Welcome to the Biomedical Signal Processing Research Lab

• 1 Oct  2025 PhD student Weitao Tang has received the NSF-EMBS-Google Sponsored Young Professional NextGen Scholar Recognition and will present his research at IEEE BHI 2025. Congratulations, Weitao!
• 1 Sep 2025 Congratulations to Abdul Jabbar on the acceptance of his first PhD paper in Computers in Biology and Medicine (Q1, Impact Factor 6.3). This marks an exciting milestone in his research journey on AI in healthcare.
• 1 Jul 2025  For many new mums, breastfeeding raises countless questions, especially about milk supply and whether the baby is getting enough. For Faezeh, that uncertainty became the inspiration for Infafeed—a breakthrough AI-powered device that measures how much milk a baby drinks during breastfeeding.  Read the article in The Australian here https://lnkd.in/gNKw_fC8
• 5  Aug 2024 Faezeh Marzbanrad received the Dean’s Award for Research Excellence by an Early Career Researcher.
• 28 Jun 2024  Faezeh Marzbanrad received the Women in AI Asia Pacific Award 2024 for Research Excellence in Health.
• 15 May 2024 Our paper, "NeoSSNet: Real-time Neonatal Chest Sound Separation using Deep Learning," has just been published in the IEEE Open Journal of Engineering in Medicine and Biology. This marks a significant milestone as it is the first journal paper by my PhD student, Yang Yi Poh. Congratulations, Yang, on this remarkable achievement!
• 15 Apr 2024  We welcome Hosna Nasiriyan Rad, who have just started their PhD, working on AI-powered monitoring system to automatically assess neonatal feeding and digestive health.
• 28 Feb 2024 We welcome Abdul Jabbar and WeitaoTang, who have recently commenced their PhDs focusing on "Heart Murmur Detection from Phonocardiogram Recordings" and  "AI-Driven Low-Cost Methods for Automated Assessment of Fetal and Maternal Health".
• 1 Feb 2024  Congratulations to Dr. Ethan Grooby for successfully earning his PhD degree from both Monash and UBC. We extend our best wishes to Ethan for continued success in his academic journey as he embarks on a postdoc at McGill.
• 25  Jul 2023  Faezeh Marzbanrad chairs a panel at EMBC 2023, discussing data sharing role in advancing neonatal healthcare, challenges, success stories, and promising opportunities.
• 1 Jun 2023 Faezeh Marzbanrad has been selected as one of the two finalists  of Women in AI Awards Asia Pacific, in the "AI in Heath" category.
• 21 May 2023  Ethan Grooby, won the first prize at CMBE Society
  CMBEC45 meeting in Vancouver for his paper: Video-Based Face and Facial Landmark Tracking for Neonatal Vital Sign Monitoring
• 17 Feb 2023  We welcome Yang Poh, who has recently commenced his PhD focusing on "Deep Learning Approaches for Blind Source Separation in Biomedical Applications".
• 8 Sep 2022  Our team team won the third prize in international George B. Moody PhysioNet Challenge 2022 in the outcome category! Over 300 entries were submitted by over 60 teams and this was a great achievement. Congratulations to our wonderful team, FYP student Zaria Imran and PhD student Ethan Grooby, post doc Chiranjibi Sitaula and our collaborators from Deakin!
• 21 Jul 2022  Congratulations to our summer research student Samin Haque who received runner-up award for best presentation at The Undergraduate Research Opportunities Program (UROP) Conference at CSIRO. Well Done Samin!
• 10 Jun 2022  Faezeh Marzbanrad received Dean's Award for Honours supervision from Faculty of Engineering.
• 27 May 2022  Congratulations to our PhD student Emma Perkins on receiving 2022 Nancy Millis Bursary from Graduate Women Victoria. Emma was the only female student in Maths and Physics classes in her school in rural Victoria. She is now a biomedical engineer and an advocate for women in engineering. She has been volunteering in various clubs working with female students to reduce the hesitancies for girls to study engineering.
• 28 Apr 2022 Faezeh marzbanrad is awarded Women Leading Tech award, in Education and Research category.
• 17 Mar 2022  In an interview with Times Higher Education, Fae shared her perspective on a few topics related to her academic journey, research and gender diversity in engineering, in Iran and Australia.
• 25 Feb 2022  Our summer research student Gretel Gibson-Bourke received the best 3-minute presentation award and the people's choice award in the faculty-wide summer research program competitions today.
• 1 Feb 2022 Today Herald Sun published an article about our research on developing AI to improve neonatal cardio-respiratory monitoring with digital stethoscopes. our research aims to improve neonatal health, especially for preterm babies and those with cardiac and/or respiratory conditions. It is affordable and less specialised so that it could be used in low resource settings, rural and remote regions through Tele-Health. (More about our research in this field and publications can be found here.)
• 14 Dec 2021 Faezeh Marzbanrad was awarded the 2021 Victoria Fellowship by Veski on behalf of the Victorian Government, for her work on mobile health technologies and foetal health monitoring systems aimed at reducing stillborn births and maternal high mortality rates in rural and remote communities.
• 14 Nov 2021   Congratulations to our PhD student Ethan Grooby, for receiving the second prize in the IEEE Victorian Section Student Paper Competition, for his paper "A New Non-Negative Matrix Co-Factorisation Approach for Noisy Neonatal Chest Sound Separation".
• 30  Apr 2021   BSPL welcomes  Dr Chiranjibi Sitaula who is joining our team as a research fellow.
• 7 Apr 2021    BSPL welcomes Dr Yuxin Zhang, who just joined our team as a postdoctoral research fellow, working on "Fetal Kicks" research funded by NHMRC Ideas grant.
• 26 Feb 2021    congratulations to PhD student Ethan Grooby on receiving 2021 MedTech Actuator Menzies Scholarship. It is well deserved for his outstanding achievements and passion for med-tech innovation for neonatal health.
• 22 Feb 2021     BSPL welcomes Emma Perkins who just started her PhD on detecting driver drowsiness using a hybrid detection scheme.
• 15 Dec 2020    Delighted to receive an NHMRC Ideas grant ($1M) for our research on "soft wearable patches for stillbirth prevention" led by Prof Wenlong Cheng, in collaboration with Prof Jonathan Morris, Dr William Yap, Dr Vin Smith and Prof Euan Wallace. We aim to develop AI-powered soft wearable patches for out-of-hospital fetal monitoring to help prevent stillbirths.
• 27 Nov 2020    PhD student Ethan Grooby received the 2nd best poster prize in Tri-University workshop.

