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Journal of Medical Engineering & Technology Volume 41, 2017 - Issue 4
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Innovation

Utilization of second derivative photoplethysmographic features for myocardial infarction classification

Nurhafizah MahriJabatan Kejuruteraan Elektrik, Elektronik dan Sistem, Fakulti Kejuruteraan dan Alam Bina, Universiti Kebangsaan Malaysia, Bangi, Malaysia; Correspondence[email protected]
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,
Kok Beng GanJabatan Kejuruteraan Elektrik, Elektronik dan Sistem, Fakulti Kejuruteraan dan Alam Bina, Universiti Kebangsaan Malaysia, Bangi, Malaysia; View further author information
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Rusna MeswariJabatan Kesihatan Masyarakat, Pusat Perubatan Universiti Kebangsaan Malaysia, Cheras, MalaysiaView further author information
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Mohd Hasni JaafarJabatan Kesihatan Masyarakat, Pusat Perubatan Universiti Kebangsaan Malaysia, Cheras, MalaysiaView further author information
&
Mohd. Alauddin Mohd. AliJabatan Kejuruteraan Elektrik, Elektronik dan Sistem, Fakulti Kejuruteraan dan Alam Bina, Universiti Kebangsaan Malaysia, Bangi, Malaysia; View further author information
Pages 298-308 | Received 14 Jun 2016, Accepted 20 Feb 2017, Published online: 29 Mar 2017

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Abhishek Chakraborty, Deboleena Sadhukhan & Madhuchhanda Mitra. (2022) An Automated Algorithm to Extract Time Plane Features from the PPG Signal and its Derivatives for Personal Health Monitoring Application. IETE Journal of Research 68:1, pages 379-391.
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Articles from other publishers (12)

Neha, H. K. Sardana, N. Dahiya, N. Dogra, R. Kanawade, Y. P. Sharma & S. Kumar. (2023) Automated myocardial infarction and angina detection using second derivative of photoplethysmography. Physical and Engineering Sciences in Medicine.
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Saad Abdullah, Abdelakram Hafid, Mia Folke, Maria Lindén & Annica Kristoffersson. (2023) PPGFeat: a novel MATLAB toolbox for extracting PPG fiducial points. Frontiers in Bioengineering and Biotechnology 11.
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Neha, H.K. Sardana, R. Kanawade & N. Dogra. (2023) Photoplethysmograph based arrhythmia detection using morphological features. Biomedical Signal Processing and Control 81, pages 104422.
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Saad Abdullah, Abdelakram Hafid, Mia Folke, Maria Lindén & Annica Kristoffersson. (2023) A Novel Fiducial Point Extraction Algorithm to Detect C and D Points from the Acceleration Photoplethysmogram (CnD). Electronics 12:5, pages 1174.
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Zhengling He, Huajun Zhang, Xianxiang Chen, Junshan Shi, Lu Bai, Zhen Fang & Rong Wang. (2022) Hemorrhagic risk prediction in coronary artery disease patients based on photoplethysmography and machine learning. Scientific Reports 12:1.
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Neha, H. K. Sardana, N. Dogra & R. Kanawade. (2022) Dynamic time warping based arrhythmia detection using photoplethysmography signals. Signal, Image and Video Processing 16:7, pages 1925-1933.
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Sumair Aziz, Muhammad Umar Khan, Khushbakht Iqtidar, Sadaqat Ali, Ancuta Nicoleta Remete & Muhammad Arshad Javid. (2022) Pulse plethysmograph signal analysis method for classification of heart diseases using novel local spectral ternary patterns. Expert Systems 39:8.
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Dharmendra Dangi, Amit Bhagat & Dheeraj Kumar Dixit. (2022) Cardiovascular Disease Prediction Among the Malaysian Cohort Participants Using Electrocardiogram. Computers, Materials & Continua 71:1, pages 1111-1132.
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Ashutosh Kumar Dubey, Umesh Gupta & Sonal Jain. (2022) Hyperuricemia Prediction Using Photoplethysmogram and Arteriograph. Computers, Materials & Continua 71:1, pages 287-304.
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Neha, H. K. Sardana, R. Kanwade & S. Tewary. (2021) Arrhythmia detection and classification using ECG and PPG techniques: a review. Physical and Engineering Sciences in Medicine 44:4, pages 1027-1048.
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Sumair Aziz, Muhammad Awais, Muhammad Umar Khan, Khushbakht Iqtidar & Usman Qamar. (2021) Classification of cardiac disorders using 1D local ternary patterns based on pulse plethysmograph signals . Expert Systems 38:3.
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Abhishek Chakraborty, Deboleena Sadhukhan, Saurabh Pal & Madhuchhanda Mitra. (2020) Automated myocardial infarction identification based on interbeat variability analysis of the photoplethysmographic data. Biomedical Signal Processing and Control 57, pages 101747.
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