Browsing by Author "Ajibola, T.M."

Now showing 1 - 4 of 4
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    APPLICATION OF SUPPORT VECTOR REGRESSION MODELLING FOR THE PREDICTION OF IMPACT ATTENUATION OF 3D PRINTED HIP PROTECTORS
    (Faculty of Engineering and Technology, University of Ilorin, 2023-06) Suleiman Abimbola, Yahaya; Muniru, I.O.; Saminu, Sani; Ibitoye, M.O.; Ajibola, T.M.; Jilantikiri, L. J.; Ripin, Z.M.; Ridzwan, M.I.Z.
    3D printed thermoplastic polyurethanes of different shore hardness were used to make hip protectors for the prevention of osteoporotic hip fracture, which was then tested. The result was used to develop a support vector regression model to estimate the effect of the protector shore hardness, shell thickness, and infill density on the impact attenuation capacity at different energy levels. The results from the model show that the impact attenuation ability of a hip protector is significantly dependent on the infill density of the hip protector and its shore hardness. Excellent agreement was found between the model results and test results.
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    BLUETOOTH-BASED AUTOMATED PATIENT MONITORING DEVICE
    (School of Engineering and Engineering Technology of the Modibbo Adama University of Technology Yola, Nigeria., 2024-03) Ibitoye, M.O.; Bakare, T.I.; Saminu, S.; Yahaya, S.A.; Ajibola, T.M.
    Illness, characterized as a disease or a state of sickness impacting both body and mind, often manifests as general body weakness or localized pain. Despite the availability of technical and therapeutic innovations aimed at enhancing human health and life quality, the continuous monitoring of patients by healthcare professionals for 24 hours daily is impractical. To systematically address this challenge, this study sought to create an automated patient healthcare device. Utilizing sensor technology, an AT-Mega microcontroller, and a Bluetooth module, the device facilitates independent health monitoring or monitoring by a caregiver. The system is designed to effectively handle situations where no immediate caregiver is available to attend to the patient's needs. This is achieved by enabling the patient to send a help message to the caregiver through a simple hand motion. Positioned on the patient's hand, the device allows tilting at specific angles to convey programmed help messages, each direction indicating a distinct message. Through sensitivity analysis during device testing, which gauged the device's success in recognizing hand movements for seeking assistance, the average sensitivity was determined to be 76.6%. These results signify promising outcomes, encouraging further exploration in clinical settings. Beyond accommodating seamless use by neurologically intact patients, the device proves beneficial for individuals with hemiparalysis, conditions hindering effective communication, and any circumstance necessitating the presence of a caregiver.
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    BLUETOOTH-BASED AUTOMATED PATIENT MONITORING DEVICE
    (Nigerian Journal of Engineering Science and Technology Research, 2024) Ibitoye, M.O.; Bakare, T.I.; Yahaya, S.A.; Saminu, S.; Ajibola, T.M.
    Illness, characterized as a disease or a state of sickness impacting both body and mind, often manifests as general body weakness or localized pain. Despite the availability of technical and therapeutic innovations aimed at enhancing human health and life quality, the continuous monitoring of patients by healthcare professionals for 24 hours daily is impractical. To systematically address this challenge, this study sought to create an automated patient healthcare device. Utilizing sensor technology, an AT-Mega microcontroller, and a Bluetooth module, the device facilitates independent health monitoring or monitoring by a caregiver. The system is designed to effectively handle situations where no immediate caregiver is available to attend to the patient's needs. This is achieved by enabling the patient to send a help message to the caregiver through a simple hand motion. Positioned on the patient's hand, the device allows tilting at specific angles to convey programmed help messages, each direction indicating a distinct message. Through sensitivity analysis during device testing, which gauged the device's success in recognizing hand movements for seeking assistance, the average sensitivity was determined to be 76.6%. These results signify promising outcomes, encouraging further exploration in clinical settings. Beyond accommodating seamless use by neurologically intact patients, the device proves beneficial for individuals with hemiparalysis, conditions hindering effective communication, and any circumstance necessitating the presence of a caregiver.
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    DESIGN OF A LEUKEMIA DETECTION SYSTEM USING DIGITAL BLOOD SMEAR IMAGES
    (Faculty of Engineering and Technology, University of Ilorin, 2023-06) Saminu, Sani; Muniru, I.O.; Suleiman Abimbola, Yahaya; Oladimeji, A. J.; Ajibola, T.M.; Ibitoye, M.O.; Ahmed, Yusuf Kola; Jilantikiri, L. J.
    Leukaemia is a fatal blood cancer that occurs due to the formation of abnormal and excessive increases in white blood cells in the bone marrow or blood. The traditional approaches used to diagnose the disease involve the manual analysis of blood sample images obtained from a microscope. This approach is tedious, slow, timeconsuming, and prone to errors. Therefore, automatic detection of leukaemia based on the counting of the two blood cells is paramount for diagnosis and increasing the patient’s survival rate. This paper presents a system that can detect each of the two blood cells needed through image processing, segmentation, and classification. The detection, classification, and counts are only limited to two of the cells present in the digital blood smear which are the white blood cells (WBCs) and red blood cells (RBCs). The model was evaluated with a collection of confirmed cases and normal cases to test its effectiveness in predicting the presence of Leukaemia by computing the ratio of WBC to RBC. The suggested model exhibits good performance results and can be utilized to make a reliable computer-aided diagnosis detection of leukaemia cancer.