We have a vibrant research team of undergraduate and post graduate students, interns, research assistants and postdoc fellows.

Lab Head:

Dr Faezeh Marzbanrad (Fae) joined Monash University in June 2016, after completing her PhD in Electrical and Electronic Engineering at the University of Melbourne. Her PhD was supported by IPRS and APA scholarships funded by Australian Government. During her PhD she received several awards including the Len Stevens scholarship from University of Melbourne in 2014, student paper award from IEEE Australia council in 2014, and the finalist award of the student paper competition at IEEE Engineering in Medicine and Biology Conference (EMBC 2014) in Chicago, IL, USA. She also received Mortara fellowship in September 2017 and honorable mention for Rosanna Degani Young Investigator Award in both 2015 and 2016, from Computing in Cardiology. In 2021, she was awarded the prestigious Veski Victoria Fellowship by the Victorian Government. She is also the winner of B&T Women Leading Tech Award 2022, in the Education/Research category. In 2022, Fae received the Dean's Award for Honours Supervision. Fae won Women in AI Award Asia Pacific 2024 for Research Excellence  in Health.

Her research interests include medical technology for health equity, biomedical signal processing and machine learning, artificial intelligence in health, affordable medical devices, mobile-health as well as fetal, maternal and neonatal healthcare technologies.

Academic Profile: https://research.monash.edu/en/persons/faezeh-marzbanrad

Research fellows:

1- Dr Duong Nhu (2024 - present)

2- Dr David Vera Anaya (2022- 2024)

3- Dr  Chiranjibi Sitaula (2021 - 2023)

4- Dr Yuxin Zhang (2021)

5- Dr Fatemeh Babaeian (2020 - 2021)

6- Dr Jinyuan (Sam) He (2020)

PhD students:

PhD Students under Dr Marzbanrad's main supervision:

1. Hosna Nasiriyan Rad (2024- present), "AI-Powered Infant Feeding and Digestive Health Monitor"
2. Abdul Jabbar (2024 - present), "Heart Murmur Detection from Phonocardiogram Recordings"
3. WeitaoTang (2024 - present),  "AI-Driven Low-Cost Methods for Automated Assessment of Fetal and Maternal Health"
4. Yang Yi Poh (2023 - present),  "Blind Source Separation for Biomedical
   Signals using Deep Learning Approach"
5. Ethan Grooby (2020 to 2023 - graduated), "Affordable and portable audio-visual system for neonatal health monitoring". (Monash-UBC PhD). Ethan is currently a Postdoctoral fellow at McGill University.

