Abnormal Pattern Detection In Ppg Signals Using Time Series Analysis

QR Code

Abnormal Pattern Detection In Ppg Signals Using Time Series Analysis

The photoplethysmogram (PPG) signal is a data in continuous real-time series. It depicts the peripheral pulse wave that is produced due to heart activity, respiration, and other physiological effects. The time-series signal contains a lot of information which is difficult to be processed. The abnorm...

Full description

Bibliographic Details
Main Author:	Siti Nur Hidayah, Mazelan
Format:	Undergraduates Project Papers
Language:	English
Published:	2022
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/39894/ http://umpir.ump.edu.my/id/eprint/39894/1/EA18084_Hidayah_ThesisV2%20-%20Hidayah%20Mazelan.pdf

Similar Items

Heart abnormality detection technique using PPG signal
by: Umadi, L.F., et al.
Published: (2016)

Microsleep Predicting Comparison Between LSTM and ANN Based on the Analysis of Time Series EEG Signal
by: Hasan, Md Mahmudul, et al.
Published: (2024)

Multiclass classification of systolic and diastolic peaks on open benchmark PPG signals: Performance evaluation
by: Simon, Noor liza, et al.
Published: (2022)

Improved abnormal detection using self-adaptive social force model for visual surveillance
by: Wan Nur Azhani, W. Samsudin
Published: (2017)

The study of PPG and APG signals for biometric recognition
by: Sidek, Khairul Azami, et al.
Published: (2018)

The study of time domain features of EMG signals for detecting driver’s drowsiness
by: Faradila, Naim, et al.
Published: (2022)

Heart abnormality detection using acceleration plethysmogram signal
by: Hussin, Khalida, et al.
Published: (2018)

Bilinear Time-Frequency Analysis Techniques for Power Quality Signals
by: Abdullah, Abdul Rahim, et al.
Published: (2012)

Spectrogram time-frequency analysis and classification of digital modulation signals
by: Sha'ameri, Ahmad Suri, et al.
Published: (2007)

Feature extraction of power disturbance signal using time frequency analysis
by: Sihab, Norsabrina
Published: (2006)

Time-frequency analysis of power signal : application to substation monitoring and management system
by: Ismail, Kamarul Afizam, et al.
Published: (2005)

Human activity recognition based on wrist PPG via the ensemble method
by: Almanifi, Omair Rashed Abdulwareth, et al.
Published: (2022)

Pattern recognition of partial discharge signal in gas insulated switchgear apparatus using visual and cluster analysis
by: Tan, Kay Huan, et al.
Published: (2002)

Pattern layout optimization for low series resistance and capacitance in gan schottky barrier diodes
by: Ahmad Syahiman, Mohd Shah
Published: (2012)

Biometric recognition for twins inconsideration of age variability using PPG signals
by: Mohammed Nadzri, Nur Izzati, et al.
Published: (2018)

Evaluation of Different Time Domain Peak Models using Extreme Learning Machine‐Based Peak Detection for EEG Signal
by: Asrul, Adam, et al.
Published: (2016)

Offline LabVIEW-Based EEG Signals Analysis to Detect Vehicle Driver Microsleep
by: Norizam, Sulaiman, et al.
Published: (2020)

Forecasting electricity consumption using the second-order fuzzy time series
by: Tay, K. G., et al.
Published: (2020)

System identification of an interacting series process for real-time model predictive control
by: M.N., Karsiti, et al.
Published: (2009)

A prediction of oil demand in Malaysia using time series modeling approach
by: N., Saad, et al.
Published: (2008)

Mechatronics book series system design and signal processing (V1)
Published: (2011)

Feature extraction of GNSS signals based on signal processing techniques for land deformation detection
by: Norliana, Khamisan, et al.
Published: (2021)

Analysis of EEG signals using mathematical morphology decomposition and kurtosis: Detection of epileptiforms
by: Qayoom, Abdul, et al.
Published: (2014)

Application of acoustic sensing and signal processing for PD detection in GIS
by: Haque, E., et al.
Published: (1997)

Channel selection for common spatial pattern Based on energy calculation of motor imagery EEG signal
by: Hilman, Fauzi, et al.
Published: (2017)

Time-Frequency Analysis of FSK Digital Modulation Signals using the Smooth Lag-Windowed Wigner-Ville Distribution.
by: Sha'ameri, Ahmad Zuri
Published: (2003)

Early Detection of Cardiovascular Disease Using Photoplethysmography (PPG) Signal Analysis
by: Padmavathi, Y., et al.
Published: (2024)

The Classification of Wink-Based EEG Signals: The Identification of Significant Time-Domain Features
by: Jothi Letchumy, Mahendra Kumar, et al.
Published: (2021)

Time and Frequency Domain Features of EMG Signal during Islamic Prayer (Salat)
by: Rabbi, M. F., et al.
Published: (2017)

Real time face detection system
by: Amy Safrina, Mohd Ali
Published: (2009)

Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability
by: Abd Halim, Noor Hafizah Azlin, et al.
Published: (2019)

On line fault detection for transmission line using power system stabilizer signals
by: Ali Falifla, Hamza AbuBeker
Published: (2007)

Classification Of Abnormal Cervical Cells Using Hierarchical Multilayered Perceptron Network.
by: Mat Isa, Nor Ashidi, et al.
Published: (2003)

An Improved Artificial Dendrite Cell Algorithm for Abnormal Signal Detection
by: Mohamad Mohsin, Mohamad Farhan, et al.
Published: (2018)

Defect Signal Analysis For Nondestructive Testing Assesment
by: Damhuji, Rifai, et al.
Published: (2016)

Dynamic approach for real-time skin detection
by: Bilal, Sara, et al.
Published: (2012)

Fatigue State Detection Through Multiple Machine Learning Classifiers Using EEG Signal
by: Hasan, Md Mahmudul, et al.
Published: (2023)

A hybrid deep learning model for detecting driver fatigue using electroencephalogram signals
by: Rafiuddin, Abdubrani, et al.
Published: (2024)

Detection of binary data for FSK digital modulation signals using spectrum estimation techniques
by: Sha'ameri, Ahmad Zuri, et al.
Published: (2003)

The Classification of Hallucination: The Identification of Significant Time-Domain EEG Signals
by: Chin, Hau Lim, et al.
Published: (2022)