Concurrency and Computation: Practice and Experience, 2019
A systematic and profound reading of an electrocardiogram (ECG) is needed to identify the differe... more A systematic and profound reading of an electrocardiogram (ECG) is needed to identify the different kinds of cardiac diseases called Arrhythmia. The manual identification of the changes in the ECG pattern over a long period is challenging. This work can be automatized by developing algorithms that run perfectly on a computer or on a smartphone to identify the causes of arrhythmia. The proposed work includes three stages of analysis: (1) the ECG noise suppression, (2) RR and PR intervals extraction from the ECG signal, and the (3) ECG classification. The proposed methodology accurately identified the locations and amplitudes of P, Q, R, S, and T subwaves of the ECG signal using a dedicated wavelet design. Experimental results of the MIT-BIH arrhythmia database records indicate the energy levels of the ECG signal at a decomposition level of 4 and 8 as 3.694e +09 and 7.148e +09 , respectively. These energy levels are used in deciding the wavelet decomposition levels for feature extraction and classification of the ECG signal. A decomposition level of eight is proposed in this work for perfect feature extraction and classification of the ECG signal. An analysis of subband frequencies obtained in the decomposition of the ECG signal is also performed. The proposed methodology gives a sensitivity of 99.58% and positive predictive value of 95.92% in the ECG examination.
In the present scenario, Electrocardiogram (ECG) is an effective non-invasive clinical tool, whic... more In the present scenario, Electrocardiogram (ECG) is an effective non-invasive clinical tool, which reveals the functionality and rhythm of the heart. The non-stationary nature of ECG signal, noise existence, and heartbeat abnormality makes it difficult for clinicians to diagnose arrhythmia. The most of the existing models concentrate only on classification accuracy. In this manuscript, an automated model is introduced that concentrates on arrhythmia type classification using ECG signals, and also focuses on computational complexity and time. After collecting the signals from the MIT-BIH database, the signal transformation and decomposition are performed by Multiscale Local Polynomial Transform (MLPT) and Ensemble Empirical Mode Decomposition (EEMD). The decomposed ECG signals are given to the feature extraction phase for extracting features. The feature extraction phase includes six techniques: standard deviation, zero crossing rate, mean curve length, Hjorth parameters, mean Teager...
JPEG2000 (J2K) to compress the video and also maintains the quality of the video. JPEG2000 (J2K) ... more JPEG2000 (J2K) to compress the video and also maintains the quality of the video. JPEG2000 (J2K) to compress the video on three concepts: storing the video sequence frames to provide quality and spatial resolution scalability, prediction and conditional replenishment of code-blocks. B-frame technique is employed to compare the video. This paper provides considerably better interactivity compared to existing schemes and can adapt immediately to interactive changes in client interests.
International Journal for Research in Applied Science and Engineering Technology, 2021
This paper presents an example of using front desk humanoid officer that is a receptionist at col... more This paper presents an example of using front desk humanoid officer that is a receptionist at college. A Raspberry pi-based face recognition, face mask detection is provided. When this robot used in check in process reduces cost and can be used as a great alternative for human receptionist in this growing pandemic era. This system provides security by avoiding possible unauthorized people entering into college premises and also assist visitors with route map to department.
International Journal for Research in Applied Science and Engineering Technology, 2021
Agriculture seems to be one of the main industries which contributes to the development of a nati... more Agriculture seems to be one of the main industries which contributes to the development of a nation. Agriculture is the backbone of a nation. 70% of the income in India is based on agriculture. In this era of modern technology there have been technological advancements in almost every industry. Generally in the farms a lot of time is consumed for activities such as seed sowing, grass cutting and so on. Agriculture nowadays is facing various issues such as lack of labor, expensive machinery and much more. This proposed system aims to bring down the work for the farmers and hence make it easier for them to handle the current crisis and problems in a better and more efficient manner. The robotic vehicle can be controlled remotely with the help of a remote and all this can be done with the help of a LoRa module in order to control the movements of the robotic vehicle.