Students Co-supervised by Dr Marzbanrad:

1. Mohammad Ehsanul Alim (2024 - present)
2. Vishal Singh Roha (2023 - present)
3. Unnati Nigam (2021 - present), Monash -IITB PhD student
4. Maggie Ezzat Gaber Gendy ( 2021 - present)
5. Yunzhi Ling (2016 to 2019 - graduated), "A flexible, transparent and multiple stimuli electronic skin consisting of nanopaper and nanocopper for physiological monitoing", Jointly supervised with Prof Wenlong Cheng (Monash Chem Eng).

Masters students:

1- Wenqi Cai (2017), "Automated diagnosis of digital breath sounds".

Undergraduate students (FYP)

50+ FYP students have been working in this research group on various projects, including smart wearable devices for physiological monitoring, drowsiness detection devices, interactive virtual reality-based systems and affordable mobile-health systems for cardiovascular and mental health, etc.

Featured:

• Sasha Jain and Merry Le won the runner-up award at SPARK Night 2017 for their outstanding work: "DriveMate: A drowsiness detection and alert system for drivers".

Research interns:

1. Julie Kiewsky (Jun-Sep 2019), ENSEIRB-MATMECA, France, "Analysis of breath sounds in preterm neonates with respiratory distress syndrome".
2. Davood Fattahi (Mar-Sep 2019), Shiraz University, Iran, "Analysis and characterisation of chest sounds for cardio-respiratory monitoring of preterm neonates".
3. Mathieu Acchiardi (Jun-Sep 2018), ENSEIRB-MATMECA, France, "Automated assessment of neonatal breath sound".
4. Benjamin Wu (Nov 2017- Feb 2018), summer research intern, Monash University.
   • Benjamin received People's Choice Award at the faculty-wide competition, for his outstanding work and presentation: "Touching the Sound: Sensory Substitution Rings for the Hearing Impaired".
5. Negin Yaghmaei (Jul-Sep 2017), Sharif University of Technology, Iran, "Automated Quality Assessment of Physiological Signals".
6. Matthieu Da Silva Filarder (Feb-Jul 2017), ENSEIRB-MATMECA, France, "Detecting Atrial Fibrillation from a Short Single Lead ECG Recording".

Open PhD positions:

I am looking for high calibre engineering students to join our team. Applicants must meet the university’s academic and English language requirements to apply for the PhD program. If eligible and interested, you are encouraged to complete the Expression of Interest(EOI) form.

Recent Publications

2024

Sitaula, C, Shahi, TB, Marzbanrad, F & Aryal, J 2024, 'Recent advances in scene image representation and classification', Multimedia Tools and Applications, vol. 83, pp. 9251–9278. https://doi.org/10.1007/s11042-023-15005-9

2023

Grooby, E, Sitaula, C, Chang Kwok, T, Sharkey, D, Marzbanrad, F & Malhotra, A 2023, 'Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring: part 1 wearable technology', Pediatric Research, vol. 93, no. 2, pp. 413–425. https://doi.org/10.1038/s41390-022-02416-x

Sitaula, C, Grooby, E, Kwok, TC, Sharkey, D, Marzbanrad, F & Malhotra, A 2023, 'Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring. Part 2: artificial intelligence', Pediatric Research, vol. 93, pp. 426–436. https://doi.org/10.1038/s41390-022-02417-w

Alskafi, FA, Khandoker, AH, Marzbanrad, F & Jelinek, HF 2023, Brain-Heart Interactions Modulate EEG Activity During Elicited Emotional States. in Computing in Cardiology, CinC 2023. Computing in Cardiology, IEEE, Institute of Electrical and Electronics Engineers, 50th Computing in Cardiology, CinC 2023, Atlanta, United States of America, 1/10/23. https://doi.org/10.22489/CinC.2023.241

