scholarly journals Pulse-Galvanic Skin Response Analysis with Multiple Sensor Device Design

2021 ◽  
pp. 109-112
Author(s):  
Mehmet Ali Dincer ◽  
Kubra Evren Sahin ◽  
Savas Sahin
Keyword(s):  
Embedded System ◽  
Galvanic Skin Response ◽  
Low Cost ◽  
Response Analysis ◽  
Recording Device ◽  
Multiple Sensors ◽  
Non Invasive ◽  
Skin Response ◽  
Multiple Sensor ◽  
Descriptive Statistical Analysis

In this study, the development of a low-cost electronic card-based medical device measuring and recording patient data was described via non-invasive methods. Both the descriptive statistical analysis and the regression model was performed from the pulse and galvanic skin response (GSR) from the volunteer' data. It is important to measure and record different data simultaneously with multiple sensors from the patient during the treatment, medical operation and care periods of the patients. The data measured from the designed device was evaluated for the patient's position, GSR, the respiration rate, the blood oxygen content, and the heart rate. The designed measurement and recording device were implemented with an embedded system-based microcontroller card. The designed device might provide for monitoring and recording data with led display, serial port, microSD card or internet of things.

scholarly journals Wearables and the Quantified Self: Systematic Benchmarking of Physiological Sensors

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4448 ◽  
Author(s):  
Günther Sagl ◽  
Bernd Resch ◽  
Andreas Petutschnig ◽  
Kalliopi Kyriakou ◽  
Michael Liedlgruber ◽  
...  
Keyword(s):  
Heart Rate ◽  
Galvanic Skin Response ◽  
Low Cost ◽  
Wearable Sensors ◽  
Sensor Data ◽  
Quantified Self ◽  
High Quality ◽  
Laboratory Equipment ◽  
Skin Response ◽  
Physiological Sensors

Wearable sensors are increasingly used in research, as well as for personal and private purposes. A variety of scientific studies are based on physiological measurements from such rather low-cost wearables. That said, how accurate are such measurements compared to measurements from well-calibrated, high-quality laboratory equipment used in psychological and medical research? The answer to this question, undoubtedly impacts the reliability of a study’s results. In this paper, we demonstrate an approach to quantify the accuracy of low-cost wearables in comparison to high-quality laboratory sensors. We therefore developed a benchmark framework for physiological sensors that covers the entire workflow from sensor data acquisition to the computation and interpretation of diverse correlation and similarity metrics. We evaluated this framework based on a study with 18 participants. Each participant was equipped with one high-quality laboratory sensor and two wearables. These three sensors simultaneously measured the physiological parameters such as heart rate and galvanic skin response, while the participant was cycling on an ergometer following a predefined routine. The results of our benchmarking show that cardiovascular parameters (heart rate, inter-beat interval, heart rate variability) yield very high correlations and similarities. Measurement of galvanic skin response, which is a more delicate undertaking, resulted in lower, but still reasonable correlations and similarities. We conclude that the benchmarked wearables provide physiological measurements such as heart rate and inter-beat interval with an accuracy close to that of the professional high-end sensor, but the accuracy varies more for other parameters, such as galvanic skin response.

scholarly journals Pulse Rate Monitoring Embedded System during Indoor Exercises Using Microcontroller

2019 ◽  
Vol 8 (3) ◽  
pp. 2064-2066
Keyword(s):  
Heart Rate ◽  
Embedded System ◽  
Low Cost ◽  
Heart Beat ◽  
Measuring Device ◽  
Non Invasive ◽  
Beat Rate ◽  
Proposed Model ◽  
Measure Heart Rate ◽  
Heart Beat Rate

In the current paper we have described the design, testing and result data of a low cost heart beat measuring device. The proposed model works on the properties of optics. Our model is non-invasive in nature and able to measure heart rate of any individual during different physical activities. We have also developed a better algorithm for measuring heart beat rate at a fixed interval of 5 seconds. The heart beat is counted by a specific microcontroller that displays the heart rate data on an LCD continuously. We have also measured the heart beat rate of an individual running on the trademill at variable speed and compared the result with our model.

scholarly journals Bridge Carrying Robot Using ZigBee Carrying Multiple Sensor

2014 ◽  
Vol 41 ◽  
pp. 1-14
Author(s):  
M. Dheeraj Reddy
Keyword(s):  
Low Cost ◽  
Heavy Vehicles ◽  
Star Network ◽  
Light Detector ◽  
Multiple Sensors ◽  
The First World War ◽  
Zigbee Network ◽  
Gas Detector ◽  
Multiple Sensor ◽  
Fire Detector

