Development of a robotic system for the bed-ridden

Seo, Kap-Ho; Choi, Tae-Yong; Oh, Chang Woo

doi:10.1016/j.mechatronics.2010.10.011

Cited by 27 publications

(17 citation statements)

References 13 publications

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“…Finally, patient-motion assistance is another field of research that is valued for the care of the older and disabled patients, with research solutions [ 29 ], as well as consumer-ready devices incorporating such features, so that the device supports patient motion, instead of replacing it.…”

Section: Resultsmentioning

confidence: 99%

Smart medical beds in patient-care environments of the twenty-first century: a state-of-art survey

Ghersi

Mariño

Miralles

2018

BMC Med Inform Decis Mak

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BackgroundRecent scientific achievements and technological advances have brought forward a massive display of new or updated medical devices, enabled with highly-developed embedded-control functions and interactivity. From the final decade of the twentieth century, medical beds have particularly been affected by this surge, taking on new forms and functions, while accommodating to established properties that have become well-known for these devices. The past fifteen years have also brought forward changes to conceptual frameworks, concerning the product design and manufacturing processes (standards), as well as the patient (perspectives on patient-care environments and accessibility). This work presents a state-of-art survey on electric medical beds, representing what is defined as the time of “smart beds”, as part of an increasingly comprehensive patient-care environment.MethodsA survey and assessment of market trends, research efforts and standards related to smart medical beds was performed, covering a wide range of public records of intellectual property, models and related healthcare solutions, as well as relevant research efforts in the field between 2000 and 2016. Contextual topics, necessary for the understanding of this subject, on novel technologies, disability and the reach of healthcare systems, were also researched and interpreted.ResultsThe new generation of electric medical beds is defined, with the final stage of the proposed timeline for these devices being covered. Functional, aesthetic and interactive features are presented, and the current global market for medical beds and related standards are also assessed. Finally, discussions concerning rising challenges and opportunities for these systems are explored, with the potential for adding further monitoring and assistive implementations into medical devices and environments being highlighted.ConclusionsSmart medical beds are integrated solutions for patient care, assistance and monitoring, based on a comprehensive, multidisciplinary design approach. Research in this field is critical in a context of global ageing, and powered by a surge in opportunities for accessibility solutions. Smart beds, seamlessly integrated into the healthcare system, have a unique opportunity in enabling more efficient efforts for caregivers, and more responsive environments for patients.

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Section: Resultsmentioning

confidence: 99%

Smart medical beds in patient-care environments of the twenty-first century: a state-of-art survey

Ghersi

Mariño

Miralles

2018

BMC Med Inform Decis Mak

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“…However, in rehabilitation of patients with limited or restricted mobility, IS have been used to control the positioning of robotic hospital beds to prevent the appearance of bed-pressure ulcers, also in activity monitoring and bed-rails control [5,1,12,13]. Most of the systems for automatic control of hospital bed positions are based in the detection of the posture of patients on the bed using presence sensors, digital cameras, thermal cameras, and mattress pressure sensors [6,3,10]. Those systems based on digital and thermal cameras have the disadvantages that they are affected by the environment illumination, temperature conditions, and occlusions.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of an Intelligent System for Controlling a Robotic Hospital Bed for Patient Care Assistance

Vazquez-Santacruz

Cruz-Santos

Gamboa-Zúñiga

2015

CyS

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In this article we propose an intelligent system (IS) for automatic movements of a robotic-assisted hospital bed, it is based on posture classification and recognition using mattress pressure sensors. The proposed IS allows to program a sequence of movements of the robotic bed that are executed automatically through electric actuators in response to the pressure distribution of a patient on the bed. The experimental results show that programmed movements are useful in preventing bed-sores in patients who stay in bed for extended periods of time.

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“…In rehabilitation of patients with limited or restricted mobility, the recognition of postures have been applied to avoid the appearance of bed-pressure ulcers [11], [5], [1], [7], [9], [12], [15]. Most of the systems for patient posture recognition are based on digital cameras, thermal cameras and mattress pressure sensors [6], [3], [13]. Digital and thermal cameras achieve high resolution measurements, however, they are affected by the environment illumination, temperature conditions and occlusions.…”

Section: Introductionmentioning

confidence: 99%

Posture classification of lying down human bodies based on pressure sensors array

Cruz-Santos

Beltrán-Herrera

Vazquez-Santacruz

et al. 2014

2014 International Joint Conference on Neural Networks (IJCNN)

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Human posture classification is an important tasks in medical applications, i.e., patient monitoring, ulcer prevention, and conduct diagnostic. We propose a system for posture recognition of lying-down human bodies using a low-resolution pressure sensor array. A support vector-machine was used to perform the classification of pressure maps. Three databases were constructed in order to represent the pressure maps: pressure raw-data, HOG and SIFT image descriptor vectors. It was found that the image descriptors have improved complexity time to build the classification models rather than using raw pressure maps. Experimental results was performed in order to control a robotic hospital bed.

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Development of a robotic system for the bed-ridden

Cited by 27 publications

References 13 publications

Smart medical beds in patient-care environments of the twenty-first century: a state-of-art survey

Smart medical beds in patient-care environments of the twenty-first century: a state-of-art survey

Design and Implementation of an Intelligent System for Controlling a Robotic Hospital Bed for Patient Care Assistance

Posture classification of lying down human bodies based on pressure sensors array

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