Surveillance Camera-based Cardio-respiratory Monitoring for Critical Patients in ICU

Wang, Haowen; Huang, Jia; Wang, Guowei; Lu, Hongzhou; Wang, Wenjin

doi:10.1109/bhi56158.2022.9926954

Cited by 10 publications

(3 citation statements)

References 12 publications

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“…These cameras could utilise advanced photoplethysmographic techniques, remotely measure minute skin colour changes caused by arterial pulsations, and enable non-contact heart rate measurement. Simultaneously, the CCTV system can calculate respiratory rates by capturing movements of the intercostal muscles between the chest and abdomen during inhalation and exhalation ( 60 ). However, to ensure the accuracy and reliability of the CCTV system, the camera must have a clear, unobstructed overhead view of the patient.…”

Section: Discussionmentioning

confidence: 99%

“…CCTV can also be utilised in emergency department intensive care units (ICUs) to monitor vital signs ( 60 ). Employed CCTV cameras in an ICU for continuous cardiopulmonary monitoring.…”

Section: Integrating Ai-sensors Into Emergency Department Designmentioning

confidence: 99%

“…Simultaneously, the CCTV system can calculate respiratory rates by capturing movements of the intercostal muscles between the chest and abdomen during inhalation Optimised OR. and exhalation (60). However, to ensure the accuracy and reliability of the CCTV system, the camera must have a clear, unobstructed overhead view of the patient.…”

Section: Considering Ai Sensor Use In the Emergency Department Icu In...mentioning

confidence: 99%

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Designing Chinese hospital emergency departments to leverage artificial intelligence—a systematic literature review on the challenges and opportunities

Tan,

Mills

2024

Front. Med. Technol.

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Artificial intelligence (AI) has witnessed rapid advances in the healthcare domain in recent years, especially in the emergency field, where AI is likely to radically reshape medical service delivery. Although AI has substantial potential to enhance diagnostic accuracy and operational efficiency in hospitals, research on its applications in Emergency Department building design remains relatively scarce. Therefore, this study aims to investigate Emergency Department facility design by identifying the challenges and opportunities of using AI. Two systematic literature reviews are combined, one in AI and the other in sensors, to explore their potential application to support decision-making, resource optimisation and patient monitoring. These reviews have then informed a discussion on integrating AI sensors in contemporary Emergency Department designs for use in China to support the evidence base on resuscitation units, emergency operating rooms and Emergency Department Intensive Care Unit (ED-ICU) design. We hope to inform the strategic implementation of AI sensors and how they might transform Emergency Department design to support medical staff and enhance the patient experience.

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Section: Discussionmentioning

confidence: 99%

“…CCTV can also be utilised in emergency department intensive care units (ICUs) to monitor vital signs ( 60 ). Employed CCTV cameras in an ICU for continuous cardiopulmonary monitoring.…”

Section: Integrating Ai-sensors Into Emergency Department Designmentioning

confidence: 99%

Section: Considering Ai Sensor Use In the Emergency Department Icu In...mentioning

confidence: 99%

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Designing Chinese hospital emergency departments to leverage artificial intelligence—a systematic literature review on the challenges and opportunities

Tan,

Mills

2024

Front. Med. Technol.

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Challenges and prospects of visual contactless physiological monitoring in clinical study

Huang,

Hu,

Liu

et al. 2023

npj Digit. Med.

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The monitoring of physiological parameters is a crucial topic in promoting human health and an indispensable approach for assessing physiological status and diagnosing diseases. Particularly, it holds significant value for patients who require long-term monitoring or with underlying cardiovascular disease. To this end, Visual Contactless Physiological Monitoring (VCPM) is capable of using videos recorded by a consumer camera to monitor blood volume pulse (BVP) signal, heart rate (HR), respiratory rate (RR), oxygen saturation (SpO2) and blood pressure (BP). Recently, deep learning-based pipelines have attracted numerous scholars and achieved unprecedented development. Although VCPM is still an emerging digital medical technology and presents many challenges and opportunities, it has the potential to revolutionize clinical medicine, digital health, telemedicine as well as other areas. The VCPM technology presents a viable solution that can be integrated into these systems for measuring vital parameters during video consultation, owing to its merits of contactless measurement, cost-effectiveness, user-friendly passive monitoring and the sole requirement of an off-the-shelf camera. In fact, the studies of VCPM technologies have been rocketing recently, particularly AI-based approaches, but few are employed in clinical settings. Here we provide a comprehensive overview of the applications, challenges, and prospects of VCPM from the perspective of clinical settings and AI technologies for the first time. The thorough exploration and analysis of clinical scenarios will provide profound guidance for the research and development of VCPM technologies in clinical settings.

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Camera-based Plantar Perfusion Imaging for Detecting Lower Limb Arterial Blockage

Huang,

et al. 2023

2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)

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Surveillance Camera-based Cardio-respiratory Monitoring for Critical Patients in ICU

Cited by 10 publications

References 12 publications

Designing Chinese hospital emergency departments to leverage artificial intelligence—a systematic literature review on the challenges and opportunities

Designing Chinese hospital emergency departments to leverage artificial intelligence—a systematic literature review on the challenges and opportunities

Challenges and prospects of visual contactless physiological monitoring in clinical study

Camera-based Plantar Perfusion Imaging for Detecting Lower Limb Arterial Blockage

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