Now showing 1 - 10 of 51
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    Item type:Publication,
    Approximation of the maximally flat filter by using Bézier curve with an exponential function
    (2020-02-24) ;
    Kanjanasurat, I.
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    Sithiyopasakul, P.
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    This paper presents a design of filter by using Bézier curve with an exponential function. This paper used the advantage of The Bézier curve which had ability for approximation and an exponential function which had the adaptable parameters of the polynomial. It can adjust the characteristic of frequency response for the best performance. The simulation results of various setting show the frequency response, step response. The comparison of response between the Bernstein filter and Butterworth filter in order two show that the rise time of Bernstein filter better than Butterworth filter and Bézier curve filter has not overshoot. Furthermore, the stability Nyquist criterion has been used to guarantee the stability of the transfer function.
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    Item type:Publication,
    A Novel Approach for Optimizing Molecularly Imprinted Polymer Composition in Electrochemical Detection of Collagen Peptides
    (2025-11-01)
    Vongmanee, Naphatsawan
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    Rattanapithan, Katesirin
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    Sriwichai, Phuritasinee
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    Collagen peptides are key structural proteins that play an important role in maintaining the integrity and proper function of multiple tissues in the human body. Their breakdown is recognized as an important biomarker for various degenerative conditions, including the loss of muscle mass, joint and bone disorders, and compromised skin health. Current analytical approaches for collagen detection, such as ultraviolet spectrometry, enzyme-linked immunosorbent assay (ELISA), high-performance liquid chromatography (HPLC), and histochemical staining, are widely used but often expensive, time-consuming, and reliant on specific laboratory instrumentation, limiting their practicality for routine or rapid diagnostics. This study reports a novel biosensor for collagen peptide detection based on molecularly imprinted polymers (MIPs) integrated with screen-printed electrodes (SPEs). Electrochemical measurements revealed a clear correlation between collagen concentration and current response, confirming effective molecular binding within the imprinted matrix. The optimized MIP-modified electrode exhibited a detection range of 0.1–1000 µg/mL with a limit of detection (LOD) of 1.0106 µg/mL, limit of quantification (LOQ) of 4.46 µg/mL, sensitivity of 8.3816, and correlation coefficient (R<sup>2</sup> = 0.9436). These results highlight strong selectivity and sensitivity toward collagen peptides. The proposed MIP-based biosensor provides a rapid, low-cost platform for detecting collagen degradation products and holds potential for early diagnosis and future clinical applications in degenerative disease monitoring.
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    Item type:Publication,
    Blood Vessel Extraction and Optic Disk Localization for Diabetic Retinopathy
    (2020-09-15)
    Kanjanasurat, Isoon
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    Benjangkaprasert, Chawalit
    This paper presents methods of vascular extraction and optic disk localization in the retinal images. Our approach begins with preprocessing to improve the quality of blood vessels. In the next step, a matrix filter was applied to express blood vessels. Finally, the blood vessel structure was used to estimate the location of the optic disk. The proposed method was tested on all different forty retinal images from the DRIVE database, which public retinal image dataset. The results of vessel extraction were compared with the ground truth image. The error of vascular extraction showed that the average sensitivity and accuracy were 79.81% and 94.98%, respectively. The optic disk localization achieved 97.5%.
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    Remote Temperature Monitoring for Infant Incubator using Thermal Camera
    (2022-01-01)
    Chuenpirom, Thanaporn
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    Health concerns over the premature babies are their immature organs and low birth weight. As a result, these babies may have difficulty in breathing, maintaining their healthy body temperature or being light sensitive. Infant incubator has been designed to overcome these issues. It is a medical device that could provide healthy environment, such as light, temperature and humidity. Moreover, it is also able to control and detect any changes which affect the baby's health. Health monitoring systems are critical in modern incubators, which could involve a set of sensors to read and send physiological information, such as temperature. It has also been proposed that establishing remote monitoring system via global system for mobile communications (GSM) would be beneficial for the incubators as it could send an alarm to the doctors and parents in the event that unhealthy vital parameters have been detected. Although a variety of vital parameters are included in the monitoring features of some modern incubators, the capability to detect body temperature of the babies are limited. Hence, this project proposes the development of an effective low-cost smart infant incubator that will benefit the body temperature monitoring of newborn babies using remote IoT-based monitoring system. The monitoring system is controlled through the use of a Raspberry Pi attached to a visual camera and a thermal IR camera with temperature sensor MLX90640, which was able to measure the body temperature remotely. The software of this smart infant incubator was used to improve monitoring system, which involves image processing techniques. The results of measured ambient temperature were found to be accurate and reliable. The prototypical incubator has been designed and manufactured with affordable cost, and the control system of the incubator was able to work comparably to other incubators with potential capability to measure body temperature of the infant.
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    Smart Cane for Assisting Visually Impaired People and the Blind
    (2021-01-01)
    Kramomthong, P.
