Design and Construction of a Low-Cost Pressure and Temperature Sensing Mattress with Software-Based Digital Countdown Timer for Bedsore Control and Prevention
Andrew Akpan,
Funmilayo Mofoluwaso Owolabi,
Kolawole Oluwaseun Owoyemi
Issue:
Volume 10, Issue 1, June 2023
Pages:
1-16
Received:
21 September 2022
Accepted:
8 October 2022
Published:
27 June 2023
Abstract: Bedsores, also called pressure ulcers, are localized injuries on the skin and/or the underlying tissues, usually over a bony prominence as a result of prolonged pressure and temperature on the skin due to lack of position changes for more than 2 hours. While there are caregivers saddled with the responsibility of repositioning immobile patients; the workload on the caregiver and/or nurses often limits consistency and efficiency in postural changes. Devices used to monitor these pressure ulcers are often expensive. The aim of this paper is on design and construction of an easily adoptable solution for the control and prevention of bedsores as well as addressing the relatively high cost, complexity and additional inconveniences posed by existing solutions. A low-cost pressure and temperature sensing mattress has been successfully designed and constructed using two LM35DZ temperature sensors, an MHT1 load-cells connected in Wheatstone-bridge configuration format with a HX711 load-cell amplifier, a software-based digital countdown timer implemented on Internet-ready Arduino Mega 2560 embedded system development board with an intelligent liquid crystal display unit as well as an overlapping mattress with an automatic backup uninterrupted power supply system such that the durations of the pressure and temperature occurrences between the patient and the pressure bed interface is measured and an alarm is triggered after or before 90 minutes to alert the caregivers and/or nurses for repositioning the patient. The designed, constructed, calibrated and validated low-cost pressure and temperature sensing mattress have been tested on patients with successful results. The designed and constructed pressure and temperature sensing mattress can be deployed to hospitals, clinics and healthcare centres. The complete software program for the implementation of the low-cost pressure and temperature sensing mattress is presented. Few recommendations are proposed for further improvements.
Abstract: Bedsores, also called pressure ulcers, are localized injuries on the skin and/or the underlying tissues, usually over a bony prominence as a result of prolonged pressure and temperature on the skin due to lack of position changes for more than 2 hours. While there are caregivers saddled with the responsibility of repositioning immobile patients; th...
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Research Article
Technological Stages of Neural Network AI Generation of System Program Code Based on Modular Neuro Integration
Evgeny Bryndin*
Issue:
Volume 10, Issue 1, June 2023
Pages:
17-23
Received:
29 August 2025
Accepted:
12 September 2025
Published:
9 October 2025
Abstract: Artificial intelligence-powered code generation is revolutionizing system software development through the use of machine learning. Neural network generation of software modules of the system is carried out according to prompts in natural language. A trend of vibe coding has emerged in the world of technology – code generation by neural networks from natural language. For example, Cursor via ChatGPT 4.1 can generate various software modules based on descriptions of their functions in natural language. Creating large software systems from generated modules requires integration. Neurocomplexation of software modules is the process of integrating or combining various software modules to create complex systems based on neural models or artificial neural networks. This approach is proposed to be used in the field of artificial intelligence and machine learning to build complex systems where individual modules interact and jointly perform tasks. Promising areas of application are, firstly, the creation of cognitive systems and intelligent ensembles of agents and assistants. Secondly, modeling of thinking and brain function for research in neuroscience, and thirdly, the development of complex solutions in the field of automation and robotics. The key features of the neural network integration process are, firstly, the integration of modules with different functions (recognition, data processing, training). Secondly, the use of neural network algorithms for adaptation and self-training. Thirdly, ensuring the flexibility and scalability of the system.
Abstract: Artificial intelligence-powered code generation is revolutionizing system software development through the use of machine learning. Neural network generation of software modules of the system is carried out according to prompts in natural language. A trend of vibe coding has emerged in the world of technology – code generation by neural networks fr...
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