Browsing by Author "Sheikholeslami, Davood Fanaei"
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- Design and integration of an elastic sensor sheet for pressure ulcer prediction: Materials, methods, and network connectionsPublication . Mohammad Amini, Mohammad; Sheikholeslami, Davood Fanaei; Dionísio, Rogério Pais; Heravi, Ahmadreza; Faghihi, MahdiThis paper discusses the design and integration of an elastic sensor sheet for SENSOMATT, a smart device that predicts pressure ulcers caused by prolonged skin pressure. It covers the mechanical and electrical aspects of the sensor sheet design, including material selection, mould and tooling design, and network design. The paper describes testing of different configurations of the sensor sheet and various network structures. The final design of the sensor sheet is successfully constructed and tested, and the article provides a brief introduction to the printed circuit board design and manufacturing process.
- A novel elastic sensor sheet for pressure injury monitoring: design, integration, and performance analysisPublication . Mohammad Amini, Mohammad; Devin, Mohammad Ghassem Farajzadeh; Alves, Paulo; Sheikholeslami, Davood Fanaei; Hariri, Fatemeh; Dionísio, Rogério Pais; Faghihi, Mahdi; Ribeiro, Fernando Reinaldo; Metrôlho, J.C.M.M.; Fonseca, Luís Filipe RodriguesThis study presents the SENSOMATT sensor sheet, a novel, non-invasive pressure monitoring technology intended for placement beneath a mattress. The development and design process of the sheet, which includes a novel sensor arrangement, material selection, and incorporation of an elastic rubber sheet, is investigated in depth. Highlighted features include the ability to adjust to varied mattress sizes and the incorporation of AI technology for pressure mapping. A comparison with conventional piezoelectric contact sensor sheets demonstrates the better accuracy of the SENSOMATT sensor for monitoring pressures beneath a mattress. The report highlights the sensor network’s cost-effectiveness, durability, and enhanced data measurement, alongside the problems experienced in its design. Evaluations of performance under diverse settings contribute to a full understanding of its potential pressure injury prediction and patient care applications. Proposed future paths for the SENSOMATT sensor sheet include clinical validation, more cost and performance improvement, wireless connection possibilities, and improved long-term monitoring data analysis. The study concludes that the SENSOMATT sensor sheet has the potential to transform pressure injury prevention techniques in healthcare.
- PoPu-Data: a multilayered, simultaneously collected lying position datasetPublication . Fonseca, Luís Filipe Rodrigues; Ribeiro, Fernando Reinaldo; Metrôlho, J.C.M.M.; Santos, Adriana; Dionísio, Rogério Pais; Amini, Mohammad; Silva, Arlindo F.; Heravi, Ahmad Reza; Sheikholeslami, Davood Fanaei; Fidalgo, Filipe; Rodrigues, Francisco; Santos, Osvaldo; Coelho, Patrícia; Aemmi, Seyyed SajjadThis study presents a dataset containing three layers of data that are useful for body position classification and all uses related to it. The PoPu dataset contains simultaneously collected data from two different sensor sheets—one placed over and one placed under a mattress; furthermore, a segmentation data layer was added where different body parts are identified using the pressure data from the sensors over the mattress. The data included were gathered from 60 healthy volunteers distributed among the different gathered characteristics: namely sex, weight, and height. This dataset can be used for position classification, assessing the viability of sensors placed under a mattress, and in applications regarding bedded or lying people or sleep related disorders.