Patient standing stability measurements using pressure sensitive floor sensors

Taylor, Matthew J.; Goubran, Rafik; Knoefel, Frank

doi:10.1109/i2mtc.2012.6229355

Cited by 8 publications

(7 citation statements)

References 10 publications

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“…It is used for functional recovery monitoring in patients in their own homes (Atallah et al, 2013). Other approaches include balance and stability monitoring using pressure-sensitive floor sensors (Taylor et al, 2012); and mobility trend monitoring using ultrasonic sensors to monitor bed exits or sit-to-stand transitions (Pouliot et al, 2012).…”

Section: Mobility and Behavioral Monitoringmentioning

confidence: 99%

Body-Worn, Ambient, and Consumer Sensing for Health Applications

McGrath¹,

Scanaill²

2013

Sensor Technologies

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There has been increasing momentum, particularly in the last decade, for new healthcare sensing and monitoring devices, driven in part by advances in sensor and sensor system technologies, which are delivering greater capabilities at economically viable costs. Moreover, global demographics are driving a significant rethink in the way we deliver healthcare. The cost of healthcare will continue to rise unabated, to economically unaffordable levels, unless we change our current approach. Technology affords greater flexibility in clinical protocols and enables the new consumer healthcare market. Sensing and sensor technologies play a key role at the center of healthcare innovation, and will continue to enable that innovation into the future as they integrate with a range of other information and communications technologies (ICT) to deliver exciting new capabilities.As new sensing technologies, such as microelectromechanical systems (MEMS), biochemical, and immunological sensors continue to emerge, their proliferation into healthcare will continue to accelerate. Sensing will enable regular or continuous monitoring of health status, which will in turn enable the delivery of new proactive models of care. In the longer term, patient outcomes should improve, because issues will be identified earlier, when interventions can be more effective and less costly. Continuous monitoring solutions have already emerged in the telehealth space for monitoring chronic conditions, such as chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), and diabetes. Such monitoring provides continuous observation of disease state, which is valuable for anticipating and avoiding the physical and financial cost of acute episodes. Treating patients after an acute episode-which is the current reactive model of care-can result in catastrophic and irreversible changes in a person's health and well-being and lead to accelerated decline. Over time, sensing will also be applied to screening the general population as part of national healthcare programs to improve public health. Individuals, particularly the increasing number of "worried well" individuals (those who are healthy but are worried about becoming ill and seek reassurance by visiting their doctor, testing themselves, or taking medication when there is no medical reason to do so), are also likely to utilize sensing technology to proactively monitor and maintain their own health.As pervasive sensing becomes the norm in healthcare, it will significantly increase our knowledge about disease risk and the effectiveness of interventions. Existing technology-based solutions are currently helping us to better understand the aging process, including identifying early signs of cognitive decline, frailty, motor and neurological issues. Sensor technologies enable a fresh look at healthcare at the individual level by building a detailed understanding of changes in a person's health status. This data provides the early warning signs for issues that most affect health and well-being. Ch...

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Section: Mobility and Behavioral Monitoringmentioning

confidence: 99%

Body-Worn, Ambient, and Consumer Sensing for Health Applications

McGrath¹,

Scanaill²

2013

Sensor Technologies

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“…Although in this work, we focus on the sensing and algorithms that lead toward unobtrusive human detection to enable personalization using Bluetooth connections to a host, however, the peer-to-peer (P2P) methodology discussed in [91] could be a promising methodology for communication. Research was undertaken on how to assess standing stability of a patient and thus look at the specific physiological characteristics of a person using unobtrusive floor mats [92]. This offers another method of integrating in a system that performs human identification using only unobtrusive sensors.…”

Section: Personalization and Human Detection With Ambient Sensors Andmentioning

confidence: 99%

Sensory Substitution: Situational Awareness and Resilience using Available Sensors

Russell¹

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I would like to take this opportunity to thank my amazing and incredible supervisors, Dr. Rafik Goubran and Dr. Felix Kwamena. What an astounding honour it has been for me to have each of these superb advisors. You have unceasingly provided keen and diligent feedback and much appreciated detailed input, from not only your immense knowledge, but also from your quick thinking. Your steadfast support and abiding dedication has been instrumental in the journey through this program. I sincerely extend to you with profound respect, and with heartfelt appreciation, an epic, mammoth, and gigantic thank you. Next, I greatly appreciate and thank each person who has participated on my committees. Thank you to my talented and outstanding colleagues in the lab, and to my friends, and to other great researchers and impressive students with whom I have collaborated throughout campus and all around the world. Also, thank you to all the many admirable professors with whom I have worked or sought advice, especially my former supervisor Dr. Alan Steele, and thank you to those other professionals with whom I have worked. Thank you very much to all of the administrative staff, technical staff, and support staff who have helped me in any way during my time at Carleton. I especially thank my awesome Mom, Norma, for standing with me every step of the way, from well before my first day of Kindergarten through to the preparation of this document, and of course for her love and support in all of my life. Above all, I thank God for everything!! I am ever so grateful.

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“…Amaya Arcelus designed algorithms to measure bed transfer characteristics such as sit-to-stand transfer duration [32], symmetry [41] and bouncing [42]. She also explored the use of a pressure-sensitive floor plate to better characterize bed exits [32] and to measure the standing stability of patients [47]. Signal processing algorithms were proposed to measure the breathing characteristics of a bed occupant [48] including respiratory disturbances [49] and respiratory effort [50].…”

Section: Related Workmentioning

confidence: 99%

“…data to get pressure images compared stability between a young person and an older adult [47], [60] and obtained individuals bed-exit time from bed mat [61].…”

Section: Related Workmentioning

confidence: 99%

Patient Mobility Monitoring Through the Analysis of Bed Exit Centre of Pressure

Ren¹

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The increase in the older adult population and the benefits of independent living are leading to the introduction of new approaches for monitoring the health and well-being of seniors living in their own homes. Technologies that can monitor an older person's daily activities and detect changes in functionality have the potential to act as early warning systems so that help can be provided before a serious health event occurs. Home monitoring can contribute to the creation of more supportive environments for aging at home. This thesis uses a pressure-sensitive mat that is placed between a bed frame and the mattress. The pressure data can reveal important clinical information about the bed occupant. This thesis deals with the analysis of bed exit characteristics in terms of centre of pressure trajectory and its dynamic behaviour. The algorithms were tested on data collected from bed occupants to demonstrate the various clinical features. A graphical user interface (GUI) was designed to assist health care providers in interpreting and comparing these clinical features. This work will be used to monitor frail older adults in their own homes to assist with early detection of mobility decline.ii

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Patient standing stability measurements using pressure sensitive floor sensors

Cited by 8 publications

References 10 publications

Body-Worn, Ambient, and Consumer Sensing for Health Applications

Body-Worn, Ambient, and Consumer Sensing for Health Applications

Sensory Substitution: Situational Awareness and Resilience using Available Sensors

Patient Mobility Monitoring Through the Analysis of Bed Exit Centre of Pressure

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