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    The limited mobility of the visually impaired and blind makes daily activities such as avoiding obstacles, traveling, crossing the street, and dealing with an emergency difficult. Currently, there are active studies and developments about devices and technologies that increase deftness daily and travel independently. In this paper, we combine various functions into one device consisting of obstacle detection, navigation, and emergency calls to increase the safety and travel mobility of visually impaired people and the blind. The laboratory experiment results of whole functions were successful, and the device can alert the user with sound and vibration.
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    Pressure Swing Absorption Oxygen Concentrator equipped with Remote Monitoring Pulse Oximeter
    (2021-01-01)
    Ongtrakul, Salila
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    Thitiratannapong, Anyarin
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    The new COVID-19 disease was first identified in China at the end of 2019 and has spread rapidly all over the world. It has been projected that, by March 2021, the number of infections could reach 300 million cases and over two million deaths. One of the main implications for COVID-19 patients is pneumonia where the lung is infected, hence patients suffering from insufficient oxygen in the blood. As the number of COVID-19 cases have significantly increased, the demand for oxygen generators have also skyrocketed. This research concerns the design and construction of emergency low-cost oxygen concentrators used for mild COVID-19 symptoms, of which are forced to be treated at home. Our absorption-based oxygen concentrator uses zeolite packed in a sieve canister. An Oil-free compressor is then used to pump air in. Zeolite will absorb nitrogen from the air leaving oxygen free to travel towards the outlet. To evaluate the treatment, we have equipped the system with a pulse oximeter to measure the percent saturation oxygen, pulse rate and temperature. To prevent COVID-19 infections between patients and caretakers, we have designed an android application to remotely control the oxygen concentrator. Experiment has shown that our emergency low-cost oxygen concentrator can supply oxygen with an 85% purity rate.
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    Design and Development of an Assistive System Based on Eye Tracking
    (2022-02-01) ;
    Juhong, Aniwat
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    This research concerns the design and development of an assistive system based on eye tracking, which can be used to improve the quality of life of disabled patients. With the use of their eye movement, whose function is not affected by their illness, patients are capable of communicating with and sending notifications to caretakers, controlling various appliances, including wheelchairs. The designed system is divided into two subsystems: Stationary and mobile assistive systems. Both systems provide a graphic user interface (GUI) that is used to link the eye tracker with the appliance control. There are six GUI pages for the stationary assistive system and seven for the mobile assistive system. GUI pages for the stationary assistive system include the home page, smart appliance page, eye-controlled television page, eye-controlled air conditional page, i-speak page and entertainment page. GUI pages for the mobile assistive system are similar to the GUI pages for the stationary assistive system, with the additional eye-controlled wheelchair page. To provide hand-free secure access, an authentication based on facial landmarks is developed. The operational test of the proposed assistive system provides successful and promising results.
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    Item type:Publication,
    Low-Cost Blower-Based Ventilator
    (2021-01-01)
    Thitirattanapong, Anyarin
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    Ongtrakul, Salila
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    Ventilator has become an intensively important part of medicalhealthcare, especially in this widespread pandemic of COVID-19. The most popular one is an Ambu Bag with a bag valve mask (BVM). This ventilator, however, requires a manual resuscitator to operate its function with a limited air volume inside the bag. During the operation, moreover, it causes the noisy sound due to its mechanism as well. The alternative is using Non-Ambu Bag ventilator. This optional ventilator can regulate using user's smartphone to command the operation of ventilator with configurable quantity and rate of volume and flow.
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    Item type:Publication,
    Multi-parameter vital sign telemedicine system using web socket for covid-19 pandemics
    Telemedicine has become an increasingly important part of the modern healthcare infras-tructure, especially in the present situation with the COVID-19 pandemics. Many cloud platforms have been used intensively for Telemedicine. The most popular ones include PubNub, Amazon Web Service, Google Cloud Platform and Microsoft Azure. One of the crucial challenges of telemedicine is the real-time application monitoring for the vital sign. The commercial platform is, by far, not suitable for real-time applications. The alternative is to design a web-based application exploiting Web Socket. This research paper concerns the real-time six-parameter vital-sign monitoring using a web-based application. The six vital-sign parameters are electrocardiogram, temperature, plethysmogram, percent saturation oxygen, blood pressure and heart rate. The six vital-sign parameters were encoded in a web server site and sent to a client site upon logging on. The encoded parameters were then decoded into six vital sign signals. Our proposed multi-parameter vital-sign telemedicine system using Web Socket has successfully remotely monitored the six-parameter vital signs on 4G mobile network with a latency of less than 5 milliseconds.
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    Item type:Publication,
    Message from Technical Program Chair
    (2023-01-01) ; ;
    Kiattsin, Supaporn
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    Thaijiam, Chanchai
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    Yoshino, Kohzoh