International Journal of Advance Research, Ideas and Innovations in Technology, 2019
Nowadays in digital circuits, some important issues like high speed, high throughput, small silic... more Nowadays in digital circuits, some important issues like high speed, high throughput, small silicon area, and low power consumption are being considered by designers. Full adders are important components in applications such as subtraction, counting multiplication, filtering, Digital Signal Processors (DSP) architectures, and microprocessors. so it at interest to design carry look ahead adder because of its high-speed operation and to study the functional behavior and power consumption. in this project, the CLA is implemented using 180nm CMOS technology in cadence virtuoso tool software. Two logics that is static CMOS and adiabatic logic have been analyzed and implemented. Finally, the power consumption is estimated and compared. from the results, power consumption will be found that adiabatic logic consumes low power whereas static CMOS logic offers low delay
Concurrency and Computation: Practice and Experience, 2019
A systematic and profound reading of an electrocardiogram (ECG) is needed to identify the differe... more A systematic and profound reading of an electrocardiogram (ECG) is needed to identify the different kinds of cardiac diseases called Arrhythmia. The manual identification of the changes in the ECG pattern over a long period is challenging. This work can be automatized by developing algorithms that run perfectly on a computer or on a smartphone to identify the causes of arrhythmia. The proposed work includes three stages of analysis: (1) the ECG noise suppression, (2) RR and PR intervals extraction from the ECG signal, and the (3) ECG classification. The proposed methodology accurately identified the locations and amplitudes of P, Q, R, S, and T subwaves of the ECG signal using a dedicated wavelet design. Experimental results of the MIT-BIH arrhythmia database records indicate the energy levels of the ECG signal at a decomposition level of 4 and 8 as 3.694e +09 and 7.148e +09 , respectively. These energy levels are used in deciding the wavelet decomposition levels for feature extraction and classification of the ECG signal. A decomposition level of eight is proposed in this work for perfect feature extraction and classification of the ECG signal. An analysis of subband frequencies obtained in the decomposition of the ECG signal is also performed. The proposed methodology gives a sensitivity of 99.58% and positive predictive value of 95.92% in the ECG examination.
In the present scenario, Electrocardiogram (ECG) is an effective non-invasive clinical tool, whic... more In the present scenario, Electrocardiogram (ECG) is an effective non-invasive clinical tool, which reveals the functionality and rhythm of the heart. The non-stationary nature of ECG signal, noise existence, and heartbeat abnormality makes it difficult for clinicians to diagnose arrhythmia. The most of the existing models concentrate only on classification accuracy. In this manuscript, an automated model is introduced that concentrates on arrhythmia type classification using ECG signals, and also focuses on computational complexity and time. After collecting the signals from the MIT-BIH database, the signal transformation and decomposition are performed by Multiscale Local Polynomial Transform (MLPT) and Ensemble Empirical Mode Decomposition (EEMD). The decomposed ECG signals are given to the feature extraction phase for extracting features. The feature extraction phase includes six techniques: standard deviation, zero crossing rate, mean curve length, Hjorth parameters, mean Teager...
JPEG2000 (J2K) to compress the video and also maintains the quality of the video. JPEG2000 (J2K) ... more JPEG2000 (J2K) to compress the video and also maintains the quality of the video. JPEG2000 (J2K) to compress the video on three concepts: storing the video sequence frames to provide quality and spatial resolution scalability, prediction and conditional replenishment of code-blocks. B-frame technique is employed to compare the video. This paper provides considerably better interactivity compared to existing schemes and can adapt immediately to interactive changes in client interests.
International Journal for Research in Applied Science and Engineering Technology, 2021
This paper presents an example of using front desk humanoid officer that is a receptionist at col... more This paper presents an example of using front desk humanoid officer that is a receptionist at college. A Raspberry pi-based face recognition, face mask detection is provided. When this robot used in check in process reduces cost and can be used as a great alternative for human receptionist in this growing pandemic era. This system provides security by avoiding possible unauthorized people entering into college premises and also assist visitors with route map to department.
International Journal for Research in Applied Science and Engineering Technology, 2021
Agriculture seems to be one of the main industries which contributes to the development of a nati... more Agriculture seems to be one of the main industries which contributes to the development of a nation. Agriculture is the backbone of a nation. 70% of the income in India is based on agriculture. In this era of modern technology there have been technological advancements in almost every industry. Generally in the farms a lot of time is consumed for activities such as seed sowing, grass cutting and so on. Agriculture nowadays is facing various issues such as lack of labor, expensive machinery and much more. This proposed system aims to bring down the work for the farmers and hence make it easier for them to handle the current crisis and problems in a better and more efficient manner. The robotic vehicle can be controlled remotely with the help of a remote and all this can be done with the help of a LoRa module in order to control the movements of the robotic vehicle.
International Journal of Advance Research, Ideas and Innovations in Technology, 2019
Nowadays in digital circuits, some important issues like high speed, high throughput, small silic... more Nowadays in digital circuits, some important issues like high speed, high throughput, small silicon area, and low power consumption are being considered by designers. Full adders are important components in applications such as subtraction, counting multiplication, filtering, Digital Signal Processors (DSP) architectures, and microprocessors. so it at interest to design carry look ahead adder because of its high-speed operation and to study the functional behavior and power consumption. in this project, the CLA is implemented using 180nm CMOS technology in cadence virtuoso tool software. Two logics that is static CMOS and adiabatic logic have been analyzed and implemented. Finally, the power consumption is estimated and compared. from the results, power consumption will be found that adiabatic logic consumes low power whereas static CMOS logic offers low delay
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Papers by Mala Sinnoor