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![Figure 2.2: Core Bluetooth protocol groups [2].](profile/Omer-Waseem/publication/254624728/figure/fig3/AS:297976628039687@1448054572776/Core-Bluetooth-protocol-groups-2_Q320.jpg)
![Figure 2.1: Cosmanescu A. et al. design block diagram [1].](profile/Omer-Waseem/publication/254624728/figure/fig2/AS:297976628039686@1448054572750/Cosmanescu-A-et-al-design-block-diagram-1_Q320.jpg)
The NIHMS is intended to be a multipurpose health monitoring device with current transducers for measuring photoplethysmography (PPG), electro-oculography (EOG), and temperature. All three of these transducers can provide useful data for diagnosis or experiments and EOG can provide an effective method for HCI. Through the use of Bluetooth technolog...
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... masked due to the resolution. The Fourier Transform of the signal in Figure 5.2 is shown in Figure 5.3 and it illustrates the significant amount of error present in the acquired signal. The peak at 1 Hz is the sine wave itself; whereas, the rest of the signal is essentially noise. This noise seems to be mostly DC noise. Though it seems to overwhelm the signal, the fact that it is mostly DC has reduced effects on the final signal. Reasons for this noise are still unknown but it is suspected that further calibration of the ADC configuration can eliminate it. If that fails, then the same signal can be acquired at multiple ADC channels and added together. If the noise is Gaussian, then with enough additions of the same signal it will cancel itself out to a large degree. Even with the noise the device is able to produce useful data. Figure 5.4 is an actual PPG measurement sampled at the lowest frequency of 37 Hz, and it represents ...
Citations
... Over the years, Bluetooth has become the standard for short-range communication. It is preferred over other forms of short-range wireless transmission methods due to its lower power consumption, lower costs and greater signal stability [11]. In this design, the RN-41 Bluetooth module was used as a communication channel between the system device and the personal computer. ...
In this paper a radio frequency identification and detection (RFID) based library management system was developed that will enhance the use and management of library, the services being rendered can be managed with the help of software and hardware tools. This system use RFID technology to track books information in the library and the number of people that access the library. The device consists majorly of a RFID reader, a Bluetooth module, a microcontroller and the materials to be tracked are tagged with a RFID (a transponder).B The unique IDs are stored in a PC running an application with other information on the materials into a database.B Through these processes, books, library users with their information as well as their tag ID can easily be used for cataloging and user authentication. The device is designed to be mobile so that mixed books on shelves can easily be sorted out as the RFID reader moves across them. A model of the system was built, tested with several data and the result showed satisfactory improvement in the efficiency of the library management system.http://dx.doi.org/10.4314/njt.v33i4.19
In the area of secure authentication, the fusion of Photopleythsmography
(PPG) signals for biometric identification is a novel technique. Researchers sug-gested the use of PPG along with other biometric components for augmenting the
biometric robustness. PPG signals have great potential to serve as biometric
identification appliance and can be easily obtained with low cost. Use of PPG
signals for personnel identification is very appropriate during field operations in day
or night. While building a large scale identification system the feature selection
from PPG is a critical activity. To have the identification system more accurate, the
set of features that deemed to be the most effective attributes are extracted in order
to build robust identification system. Applying Kernel Principal Component anal-ysis (KPCA) an efficient supervised learning method for dimensionality reduction
and feature extraction in this experiment results in precise classification.
In the recent years, automated security systems have become one of the major concerns. Secure and reliable authentication of a person is in great demand. In this paper, we propose the applicability of Photoplethysmograph (PPG) signal for human identification. Fourier series analysis and Semi Discrete Decomposition methods are applied to extract the features that appear to offer excellent discrimination among subjects. The main obstacle while analysing a PPG signal is the presence of noise, contaminated by motion artifact. The proposed method exhibits good identification accuracies not just with the normal PPG signals, but also with the motion artifact PPG signal.
