Software and Hardware Design Specifications for Quantifying Carbohydrate Contents in Food

Gambo, Ishaya; Alabi, Oluwasegun; Olufokunbi, K.C.; Massenon, Rhodes

doi:10.4316/jacsm.202002002

Cited by 2 publications

(1 citation statement)

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“…Notably, data-driven calculations can be made with technology's support to improve healthcare delivery (Chen et al, 2016) and quality of care for patients (Gambo and Soriyan, 2017). This technology assists with monitoring, diagnosis, and smart systems (Jovanov et al, 2005;Bossen et al, 2015;Chen et al, 2016;Pramanik et al, 2017;Gambo et al, 2020). However, these systems are critical because they involve patients living on a large and continued scale.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Design Process for Predicting and Controlling Blood Glucose in Type 1 Diabetic Patients

Gambo

Massenon

Kolawole

et al. 2021

International Journal of Healthcare Information Systems and Informatics

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Engineering smart software that can monitor, predict, and control blood glucose is critical to improving patients' quality of treatments with type 1 Diabetic Mellitus (T1DM). However, ensuring a reasonable glycemic level in diabetic patients is quite challenging, as many methods do not adequately capture the complexities involved in glycemic control. This problem introduces a new level of complexity and uncertainty to the patient's psychological state, thereby making this problem nonlinear and unobservable. In this paper, we formulated a mathematical model using carbohydrate counting, insulin requirements, and the Harris-Benedict energy equations to establish the framework for predicting and controlling blood glucose level regulation in T1DM. We implemented the framework and evaluated its performance using root mean square error (RMSE) and mean absolute error (MAE) on a case study. Our framework had less error rate in terms of RMSE and MAE, which indicates a better fit with reasonable accuracy.

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Section: Introductionmentioning

confidence: 99%

Analysis and Design Process for Predicting and Controlling Blood Glucose in Type 1 Diabetic Patients

Gambo

Massenon

Kolawole

et al. 2021

International Journal of Healthcare Information Systems and Informatics

Self Cite

View full text Add to dashboard Cite

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Smart Automatic Petrol Pump System Based on RFID and ESP8266

Baqir

Motlak

2021

J. Phys.: Conf. Ser.

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Traditional methods of monitoring petrol pump in gas station by humans on site are unable to meet the expectations for efficiency, accuracy and cost. Setting up an RFID and ESP8266 based petrol station monitoring system is a good approach to improve monitoring efficiency and to improve management efficiency in stations. Although there are still some problems to be solved for RFID and WIFI technologies, their unique features still make the monitoring system based on them a promising system. The architecture of the RFID as prepaid system and ESP8266 as monitoring system in petrol station is presented in this paper.

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Software and Hardware Design Specifications for Quantifying Carbohydrate Contents in Food

Cited by 2 publications

References 0 publications

Analysis and Design Process for Predicting and Controlling Blood Glucose in Type 1 Diabetic Patients

Analysis and Design Process for Predicting and Controlling Blood Glucose in Type 1 Diabetic Patients

Smart Automatic Petrol Pump System Based on RFID and ESP8266

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