Design and Development of a Monitoring System for the Interface Pressure Measurement of Seated People

Marenzi, Elisa; Bertolotti, Gian Mario; Cristiani, Andrea

doi:10.1109/tim.2013.2240051

Cited by 21 publications

(11 citation statements)

References 21 publications

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“…Reliable behavior monitoring requires multiple simultaneous inputs from various sensors. In such cases, pressure sensor array sheets should be installed in living spaces, such as bed, floor, and sheet sensors, to monitor human motion and vital signs [1][2][3][4][5][6][7]. A flexible pressure sensor array sheet was previously reported, which applied a printing method with a large area sheet to detect pedestrian data [8,9].…”

Section: Introductionmentioning

confidence: 99%

Stretchable conductor from oriented short conductive fibers for wiring soft electronics

et al. 2016

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We developed the stretchable wiring made from oriented short conductive fibers and applied it to a stretchable pressure sensor. The short fibers were mechanically oriented on an elastic substrate/film across the long wiring axis of wiring. The stretchable wiring with 5 mm in width had 17.0 X in initial resistance per 1 cm in length and the change in its resistance was only 214 % at 100 % elongation. Even if the wiring is stretched in the long axis direction, the short fibers form junctions with other fibers, thereby retaining their electric conductivity. A stretchable pressure sensor sheet, which is sensitive to pressure in the vertical direction and insensitive to elongation in the horizontal direction, was also successfully developed using the stretchable wiring and elastomer films. These sensor cells sensitively measured the pressure up to ca. 64 kPa. This sensor sheet was demonstrated as a shoe insole pressure sensing system and the sensor system could detect a pressure distribution from soles to adapt to its deformation.

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Section: Introductionmentioning

confidence: 99%

Stretchable conductor from oriented short conductive fibers for wiring soft electronics

et al. 2016

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“…COP has been shown to be an advantageous measure in gaining insight into human movements. The measure has been used to examine pressure points underneath a seated subject [21] and to analyze the stability of human gait [22] among other applications. Specific to the movements of interest, COP has been calculated, descriptive features extracted from the signal and used in the linear and SVM classification of a stable sit-to-stand transfer versus an unstable sit-to-stand transfer [23].…”

mentioning

confidence: 99%

In-Bed Mobility Monitoring Using Pressure Sensors

Bennett

Ren

Goubran

et al. 2015

IEEE Trans. Instrum. Meas.

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Automated assessment of older adult health is needed due to an impending demographic shift. Mobility is considered an indicator of health and is more tangible than some other health measures. Currently, many papers aim to examine a discrete movement in detail, but none describe one system of algorithms aiming to automatically identify discrete and continuous patient positions and transitions. This paper aims to develop such a system of algorithms. Discrete and continuous data were generated by 32 subjects performing a series of position-transition movements, captured by fiber-optic pressure sensor mats. Algorithm set 1 part 1 aimed to identify and distinguish between three positional states by extracting seven occupancy and dispersion features, then using 1-D and 2-D support vector machine (SVM) and linear classifiers to classify the data. Set 1 part 2 aimed to identify and distinguish between state transitions by calculating percentage pressure difference on a per sensor and large area basis, then monitoring these signals for pressure relief. The second set aimed to examine all movements by extracting six geometric features from center of pressure signals, then using 1-D and 2-D SVM and linear classifiers to classify two subtly different transitions. All methods resulted in at least a 98% identification accuracy, and some methods were able to shed light on the subtleties of transitions. The results suggest that, with more development, the presented algorithmic methods could be implemented in hospital settings to assist with identification and assessment of elderly patient mobility.

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“…COP has been shown to be an advantageous measure in gaining insight into human movements. The measure has been used to examine pressure points underneath a seated subject [106] and to analyze the stability of human gait [107] among other applications. Specific to the movements of interest, COP has been calculated, descriptive features extracted from the signal and used in the linear and SVM classification of a stable sit-to-stand transfer verses an unstable sit-to-stand transfer [108].…”

Section: Mobility Measurementsmentioning

confidence: 99%

Non-Contact Bed-Based Monitoring of Vital Signs

Bennett¹

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Vital signs are a set of commonly measured signals used internationally as a baseline in medicine and surgery and are one of the most accurate predictors of clinical and physiological deterioration. Despite the clear clinical importance of vital sign measurements, there is often missed or inadequate documentation of patient vital sign measurements. The development of unobtrusive, automated and continuous monitoring offers the potential to enhance the safety and quality of patient care. This thesis details a system that uses multiple modalities to capture data and data processing techniques to extract vital signal measurements and vital signal measurement abnormalities related to subject morbidities. This thesis focuses on the examination, testing and improvement upon a current visible light video processing technique intended to extract vital signal measurements, and expand it's use to thermal infrared video vital signal extraction. Three modalities were used to gather data from healthy adult subjects and older adult inhospital patients: thermal infrared cameras, visible light cameras and pressure sensitive mats. Subjects participated in several experimental procedures including video data capture of faces, hands and feet as well as in-bed pressure mat data capture. This data was subjected to several stages of data processing to extract vital signal measurements, which include pulse, respiration temperature and mobility measurements. Data segmentation using binary masks, level set method, and watershed method were used to identify regions of interest. An adaptive spatio-temporal video processing algorithm, the main thesis contribution, was used to extract vital signal measurements. The developed algorithm was assessed for its performance in vital signal estimation, as well its

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Design and Development of a Monitoring System for the Interface Pressure Measurement of Seated People

Cited by 21 publications

References 21 publications

Stretchable conductor from oriented short conductive fibers for wiring soft electronics

Stretchable conductor from oriented short conductive fibers for wiring soft electronics

In-Bed Mobility Monitoring Using Pressure Sensors

Non-Contact Bed-Based Monitoring of Vital Signs

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