scholarly journals Design and Realization of Heart Rate Signal Detection System Based on Android Mobile Phone

2013 ◽  
Author(s):  
Yuxin Zhu ◽  
Jing Han
Keyword(s):  
Heart Rate ◽  
Signal Detection ◽  
Mobile Phone ◽  
Detection System

scholarly journals Optimization of RF signal detection and alert system for restricted area

2019 ◽  
Vol 16 (1) ◽  
pp. 325
Author(s):  
Ili Najaa Aimi Mohd Nordin ◽  
Najla Aiman Nazari ◽  
Muhammad Rusydi Muhammad Razif ◽  
Nurulaqilla Khamis ◽  
Noraishikin Zulkarnain ◽  
...  
Keyword(s):  
Signal Detection ◽  
Mobile Phone ◽  
Detection System ◽  
System Optimization ◽  
Dipole Antenna ◽  
Alert System ◽  
Educational Purpose ◽  
Restricted Area ◽  
Rf Signal ◽  
Higher Sensitivity

<p>This paper presents study on optimizing RF signal detection and alert system for restricted area. Nowadays, mobile phone utilization is very common among youngsters. Despite of being very useful for educational purpose, it turns into a noteworthy issue while being smuggled into restricted area, such as examination hall and used as a cheating tool. To overcome this problem, an advancement on the detection and alert system of active mobile phone was proposed by implementing RF signal detection system optimization using multi-band dipole antenna and alert system utilizing LED and camera. The system demonstrated higher sensitivity to 3G signal followed by GSM and Wi-Fi with the decrease in voltage value across the LED when distinguishing 3G, GSM and Wi-Fi signal with the estimation of 2.316 V, 1.162 V and 1.054 V respectively. The alert system was improved by activating LED and camera instead of buzzer in displaying the region of the active mobile phone. The camera was able to effectively capture the conceivable cheating area when active mobile phone is present. The images of the potential cheating region can be recovered from the computer. This framework can assist the invigilators with being cautioned to the potential regions of cheating using mobile phone.</p>

scholarly journals Design of weak magnetic signal detection system for residual stress detection

2021 ◽  
Vol 632 ◽  
pp. 042064
Author(s):  
Yanyu Wei ◽  
Dixiang Chen ◽  
Weihong Zhou ◽  
Lihui Liu
Keyword(s):  
Residual Stress ◽  
Signal Detection ◽  
Detection System ◽  
Stress Detection ◽  
Magnetic Signal

scholarly journals A novel ultrasonic Doppler fetal heart rate detection system using windowed digital demodulation

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ming Dai ◽  
Kai Zhan ◽  
Rongchao Peng ◽  
Hui Luo ◽  
Jinfeng Xu ◽  
...  
Keyword(s):  
Heart Rate ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Detection System ◽  
Digital Demodulation

Psychological behavior signal analysis for sports person during their activity session

2021 ◽  
pp. 1-10
Author(s):  
Guochun Liu ◽  
Jian Zheng ◽  
Lin Jiang ◽  
Karthik Chandran ◽  
Beenu Mago
Keyword(s):  
Heart Rate ◽  
Signal Detection ◽  
Signal Analysis ◽  
Well Being ◽  
Machine Learning Algorithms ◽  
Psychological Skills ◽  
Social Dimensions ◽  
Useful Knowledge ◽  
Structural Problems ◽  
Psychological Behavior

The signal analysis helps us derive useful knowledge from biological processes to analyze, describe, and understand their origin mechanisms. However, biomedical signals are not immune and have time-consuming statistics. The major challenges of signal analysis of sportsperson are reliability and accuracy. Sports psychology uses psychological skills to discuss the optimum success and well-being of sports athletes, the developmental and social dimensions of the sport and sports facilities, and structural problems. The signal detection tool is used to detect the best combination of long-term practice predictors for active, sedentary adults’ signal. This paper proposed the wearable assisted signal detection method (WASDM) to find the sportspersons’ behavior signal analysis. This method performs an IoT based heart rate monitoring using a wearable device named intelligent bracelet mounted on the sportsperson to track the variations in his/her human heart rate. The wearable signal detector method analysis the heart rate abnormality and predicts health status, followed by an alarm to the physician and the respective personnel while performing activity session. In this research, various machine learning algorithms have been tried to perform signal analysis and prediction and compared their results to suggest the best in this application scenario. Finally, the experimental analysis shows better outcomes for the sportspersons’ psychological behavior signal analysis than the conventional methods.

