Charmaine C. Paglinawan

Hand tremor analyzer using accelerometry for preliminary diagnosis, classification and monitoring of selected movement disorders

In this paper, a system that is designed to analyze and monitor hand tremor which is to aid medical practitioners in classifying and diagnosing movement disorders in accordance to the frequency of the tremor. The tremor classifications fall into Parkinsons, Essential, and Drug Induced. Diagnosing the underlying cause of tremor does not necessarily lead to curing of the disease itself, but usually works on curing the symptom or lessening it. By maximizing the framework of the system, it can produce useful information about the tremors that is used for emergency and medical diagnosis. The tremors at least 3 Hz, at most 12 Hz can be detected. This device can be useful for the early detection of Parkinsons disease and other pathological tremors, aiding medical practitioners in terms in a time efficient way. The device can be used to monitor the progression of the tremor.

A novel dual-modulation design low input impedance current comparator

This paper presents a new current comparator with a novel dual-modulation concept. The dual modulation concept has the ability to increase the accuracy quite substantially. The output voltage range still reaches its maximum peak value of 1.2V when the differential current is only 0.6 nA with a 3.3 V supply voltage. In addition to high-accuracy, the design reduced the input impedance of the proposed current comparator to 1/(gm2ro) even without the use of an operational amplifier (OPA). Moreover, the novel current comparator was implemented using TSMC 0.35 μm Mixed-Signal 2P4M Polycide 3.3V models with an active area of 0.0024 mm2.

Development of a graphics processing unit accelerated stereo vision system for depth estimation

Stereo vision is an important computer vision technique which estimates depth information from two images - similar to how human vision works. However, the computational intensity of stereo vision deters implementation in real-time systems. Recently, massively parallel processors called Graphics Processing Units or GPUs are gaining traction as an acceleration platform to offload compute-intensive tasks to. This paper presents the development of a GPU-accelerated stereo vision system called DepthStream. The DepthStream algorithm uses a combined absolute difference and census cost, cross-based cost aggregation and bitwise fast region voting to achieve error rates up to 3.7× lower than Block-Matching based algorithms in mainstream libraries. Leveraging the parallel processing power that GPUs offer enables the DepthStream algorithm to achieve processing times up to 3.12× faster than Semi-Global Matching based implementations in the same libraries. The study also includes measurements of the accuracy of the estimated distances of the developed stereo vision system. Results show that the estimated depths of the DepthStream stereo vision system are within 4% of the true value for distances less than 6m. Statistical analysis also indicate that there is no significant difference between the stereo vision systems estimated distances and the actual value.

Gamified teaching and learning platform for Christian Academy of Manila

The traditional teaching and learning method has already brought good results in the students of Christian Academy of Manila; however, a new approach is welcome. This project is for a class in Christian Academy of Manila, whose educators seek to have another approach in teaching Technology and Livelihood Education. The focus is covering a specific topic which is basic electronics, which has need not only for theories but also application. The development of this new teaching and learning experience involves gamification which is the application of game elements in the academe, needing for the construction of a website and a training kit. Unit testing and usability testing was done in order to assess the platform, both the website and the training kit. Gathered data and results demonstrated the efficiency of the project by showing the correctness of every function, which led to the attainment of this projects significance.

ZigBee Based Monitoring of Temperature and Humidity of Server Rooms using Thermal Imaging

Real-time monitoring of temperature and humidity of a computer server room became crucial in order to assure that the performance of the server is not affected due to excessive room temperature and humidity. Unregulated and unmonitored increase in temperature and humidity of server room may also cause damage to equipment. Color mapping algorithm transforms the temperature colors of the image captured by the IP camera while the Bicubic algorithm interpolates data points on a two-dimensional grid. The aim of the system is to provide alert mechanism to the administrator when the server rooms temperature and humidity goes beyond the critical value. The creation of the ZigBee based device capable of monitoring temperature and humidity of server rooms using thermal imaging can be used for remote administration and give a primary warning to the person who is in charge of the locality. The device can be used to effectively notify the administrator to avoid server equipment to fail.

Gamified outcomes-based teaching and learning assessment tool for Mapúa Institute of Technology

In traditional teaching and learning, most students tend to laidback because of the unseen progress of their work. Introduction of this gamified outcomes-based teaching and learning assessment tool can lead into a more transparent and enthusiastic experience, providing a new perspective in the academe. The study aimed to analyze the effectiveness of the tool through the time each experiment is done and the final grades of the students.i This includes the website and the training kit for Logic Circuits and Switching Theory Laboratory (COE117L). The website comprises the gamification elements for both students and professor, while the training kit will be the source of the input data. There was a controlled group who will use the assessment tool, and an uncontrolled group that was subject to the traditional teaching and learning experience. Data showed the degree of negative linear correlation, implying that when the time of completing the experiment drops off, the grade for that experiment will increase, and vice versa. Hence, the website and the training kit were able to give instructions present in its content as well as its delivery because of the gamification process.

A design of a drug driver system for controlling an insulin pump and microcontroller hardware implementation using two-point calibration algorithm

The study covered a drug driver system that can be used for continuous glucose monitoring system intended to drive a pump that will administer insulin for the purpose of combating diabetes. The system begins with a microcontroller unit having an analog voltage input that is derived from a calibrated linearity curve relative to that of glucose concentration, the microcontroller algorithm processes the data and determines whether an output of insulin or glucagon is needed. The output of the microcontroller unit is a time variable pulse which is dependent on the glucose concentration reading. Separately, a full custom IC design is conducted for an actual drug driver circuit for the purpose of miniaturization to make the system viable for implantation. The hardware test for the microcontroller unit indicates that the algorithm can be used to properly read glucose concentrations and provide an output accordingly. However, there are delays within the microcontroller which affect the response of the output. For the full custom IC design of the drug driver circuit, it is observed that the parasitic capacitances and resistances affect the propagation delay and power dissipation of the circuit but can still be used in a drug driver system.