Perkins, E, Sitaula, C, Burke, M & Marzbanrad, F 2023, 'Challenges of driver drowsiness prediction: the remaining steps to implementation', IEEE Transactions on Intelligent Vehicles, vol. 8, no. 2, pp. 1319-1338. https://doi.org/10.1109/TIV.2022.3224690

Priyadarshi, A, Tracy, M, Kothari, P, Sitaula, C, Hinder, M, Marzbanrad, F, Morakeas, S, Trivedi, A, Badawi, N & Rogerson, S 2023, 'Comparison of simultaneous auscultation and ultrasound for clinical assessment of bowel peristalsis in neonates', Frontiers in Pediatrics, vol. 11, 1173332. https://doi.org/10.3389/fped.2023.1173332

Zamani, MA, Grooby, E, Lacey, J, Malhotra, A & Marzbanrad, F 2023, Detecting Patent Ductus Arteriosus in Neonatal Phonocardiograms. in Computing in Cardiology, CinC 2023. Computing in Cardiology, IEEE, Institute of Electrical and Electronics Engineers, 50th Computing in Cardiology, CinC 2023, Atlanta, United States of America, 1/10/23. https://doi.org/10.22489/CinC.2023.445

Alskafi, FA, Khandoker, AH, Marzbanrad, F & Jelinek, HF 2023, EEG-based emotion recognition using sub-band time-delay correlations. in B Ahmed & J Seo (eds), 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2023). IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 2424-2427, International Conference of the IEEE Engineering in Medicine and Biology Society 2023, Sydney, New South Wales, Australia, 24/07/23. https://doi.org/10.1109/EMBC40787.2023.10340014

Burne, L, Sitaula, C, Priyadarshi, A, Tracy, M, Kavehei, O, Hinder, M, Withana, A, McEwan, A & Marzbanrad, F 2023, 'Ensemble approach on deep and handcrafted features for neonatal bowel sound detection', IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 6, pp. 2603-2613. https://doi.org/10.1109/JBHI.2022.3217559

Perkins, E, Sitaula, C, Burke, M, Manousakis, J, Anderson, C & Marzbanrad, F 2023, 'Investigating Physiological and Behavioral Sensing Modalities Toward Drowsiness Detection', IEEE Sensors Journal, vol. 23, no. 23, pp. 29513-29524. https://doi.org/10.1109/JSEN.2023.3326434

Grooby, E, Sitaula, C, Ahani, S, Holsti, L, Malhotra, A, Dumont, GA & Marzbanrad, F 2023, Neonatal face and facial landmark detection from video recordings. in 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, Institute of Electrical and Electronics Engineers, pp. 1-5, International Conference of the IEEE Engineering in Medicine and Biology Society 2023, Sydney, New South Wales, Australia, 24/07/23. https://doi.org/10.1109/EMBC40787.2023.10340960

Grooby, E, Sitaula, C, Fattahi, D, Sameni, R, Tan, K, Zhou, L, King, A, Ramanathan, A, Malhotra, A, Dumont, G & Marzbanrad, F 2023, 'Noisy neonatal chest sound separation for high-quality heart and lung sounds', IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 6, pp. 2635-2646. https://doi.org/10.1109/JBHI.2022.3215995

2022

Fattahi, D, Sameni, R, Grooby, E, Tan, K, Zhou, L, King, A, Ramanathan, A, Malhotra, A & Marzbanrad, F 2022, 'A Blind Filtering Framework for Noisy Neonatal Chest Sounds', IEEE Access, vol. 10, pp. 50715-50727. https://doi.org/10.1109/ACCESS.2022.3170052

Imran, Z, Grooby, E, Malgi, VV, Sitaula, C, Aryal, S & Marzbanrad, F 2022, A fusion of handcrafted feature-based and deep learning classifiers for heart murmur detection. in G Clifford, M Reyna, H Taylor Jr., M Wang, O Inan, R Sameni & A Bahrami Rad (eds), 2022 Computing in Cardiology, CinC 2022. Computing in Cardiology, vol. 2022-September, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, Computing in Cardiology Conference 2022, Tampere, Finland, 4/09/22. https://doi.org/10.22489/CinC.2022.310

Gong, S, Yap, LW, Zhang, Y, He, J, Yin, J, Marzbanrad, F, Kaye, DM & Cheng, W 2022, 'A gold nanowire-integrated soft wearable system for dynamic continuous non-invasive cardiac monitoring', Biosensors and Bioelectronics, vol. 205, 114072. https://doi.org/10.1016/j.bios.2022.114072

