Enter the realm of innovation as we explore Macro IoT Solution’s pioneering Biotechnology Project. This article unveils the synergy between biology and technology, shaping the future of healthcare and beyond.
Microcontroller based Wireless Temperature and Heart Beat Read-out:
In this paper, we propose a Simple Wireless transmission System using common approach Sensor Platform called the wireless based Patient Sensor platform (WSP, Sensor Node) which has remote access capability. The goals of the WSP are to establish: Standard sensor node (System on module), a common software. The proposed platform architecture (Sensor Node) offers flexibility, easy customization for different vital parameter collecting and sending.
A prototype has been established based on wireless communication channel. Wireless Lan (IEEE.802.15.4) has been used as communication channel on our prototype (Sensor node). Desire sensor information (vital parameter) can be viewed remotely, and also vital parameter can be adjusted to meet demand.
Project: Biotechnology Projects, Microcontroller Projects, Sensor Projects, Wireless Projects
Development of Optimal Photosensors Based Heart Pulse Detector:
The development of heart pulse instruments rapidly fast in market since 21st century. However, the heart pulse detector is expensive due to the complicated system and it is used widely only in hospitals and clinics. The project is targeting to develop a significant photosensor to the medical fields that is easy to use and monitor their health by the user everywhere. The other target is to develop a comfortable instrument, reliable, accurate result to develop of heart pulse using low cost photosensors.
This project involved both hardware and software with related to signal processing, mathematical, computational, formalisms, modeling techniques for transforming, transmitting and also for analog or digital signal. This project also used Peripheral Interface Controller (PIC) 16F877A microcontroller as the main function to control other elements. Result showed this project functioned smoothly and successfully with overall objectives were achieved.
Apart from that, this project gives good services for people to monitor their heart condition from time to time. In the future, wireless connection e.g., Global System for Mobile Communications (GSM) and ZigBee would be developed to make the system more reliable to the current world. Furthermore, the system should be compatible to various environments such as Android based OS so that it can be controlled away from the original location.
- Biotechnology Projects,
- Microcontroller Projects,
- Sensor Projects,
- Signal Processing Projects.
Performance Study on ZigBee-Based Wireless Personal Area Networks for Real-Time Health Monitoring:
When multiple ZigBee wireless personal area networks (WPANs) are in close proximity to each other, contentions and collisions in transmissions will lead to increased packet delays. However, there is no existing study on how delay performance would be affected in a crowded real-life environment where each person walking down a busy street would be wearing a ZigBee WPAN.
This letter studies the use of ZigBee WPANs in such a real-life environment for real-time heart beat monitoring. To be pragmatic, we derived a mobility pattern from the analysis of a real-life video trace. Then, we estimated the delay performance from the video trace by combining data collected from ZigBee experiments. The results show that the 300 MS packet delay requirement will not be met for only 11% of the time. When failure occurs, it will last for an average duration of 1.4 s.
White Blood Cell Segmentation in Microscopic Blood Images Using Digital Image Processing:
Evaluation of blood smear is a commonly clinical test these days. Most of the time, the hematologists are interested on white blood cells (WBCs) only. Digital image processing techniques can help them in their analysis and diagnosis. For example, disease like acute leukemia is detected based on the amount and condition of the WBC. The main objective of this paper is to segment the WBC to its two dominant elements: nucleus and cytoplasm.
The segmentation is conducted using a proposed segmentation framework that consists of an integration of several digital image processing algorithms. Twenty microscopic blood images were tested, and the proposed framework managed to obtain 92% accuracy for nucleus segmentation and 78% for cytoplasm segmentation. The results indicate that the proposed framework is able to extract the nucleus and cytoplasm region in a WBC image sample.
White blood cells (WBC) or leukocytes play a significant role in the diagnosis of different diseases, and therefore, extracting information about that is valuable for hematologists. In the past, digital image processing techniques have helped to analyze the cells that lead to more accurate, standard, and remote disease diagnosis systems. However, there are a few complications in extracting the data from WBC due to wide variation of cells in shape, size, edge, and position.
Moreover, since illumination is imbalanced, the image contrast between cell boundaries and the background varies depending on the condition during the capturing process. This study is focusing on WBC segmentation using L2 microscopic images. Our goal is to segment the WBC nucleuses and cytoplasm using a framework that has been developed using digital image processing.
The use of image processing techniques has developed rapidly in the last few years, to the point where hematologists can use blood images to automatically process blood slides for the first screening in detecting diseases. These techniques can help to find cell counts in human blood automatically and also can provide information about ratio of nucleus versus cytoplasm to identify and classify different types of WBCs such as neutrophil, basophil, lymphocyte, etc.
Therefore, in this paper, we present a proposed framework that consists of several methods that integrates together for nucleus segmentation and cytoplasm extraction.
In conclusion, Macro IoT Solution & Engineering Service‘s Biotechnology Project exemplifies the convergence of biotech and IoT, promising groundbreaking solutions for healthcare, agriculture, and environmental sustainability. Embrace the transformative potential of this visionary endeavor.