TexiCare: An innovative embedded device for pressure ulcer prevention. Preliminary results with a paraplegic volunteer

Chenu, Olivier; Vuillerme, Nicolas; Bucki, Marek; Diot, Bruno; Cannard, Francis; Payan, Yohan

doi:10.1016/j.jtv.2013.05.002

Cited by 26 publications

(17 citation statements)

References 15 publications

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“…According to studies by Reenalda, et al (2009), Yang, et al (2009), and Chenu et al (2013), in comparison to individuals without neurological injuries who shift weight 6–10 times per hour [14], individuals with SCI perform pressure reliefs, of at least 5 seconds, 4–7 times per 10 hour day[15, 16]. These studies show that pressure reliefs are being performed at a frequency of less than 1 relief per hour.…”

Section: In-seat Movement As Preventionmentioning

confidence: 99%

Seating-Related Pressure Injury Prevention in Spinal Cord Injury: a Review of Compensatory Technologies to Improve In-Seat Movement Behavior

Vos-Draper

Morrow

2016

Curr Phys Med Rehabil Rep

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Structured Abstract a) Purpose of review The purpose of this review was to (1) assess the factors related to the occurrence of pressure injuries in people with a spinal cord injury (SCI), (2) review methods of pressure injury prevention, and (3) examine compensatory technologies developed to promote in-seat movement to reduce the risk of pressure injuries. b) Recent findings Risk factors for seating-related pressure injuries are well documented, yet, ulceration remains a daily concern for individuals with SCI. While prompts and alarms have been shown to be effective at increasing in-seat movement, the devices thus far were not designed for long-term use. Wheelchair users will benefit from continued development of novel technologies designed to help them self-manage pressure injury prevention. c) Summary Optimized feedback about pressure and movement will help wheelchair users with SCI perform more effective movements to relieve pressure, perform movements more frequently and consistently, and maintain effective and frequent movement behaviors over time while feedback is available.

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Section: In-seat Movement As Preventionmentioning

confidence: 99%

Seating-Related Pressure Injury Prevention in Spinal Cord Injury: a Review of Compensatory Technologies to Improve In-Seat Movement Behavior

Vos-Draper

Morrow

2016

Curr Phys Med Rehabil Rep

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“…These new patient-driven health-monitoring devices have great potential as screening tools and need to be validated against and integrated with traditional diagnostic approaches. Examples include wearable surveillance monitors for patients with chronic diseases, personalized genomics services [74], wireless, non-invasive glucose and other blood biomarker measuring devices [77], wireless blood pressure, EEG and electrocardiographic sensors in removable body patches, and pressure sensors in textiles for people with paraplegia [75], among many others.…”

Section: Develop Wearable Diagnostic Devices and “At Home” Imaginmentioning

confidence: 99%

White Paper on P4 Concepts for Pediatric Imaging

Daldrup-Link

Sammet

Hernanz‐Schulman

et al. 2016

Journal of the American College of Radiology

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Over the past decade, innovations in the field of pediatric imaging have been largely based on single center and retrospective studies, which provided limited advances for the benefit of pediatric patients. In order to identify opportunities for potential quantum leap progress to the field of Pediatric Imaging, the American College of Radiology - Pediatric Imaging Research (ACR - PIR) Committee has identified high impact research directions related to the P4 Concept of Predictive, Preventive, Personalized, and Participatory Diagnosis and Intervention. Input from 237 members of the Society for Pediatric Radiology was clustered towards ten priority areas, which will be discussed in this article. Needs of each priority area have been analyzed in detail by dedicated ACR-PIR experts in these topics. By facilitating work on these priority areas, we hope to revolutionize the care of children by shifting our efforts from unilateral reaction to clinical symptoms to interactive maintenance of child health.

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“…Though the majority of previous studies [21,22] have paid more attention to the study of pressure distribution between the body-seat interface, Gefen [23] proposed a mathematical model that includes the connection between the skin temperature and pressure ulcers while suggesting possible interventions to reduce potential risks by optimizing microclimate factors (e.g. temperature and relative humidity).…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 99%

Microenvironment temperature prediction between body and seat interface using autoregressive data-driven model

Liu

Lin

Luo

et al. 2015

Journal of Tissue Viability

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT AbstractThere is a need to develop a greater understanding of temperature at the skin-seat interface during prolonged seating from the perspectives of both industrial design (comfort/discomfort) and medical care (skin ulcer formation). Here we test the concept of predicting temperature at the seat surface and skin interface during prolonged sitting (such as required from wheelchair users). As caregivers are usually busy, such a method would give them warning ahead of a problem. This paper describes a data-driven model capable of predicting thermal changes and thus having the potential to provide an early warning (15-to 25-minute ahead prediction) of an impending temperature that may increase the risk for potential skin damages for those subject to enforced sitting and who have little or no sensory feedback from this area.Initially, the oscillations of the original signal are suppressed using the reconstruction strategy of empirical mode decomposition (EMD). Consequentially, the autoregressive data-driven model can be used to predict future thermal trends based on a shorter period of acquisition, which reduces the possibility of introducing human errors and artefacts associated with longer duration "enforced" sitting by volunteers. In this study, the method had a maximum predictive error of <0.4 o C when used to predict the temperature at the seat and skin interface 15 minutes ahead, but required 45 minutes data prior to give this accuracy. Although the 45 minutes front loading of data appears large (in proportion to the 15 minute prediction), a relative strength derives from the fact that the same algorithm could be used on the other 4 sitting datasets created by the same individual, suggesting that the period of 45 minutes required to train the algorithm is transferable to other data from the same individual. This approach might be developed (along with incorporation of other measures such as movement and humidity) into a system that can give caregivers prior warning to help avoid exacerbating the skin disorders of patients who suffer from low body insensitivity and disability requiring them to be immobile in seats for prolonged periods.

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TexiCare: An innovative embedded device for pressure ulcer prevention. Preliminary results with a paraplegic volunteer

Cited by 26 publications

References 15 publications

Seating-Related Pressure Injury Prevention in Spinal Cord Injury: a Review of Compensatory Technologies to Improve In-Seat Movement Behavior

Seating-Related Pressure Injury Prevention in Spinal Cord Injury: a Review of Compensatory Technologies to Improve In-Seat Movement Behavior

White Paper on P4 Concepts for Pediatric Imaging

Microenvironment temperature prediction between body and seat interface using autoregressive data-driven model

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