MULTI-UTILITY VEHICLE is a vehicle which carries a folding bridge and multiple sensors. This vehicle is mainly used in war-field, it helps the soldiers to cross The un-even areas with the help of the bridge. It also helps other heavy vehicles to cross the disturbed path using its bridge. It is also equipped with multiple sensors like the fire detector, gas detector, light detector. This helps the soldiers to identify the different types of threats bearing poisonous gases, increase in temperature etc. from a longer distance. Those threats can be recognized by the soldiers with the help of buzzers equipped in the detector. As it is a remote vehicle which works on the wireless transmission of ZigBee, the light detector in the vehicle is used to automatically switch on the main lights when the visibility level starts decreasing due to sunlight. This project is already implemented in European countries during the First World War. It is an upcoming technology in our country. For solving the problem of the cooperation between multi-robots, a communication system based on the ZigBee network was designed. In the hardware of the robots, the ZigBee nodes are introduced. The multi-robots form a star network by the ZigBee nodes, and they keep communication with each other by the central node. The ZigBee network has many characteristics such as low cost, low power consume, strong anti-jamming ability and real-time performance etc, it adapts to the application of intelligence. Experiments showed that the communication between the robots is reliable. This scheme is a good way for robots to complete complex task and improve working efficiency.

Package appearance matter: Facial expression and Galvanic Skin Response analysis approach

2021 ◽  
pp. 1-21
Author(s):  
Nicolas Hamelin ◽  
Suchi Agrawal ◽  
Nitin Patwa ◽  
Lars-Erik Casper Ferm ◽  
Park Thaichon
Keyword(s):  
Facial Expression ◽  
Galvanic Skin Response ◽  
Analysis Approach ◽  
Response Analysis ◽  
Skin Response

scholarly journals Multimodal-Multisensory Experiments

2020 ◽  
Author(s):  
Moein Razavi ◽  
Takashi Yamauchi ◽  
Vahid Janfaza ◽  
Anton Leontyev ◽  
Shanle Longmire-Monford ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Response Time ◽  
Galvanic Skin Response ◽  
Low Cost ◽  
Body Movement ◽  
Human Mind ◽  
Body Motion ◽  
Mouse Cursor ◽  
Skin Response ◽  
Electroencephalogram Eeg

The human mind is multimodal. Yet most behavioral studies rely on century-old measures of behavior—task accuracy and latency (response time). Multimodal and multisensory analysis of human behavior creates a better understanding of how the mind works. The problem is that designing and implementing these experiments is technically complex and costly. This paper introduces versatile and economical means of developing multimodal-multisensory human experiments. We provide an experimental design framework that automatically integrates and synchronizes measures including electroencephalogram (EEG), galvanic skin response (GSR), eye-tracking, virtual reality (VR), body movement, mouse/cursor motion and response time. Unlike proprietary systems (e.g., iMotions), our system is free and open-source; it integrates PsychoPy, Unity and Lab Streaming Layer (LSL). The system embeds LSL inside PsychoPy/Unity for the synchronization of multiple sensory signals—gaze motion, electroencephalogram (EEG), galvanic skin response (GSR), mouse/cursor movement, and body motion—with low-cost consumer-grade devices in a simple behavioral task designed by PsychoPy and a virtual reality environment designed by Unity. This tutorial shows a step-by-step process by which a complex multimodal-multisensory experiment can be designed and implemented in a few hours. When conducting the experiment, all of the data synchronization and recoding of the data to disk will be done automatically.

scholarly journals A Self-Paced Relaxation Response Detection System Based on Galvanic Skin Response Analysis

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 43730-43741 ◽  
Author(s):  
Raquel Martinez ◽  
Asier Salazar-Ramirez ◽  
Andoni Arruti ◽  
Eloy Irigoyen ◽  
Jose Ignacio Martin ◽  
...  
Keyword(s):  
Galvanic Skin Response ◽  
Detection System ◽  
Relaxation Response ◽  
Response Analysis ◽  
Skin Response ◽  
Response Detection

NON-INVASIVE BLOOD OXYGEN SATURATION MONITORING (SpO2) USING TRANSMITTANCE FOR PULSE OXIMETER

2019 ◽  
Vol 31 (06) ◽  
pp. 1950043
Author(s):  
Anupama Sarkar ◽  
Vineet Sinha ◽  
Sadhana A. Mandlik ◽  
J. Kathirvelan
Keyword(s):  
Embedded System ◽  
Oxygen Saturation ◽  
Low Cost ◽  
Vital Role ◽  
Critical Conditions ◽  
Blood Oxygen Saturation ◽  
Respiratory Problems ◽  
Non Invasive ◽  
Photo Detectors ◽  
Invasive Method

