An eHealth System for Pressure Ulcer Risk Assessment Based on Accelerometer and Pressure Data

Abstract

Pressure ulcers are a common skin disease which is associated with pain, reduced autonomy, social isolation, and reduced quality of life. There are several systems for monitoring of pressure ulcer-related risk factors on the market, but up to now no satisfactory solution is available, especially for people with medium pressure ulcer risk. We present a novel pressure ulcer risk assessment and prevention system, which combines the advantages of accelerometer and pressure sensors for monitoring pressure ulcer risk factors. Sensors are used for detection of repositionings of the person lying on the mattress. Sensor data are sent to a tablet where they are analysed and presented graphically. The system was evaluated in a long-term test at the homes of people of the target group. Results indicate that the system is able to detect movements of persons while lying in bed. Weak correlation in between mobility and Braden pressure ulcer risk was found (correlation factor = 0.31). From our data, long-term trends could be visualized as well as 24 h mobility profiles. Such graphical illustrations might be helpful for caregivers in order to optimize care of people with medium to high pressure ulcer risk.

Development and Reliability Testing of the Android-Based Braden Scale in Predicting Pressure Injury Incidents in Stroke Patients

“…The results of the study showed a weak correlation between the eHealth system and the paper-based Braden scale in predicting pressure injury risk (correlation factor = 0.31). 22 Another study that developed an Android-based application is the research conducted by Kim (2016), who developed an Android-based application aimed at detecting pressure injury risk. The study was conducted as a pilot study.…”

Assistência De Enfermagem E Fatores De Risco Na Prevenção De Lesão Por Pressão

“…Seguindo a mesma linha de raciocínio, Hayn e colaboradores (21) , mostra que no seu estudo de posicionamento de sensores em colchões com o auxílio de acelerômetros (dispositivo que mede a vibração ou a aceleração do movimento de uma estrutura) para detec-…”

A deep learning approach for pressure ulcer prevention using wearable computing

“…Another example is provided in [10], where a wearable wireless monitor continuously measures the duration and orientation of the posture of the patient through an accelerometer built into the torso and adaptive posture algorithms accurately measure the angle of the spine vertebral in order to classify the orientation of the patient. Other approaches in [14] for the PUs prevention focus more on detecting long-term pressure to particular skin regions of the body. All these systems use pressure sensors because pressure is one of the main important factors for the development of PUs.…”

“…The total risk for each person to develop PUs can be estimated in accordance with different scales: one of these is the Braden scale, which is based on several risk factors, such as poor motion activity, but also temperature, skin humidity and malnutrition [14]. PUs negatively affect the quality of life of patients and prolong their recovery process thus increasing the costs for the healthcare systems.…”