real time data and wireless communication network will be provided by using Wi-Fi link module. By using IOT it is easy to upload the data on the web server and it also provides data security.

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“…According to Street et al 23 ) , job stress was associated with an average of 33.6% work impairment and $45,240.70 (SD = 30,655.26) in productivity costs per employee and workers feeling stressed ‘all of the time’ four week before reporting the highest productivity costs (M = $75,337.16; SD = $47,379.12). Other mental health problems, like the fatigue and sleep deprivation can decrease the focus and attention to tasks 24 ) and augment the risks of accidents 25 ) which rise in long working hours, i.e., irregular shift work 26 ) . The accidents in mining can be fatal.…”

Section: Introductionmentioning

confidence: 99%

Mental health in mine workers: a literature review

Pizarro

Fuenzalida

2021

Ind Health

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The Mining environment is hazardous for worker's health. It can affect the mental health, triggering symptoms and diseases, such as anxiety, job stress, depression, sleep disorders, mental fatigue and other. The aim of this study was to describe and analyze the scientific literature about the mental health in mine workers and to summarize the findings. The method used was Scoping review. The principal outcomes were the following: evidence in the last 12 years in the topic was focused in four themes 1) Psychological problems & personal factors (38.2%); 2) Psychosocial problems & health related factor (23.6%); 3) Well-being (21.1%) and 4) Physical problems & organization factors (17.1%). Several affections, symptoms, characteristics or disorders were inquired about mine worker's mental health, such as job strain, unsafety experiences, poor quality of sleep, non-subjective well-being, job unsatisfaction, social-relations conflict, risk of accidents and injuries, MSDs, substance abuse, dangerous working conditions and demanding job organization, and so on. For those factors, Mining could expose to serious mental health problems to a part of their workers. It's necessary to deepen the elaboration of international policies and carry out more scientific research and suggestions to make programs on the topic.

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Noninvasive Monitoring Device to Evaluate Sleep Quality at Mining Facilities

Cited by 16 publications

References 32 publications

A Review of Approaches for Sleep Quality Analysis

A Review of Approaches for Sleep Quality Analysis

IOT Based Wireless Safety System for Monitoring the Physiological and Environmental Variables of Mine Workers.

Mental health in mine workers: a literature review

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