Measuring oxygen saturation of blood (SpO2) clinically plays a vital role in patient’s health monitoring. In fact, monitoring oxygen level is necessary for people having respiratory problems (pulmonary hypertension) and in other critical conditions. The primary motivation of this work is to develop a low cost computer-based oxygen saturation monitoring system using an embedded system along with lab windows CVI platform. The process of calculating the level of oxygen saturation in the blood using non-invasive method is also called as pulse oximetry, which consists of LED and photo detectors, using MSP430FG4618 microcontroller. The MSP430 employed in designing the microcontroller firmware program for digitization and transmission of the data from sensor to the computer. NI-based Lab windows/CVI Platform was developed as a part of this project to receive, plot, save data and determine the accuracy of SpO2 value. In this proposed system, we have achieved the maximum accuracy of 99.49% which is better than the previously developed methods. The proposed system is also designed with the low cost and low power consuming modules.

scholarly journals Non-Invasive Hydration Level Estimation in Human Body Using Galvanic Skin Response

2020 ◽  
Vol 20 (9) ◽  
pp. 4891-4900 ◽  
Author(s):  
Ali Rizwan ◽  
Najah Abu Ali ◽  
Ahmed Zoha ◽  
Metin Ozturk ◽  
Akram Alomainy ◽  
...  
Keyword(s):  
Human Body ◽  
Galvanic Skin Response ◽  
Hydration Level ◽  
Non Invasive ◽  
Skin Response

NON-INVASIVE BLOOD GLUCOSE ANALYSIS BASED ON GALVANIC SKIN RESPONSE FOR DIABETIC PATIENTS

2018 ◽  
Vol 30 (02) ◽  
pp. 1850009 ◽  
Author(s):  
U. Snekhalatha ◽  
T. Rajalakshmi ◽  
C. H. Vinitha Sri ◽  
G. Balachander ◽  
K. S. Shankar
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Galvanic Skin Response ◽  
Skin Resistance ◽  
Measurement Techniques ◽  
Glucose Measurement ◽  
Diabetic Patients ◽  
Non Invasive ◽  
Skin Response

Diabetes is a chronic disease due to the lack of production of hormone insulin by the beta cells in the islets of Langerhans. Many diabetic patients often draw a small amount of blood to measure the glucose level every day. This vital information is needed to control their daily food intake. One such method could cause infection and discomfort to the patient. Non-invasive glucose measurement techniques overcome these challenges to monitor blood glucose level continuously. The aim and objective of this study are as follows: (i) to correlate the skin resistance based on Galvanic skin response (GSR) and blood glucose level for diabetic and non-diabetic subject and (ii) to estimate the blood glucose value based on GSR voltage and resistance using stepwise linear regression model. About 50 diabetic and 50 non-diabetic subjects were included in this study. Blood glucose level is recorded using the minimally invasive device called accu-chek for all the subjects. GSR resistance and GSR voltage were recorded using the designed instrumentation setup. In diabetic subjects, the measured blood glucose level shows negative correlation with the GSR voltage ([Formula: see text], [Formula: see text]) and GSR resistance ([Formula: see text], [Formula: see text]). The estimated blood glucose level can be predicted with good sensitivity (94%) and accuracy (92%) using age and GSR voltage, or by the combination of age and GSR resistance in the evaluation of diabetic subjects.

scholarly journals Multimodal-Multisensory Experiments: Design and Implementation

2020 ◽  
Author(s):  
Moein Razavi ◽  
Takashi Yamauchi ◽  
Vahid Janfaza ◽  
Anton Leontyev ◽  
Shanle Longmire-Monford ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Response Time ◽  
Galvanic Skin Response ◽  
Low Cost ◽  
Body Movement ◽  
Human Mind ◽  
Body Motion ◽  
Mouse Cursor ◽  
Skin Response ◽  
Electroencephalogram Eeg

AbstractThe human mind is multimodal. Yet most behavioral studies rely on century-old measures of behavior - task accuracy and latency (response time). Multimodal and multisensory analysis of human behavior creates a better understanding of how the mind works. The problem is that designing and implementing these experiments is technically complex and costly. This paper introduces versatile and economical means of developing multimodal-multisensory human experiments. We provide an experimental design framework that automatically integrates and synchronizes measures including electroencephalogram (EEG), galvanic skin response (GSR), eye-tracking, virtual reality (VR), body movement, mouse/cursor motion and response time. Unlike proprietary systems (e.g., iMotions), our system is free and open-source; it integrates PsychoPy, Unity and Lab Streaming Layer (LSL). The system embeds LSL inside PsychoPy/Unity for the synchronization of multiple sensory signals - gaze motion, electroencephalogram (EEG), galvanic skin response (GSR), mouse/cursor movement, and body motion - with low-cost consumer-grade devices in a simple behavioral task designed by PsychoPy and a virtual reality environment designed by Unity. This tutorial shows a step-by-step process by which a complex multimodal-multisensory experiment can be designed and implemented in a few hours. When conducting the experiment, all of the data synchronization and recoding of the data to disk will be done automatically.

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