Computer Monitoring in Patient Care

Glaeser, D H; Thomas, Linda

doi:10.1146/annurev.bb.04.060175.002313

Cited by 16 publications

(4 citation statements)

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“…As a significant part of a health monitoring system, the vital signs are collected and monitored in order to indicate a person's medical status. Early attempts on determining the medical status of a patient were implemented by obtaining four basic medical vital signs (i.e., temperature, pulse rate, respiratory rate and blood pressure) (Glaeser and Thomas Jr. 1975). Afterwards, more parameters were also added to the patient's condition evaluations.…”

Section: Health Monitoringmentioning

confidence: 99%

Internet of things for remote elderly monitoring: a study from user-centered perspective

Azimi

Rahmani

Liljeberg

et al. 2016

J Ambient Intell Human Comput

175

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Improvements in life expectancy achieved by technological advancements in the recent decades have increased the proportion of elderly people. Frailty of old age, susceptibility to diseases, and impairments are inevitable issues that these senior adults need to deal with in daily life. Recently, there has been an increasing demand on developing elderly care services utilizing novel technologies, with the aim of providing independent living. Internet of things (IoT), as an advanced paradigm to connect physical and virtual things for enhanced services, has been introduced that can provide significant improvements in remote elderly monitoring. Several efforts have been recently devoted to address elderly care requirements utilizing IoT-based systems. Nevertheless, there still exists a lack of user-centered study from an all-inclusive perspective for investigating the daily needs of senior adults. In this paper, we study the IoT-enabled systems tackling elderly monitoring to categorize the existing approaches from a new perspective and to introduce a hierarchical model for elderly-centered monitoring. We investigate the existing approaches by considering the elderly requirements at the center of the attention. In addition, we evaluate the main objectives and trends in IoT-based elderly monitoring systems in order to pave the way for future systems to improve the quality of elderly's life.

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Section: Health Monitoringmentioning

confidence: 99%

Internet of things for remote elderly monitoring: a study from user-centered perspective

Azimi

Rahmani

Liljeberg

et al. 2016

J Ambient Intell Human Comput

175

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“…A good review of the status of computer monitoring in patient care in the early 1970s was written by Glaeser and Thomas [ 16 ]. In 1976 A.D. Little evaluated ICUs by comparing units with-and-without computer-based monitoring.…”

Section: Intensive Care Unit Information Systemsmentioning

confidence: 99%

Specialized High-Intensity Clinical Settings: A Brief Review

Collen¹,

Ball

2015

Health Informatics

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In the early 1960s, some medical centers began to develop intensive care unit (ICU) information systems to monitor critically ill patients. These used a combination of devices to obtain measurements and derive variables. One generated a severity index to guide treatment and compute the probability of survival; another saved data to use in analysis and educational simulations. Studies of the clinical effectiveness of such systems were mixed, despite fi ndings that variations in hospital death rates were associated with variations in care processes. While few hospitals had emergency department (ED) subsystems installed by the end of the 1980s, some participated in community emergency medical systems that routed patients to hospitals for treatment. Despite progress in intervening years, recent studies fi nd that both settings face continued challenges. The data-intensive ICU faces interoperability issues arising from incompatible piece of monitoring equipment. For the ED, exchange of patient information from other settings remains diffi cult and evidence as to the impact of health information technology remains limited.Keywords Intensive care unit information system s • Emergency department information system s • Specialized information system s • Interoperability • Clinical effectiveness • Medical device s • Community emergency medical system s Two hospital settings have an undeniable hold on the mass media and the public imagination: the intensive care unit (ICU) and the emergency department (ED). Both of these specialized high-intensity environments rely on health information technology (IT) and an array of health informatics applications to treat patients who are severely ill or injured and potentially at risk of death. Beyond those commonalities, there are signifi cant differences. The ICU treats critically ill patients transferred in from other care settings; the ED admits patients from the community to treat

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“…However, only after rediscovery in the 18 th and 19 th centuries and subsequent improvements of watch and thermometer, HR, BR, and body temperature became standard vital signs. With the introduction of the sphygmomanometer by Riva-Rocci in 1896, BP joined as the fourth vital sign 4 .…”

Section: Introduction and Historymentioning

confidence: 99%

A Broader Look: Camera-Based Vital Sign Estimation across the Spectrum

Antink

Lyra²,

Paul

et al. 2019

Yearb Med Inform

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Objectives: Camera-based vital sign estimation allows the contactless assessment of important physiological parameters. Seminal contributions were made in the 1930s, 1980s, and 2000s, and the speed of development seems ever increasing. In this suivey, we aim to overview the most recent works in this area, describe their common features as well as shortcomings, and highlight interesting “outliers”. Methods: We performed a comprehensive literature research and quantitative analysis of papers published between 2016 and 2018. Quantitative information about the number of subjects, studies with healthy volunteers vs. pathological conditions, public datasets, laboratory vs. real-world works, types of camera, usage of machine learning, and spectral properties of data was extracted. Moreover, a qualitative analysis of illumination used and recent advantages in terms of algorithmic developments was also performed. Results: Since 2016, 116 papers were published on camera-based vital sign estimation and 59% of papers presented results on 20 or fewer subjects. While the average number of participants increased from 15.7 in 2016 to 22.9 in 2018, the vast majority of papers (n=100) were on healthy subjects. Four public datasets were used in 10 publications. We found 27 papers whose application scenario could be considered a real-world use case, such as monitoring during exercise or driving. These include 16 papers that dealt with non-healthy subjects. The majority of papers (n=61) presented results based on visual, red-green-blue (RGB) information, followed by RGB combined with other parts of the electromagnetic spectrum (n=18), and thermography only (n=12), while other works (n=25) used other mono- or polychromatic non-RGB data. Surprisingly, a minority of publications (n=39) made use of consumer-grade equipment. Lighting conditions were primarily uncontrolled or ambient. While some works focused on specialized aspects such as the removal of vital sign information from video streams to protect privacy or the influence of video compression, most algorithmic developments were related to three areas: region of interest selection, tracking, or extraction of a one-dimensional signal. Seven papers used deep learning techniques, 17 papers used other machine learning approaches, and 92 made no explicit use of machine learning. Conclusion: Although some general trends and frequent shortcomings are obvious, the spectrum of publications related to camera-based vital sign estimation is broad. While many creative solutions and unique approaches exist, the lack of standardization hinders comparability of these techniques and of their performance. We believe that sharing algorithms and/ or datasets will alleviate this and would allow the application of newer techniques such as deep learning.

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Computer Monitoring in Patient Care

Cited by 16 publications

References 0 publications

Internet of things for remote elderly monitoring: a study from user-centered perspective

Internet of things for remote elderly monitoring: a study from user-centered perspective

Specialized High-Intensity Clinical Settings: A Brief Review

A Broader Look: Camera-Based Vital Sign Estimation across the Spectrum

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