Acousto‐optic signal detection system

1986 ◽  
Vol 79 (2) ◽  
pp. 586-586
Author(s):  
Otis G. Zehl ◽  
Michael G. Price ◽  
Edward H. David ◽  
Jerome C. Kremen
Keyword(s):  
Signal Detection ◽  
Detection System

An Optical Fiber Sensing Network Supporting Weak Optical Signal Detection and a Neural Network Method for Information Collection

2021 ◽  
Vol 16 (2) ◽  
pp. 188-195
Author(s):  
Keyuan Liu ◽  
Haibin Li ◽  
Ya Wang
Keyword(s):  
Neural Network ◽  
Optical Fiber ◽  
Signal Detection ◽  
Mobile Phone ◽  
Optical Power ◽  
Information Collection ◽  
Identification System ◽  
Power Meter ◽  
Fiber Sensing ◽  
Optical Fiber Sensing

The weak direct current (DC) signals detected and converted by the photodetector are output to the mobile phone by voltage/frequency switching, and the signals are processed by the mobile phone APP and audio conversion module. The photodetector is equipped with the automatic switching function to design an optical power meter and detect weak signals. Meanwhile, the optical cable identification system is analyzed and combined with the optical power meter to generate an optical fiber sensing network to improve the weak alternating current (AC) signal detection. This network needs data fusion in sensor nodes’ data collection. The cluster routing protocol is introduced and combined with the back propagation neural network (BPNN) to propose a method suitable for this photoelectric transmission and improve the information fusion and accuracy. In the experiment, the optical power meter is output in gears first, and the output waveforms are normal. The photodiode’s optical power is adjusted to obtain different frequencies on the oscilloscope. In the proposed optical fiber sensing network, weak AC signals are amplified significantly, and different optical fiber lines can be distinguished in the optical cables. The proposed information collection method can reduce network communication and node energy consumption.

A 0.5V PPG-based Heart Rate and Variability Detection System

2018 ◽  
Author(s):  
Wala Saadeh ◽  
Shah Zaib Aslam ◽  
Aminah Hina ◽  
Fakeha Asghar
Keyword(s):  
Heart Rate ◽  
Detection System

Liquid Metal Ink Enabled Rapid Prototyping of Electrochemical Sensor for Wireless Glucose Detection on the Platform of Mobile Phone

2015 ◽  
Vol 9 (4) ◽  
Author(s):  
Liting Yi ◽  
Jingjing Li ◽  
Cangran Guo ◽  
Lei Li ◽  
Jing Liu
Keyword(s):  
Liquid Metal ◽  
Mobile Phone ◽  
Detection System ◽  
Point Of Care ◽  
Low Cost ◽  
Smart Phone ◽  
Disease Diagnosis ◽  
Glucose Detection ◽  
Sensor Material ◽  
Liquid Metal Ink

Pervasive detection of blood glucose is rather critical for the real-time disease diagnosis which would provide valuable guidance for treatment planning. Here, we established a health care platform for this purpose through incorporating the glucose detection with liquid metal printed sensor and the smart phone monitoring system together. The liquid metal ink composed of bismuth indium stannic (BIS) alloy was identified as an appropriate sensor material to be quickly written or printed on polyvinyl chloride (PVC) substrate at around 59 °C to form desired electrodes. It thus eliminated the complicated procedures as usually required in conventional sensor fabrication strategies. The alloy electrodes were characterized via cyclic voltammetry to demonstrate their practical functionality. Further, unlike using the commonly adopted glucometer, a smart phone was developed as the data acquisition and display center to help improve the portability and ubiquitous virtue of the detection system. Glucose solution in different concentrations was assayed via this platform. It was shown that there is a good linear relationship between the concentration and the integral value of the curve recorded by the mobile phone, which confirms the feasibility of the present method. This quantitative point-of-care system has pervasive feature and is expected to be very useful for future low-cost electrochemical detection.

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