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Analysis of the Effect of Red LED and Infrared Flip Flop Frequency on SpO2 Measurement Accuracy

Analysis of Drop Sensor Accuracy in Central Infusion Peristaltic Monitoring Based on Computer Using Wireless Communication HC-11

Brake Current Control System Modeling Using Linear Quadratic Regulator (LQR) and Proportional Integral Derivative (PID)

Analysis of Tube Leakage of X-Ray Radiation Using Geiger Muller Sensor Equipped with Data Storage

A Low Cost Electrosurgery Unit (ESU) Design with Monopolar and Bipolar Methods

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Analysis of Changes in Flow Setting Against Rise TIME Using Gas Board 7500E Sensor on Bubble CPAP

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Improved Heart Rate Measurement Accuracy by Reducing Artifact Noise From Finger Sensors Using Digital Filters

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Validity of Electronic Device-Based Application for Visual Acuity Examination: A Systematic Review

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Prayer Guide Gyroscope Bracelet for the Deaf Using MPU6050 Sensor

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Analysis of Changes in Flow Setting Against Rise TIME Using Gas Board 7500E Sensor on Bubble CPAP

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Improved Heart Rate Measurement Accuracy by Reducing Artifact Noise From Finger Sensors Using Digital Filters

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Validity of Electronic Device-Based Application for Visual Acuity Examination: A Systematic Review

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Prayer Guide Gyroscope Bracelet for the Deaf Using MPU6050 Sensor

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Design of Force Meter for Traction Unit

Force gauge is an instrument used to measure the force on the traction unit. The purpose of this study is made a force gauge meter which used during traction operation. The main component of this force gauge meter is Atmega 328, HX711 module and Loadcell type S sensor.  The mikrokontroller Atmega 328 is the main board. Loadcell type S used to detect the force of traction, and the module HX711 is used to amplify the output of the loadcell sensor. In this study, the measurements were performed in the hospital. The error  of this design is 0.01%  and 4.8% for minimum and maximum, respectively. The force gauge designed portable and comes with a battery indicator.
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Measuring Respiration Rate Based Android

Respiratory rate measurement tool is a technique used to determine the number of respiratory activity a person every minute. In the classification of the number of breathing per minute someone, can be divided into three groups, namely the so-called eupnea/normal, above average breathing called tachypnea, while below the average so-called bradypnea. This method is highly dependent on the concentration of the mind and senses actor sensitivity measurement / observation. Therefore human nature is easy to forget, tired and bored, so now developed a method of measurement or observation of respiratory rate electronically. In this study, respiratory rate measurement making use flex sensor by placing the sensor in the patient's stomach and will detect the curvature of the patient's stomach. Results from the patient's respiratory displayed on the LCD Character and android using HC-05 Bluetooth as the media sender. The results of the measurement data of the 10 respondents indicated the average - average error of 3.2%. After testing and data collection can be concluded that the appliance is eligible to use because it is still within the tolerance range of 10%.
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Central Monitor Based on Personal Computer Using Single Wireless Receiver

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A Centrifuge Calibrator Based on Personal Computer Equipped with Data Processor

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Waterbath Calibrator with Nine Channels Sensor

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Snellen Chart Based on Android Control

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Central Monitor Based on Personal Computer Using Single Wireless Receiver

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A Centrifuge Calibrator Based on Personal Computer Equipped with Data Processor

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Waterbath Calibrator with Nine Channels Sensor

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Snellen Chart Based on Android Control

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Central Monitor Based on Personal Computer Using One Wireless Receiver

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Digital Sphygmomanometer Based on Arduino Using TFT LCD Display

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Apnea Monitor Based on Bluetooth with Android Interface

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Hand Grip Measure Tool Post-Stroke Patients

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Automatic Measurement of Neutral Foot Posture Using Three-Dimensional Scanning

The Rearfoot Angle (RFA) is the most common method used for foot posture assessment, and it is also a method for evaluating the subtalar joint neutral foot posture. However, orthopedists and researchers often meet trouble for the measurements of the RFA and neutral foot posture due to lacking measurement with automation and objectivity. In general, the RFA was measured using a goniometer to align with manual markers on foot. The purpose of this study implements the automatic computing of leg angle, foot angle, and RFA by the foot model using Three-Dimensional (3D) scanning. This study aims to implement the automatic and objective computing of leg angle, foot angle, and RFA by the foot model using 3D scanning. The automatic calculation on leg angle, foot angle, and neutral foot posture has been created, tested, and validated completely in this study. Two algorithm methods are proposed to determine the midpoint on the leg or foot outline. The midline has been computed by linear regression through five midpoints. The leg and foot angles are calculated by the tibial and calcaneal midlines, respectively. Through the subject standing on eversion foot platforms, the neutral posture of the foot can be computed by the leg and foot angles determined by the 3D model scanned of the foot with various tilt angles. The determinations of the midpoint and midline have been demonstrated algorithm by MATLAB. Based on comparing with the goniometer measured, selecting the midpoint algorithm of the limit points and the lowest point methods to determine the tibial and calcaneal midlines would produce better results. The foot 3D scanning measurement proposed in this study has been tested and validated from the goniometer. This study can determine the leg angle, foot angle, and neutral foot postures for a subject with normal weight status but not suitable for obese weight status. This study can provide guidance for foot posture assessment and personal insoles design in the future.
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An Improved Power Management System in Electrosurgery Unit Monopolar Design

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Monitoring on Portable Baby Incubator Based on Microcontroller and Notification Using Short Message Service (SMS)

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Monitoring Infusion Pump Via Wireless (Occlusion Part)

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Design an Infusion Device Analyzer with Flow Rate Parameters Using Photodiode Sensor

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An Improved Power Management System in Electrosurgery Unit Monopolar Design

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Monitoring on Portable Baby Incubator Based on Microcontroller and Notification Using Short Message Service (SMS)

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Monitoring Infusion Pump Via Wireless (Occlusion Part)

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Design an Infusion Device Analyzer with Flow Rate Parameters Using Photodiode Sensor

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Suction Pump Thoracic

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Temperature Calibrator with Thermocouple Based Microcontroller

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Vital Signs Monitoring Device with BPM and SpO2 Notification Using Telegram Application Based on Thinger.io Platform

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Automatic Blood Collection and Mixer in A Blood Transfusion System Equipped with Barrier Indicators

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