Rafiei, A, Zahedifar, R, Sitaula, C & Marzbanrad, F 2022, 'Automated detection of major depressive disorder with EEG signals: a time series classification using deep learning', IEEE Access, vol. 10, pp. 73804-73817. https://doi.org/10.1109/ACCESS.2022.3190502

Sitaula, C, He, J, Priyadarshi, A, Tracy, M, Kavehei, O, Hinder, M, Withana, A, McEwan, A & Marzbanrad, F 2022, 'Neonatal bowel sound detection using Convolutional Neural Network and laplace hidden semi-markov Model', IEEE/ACM Transactions on Audio Speech and Language Processing, vol. 30, pp. 1853-1864. https://doi.org/10.1109/TASLP.2022.3178225

Grooby, E, Sitaula, C, Tan, K, Zhou, L, King, A, Ramanathan, A, Malhotra, A, Dumont, GA & Marzbanrad, F 2022, Prediction of neonatal respiratory distress in term babies at birth from digital stethoscope recorded chest sounds. in R Summers (ed.), 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society. Annual International Conference of the IEEE Engineering in Medicine and Biology Society., vol. 2022, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 4996-4999, International Conference of the IEEE Engineering in Medicine and Biology Society 2022, Glasgow, United Kingdom, 11/07/22. https://doi.org/10.1109/EMBC48229.2022.9871449

Sitaula, C, Shahi, TB, Aryal, S & Marzbanrad, F 2022, 'Publisher Correction: Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection (Scientific Reports, (2021), 11, 1, (23914), 10.1038/s41598-021-03287-8)', Scientific Reports, vol. 12, no. 1, 1010. https://doi.org/10.1038/s41598-022-05240-9

Grooby, E, Sitaula, C, Fattahi, D, Sameni, R, Tan, K, Zhou, L, King, A, Ramanathan, A, Malhotra, A, Dumont, GA & Marzbanrad, F 2022, 'Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications', IEEE Access, vol. 10, pp. 10934-10948. https://doi.org/10.1109/ACCESS.2022.3144355

2021

Grooby, E, He, J, Fattahi, D, Zhou, L, King, A, Ramanathan, A, Malhotra, A, Dumont, GA & Marzbanrad, F 2021, A new Non-negative Matrix Co-Factorisation approach for noisy neonatal chest sound separation. in J Azpiroz & R Lavarello (eds), 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society . Proceedings of Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 5668-5673, International Conference of the IEEE Engineering in Medicine and Biology Society 2021, Online, Mexico, 1/11/21. https://doi.org/10.1109/EMBC46164.2021.9630256

Adami, A, Boostani, R, Marzbanrad, F & Charlton, PH 2021, 'A new framework to estimate Breathing Rate from electrocardiogram, photoplethysmogram, and blood pressure signals', IEEE Access, vol. 9, 9380434, pp. 45832-45844. https://doi.org/10.1109/ACCESS.2021.3066166

Sitaula, C, Shahi, TB, Aryal, S & Marzbanrad, F 2021, 'Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection', Scientific Reports, vol. 11, no. 1, 23914. https://doi.org/10.1038/s41598-021-03287-8

Khandoker, AH, Al-Angari, HM, Marzbanrad, F & Kimura, Y 2021, 'Investigating myocardial performance in normal and sick fetuses by abdominal Doppler signal derived indices', Current Research in Physiology, vol. 4, pp. 29-38. https://doi.org/10.1016/j.crphys.2021.02.002

Kevat, AC, Marzbanrad, F & Roseby, R 2021, 'Making digital auscultation accessible and accurate', Pediatric Pulmonology, vol. 56, no. 2, pp. 352-353. https://doi.org/10.1002/ppul.25210

Grooby, E, He, J, Kiewsky, J, Fattahi, D, Zhou, L, King, A, Ramanathan, A, Malhotra, A, Dumont, GA & Marzbanrad, F 2021, 'Neonatal heart and lung sound quality assessment for robust heart and breathing rate estimation for telehealth applications', IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 12, pp. 4255-4266. https://doi.org/10.1109/JBHI.2020.3047602

2020

Marzbanrad, F, Yaghmaie, N & Jelinek, HF 2020, 'A framework to quantify controlled directed interactions in network physiology applied to cognitive function assessment', Scientific Reports, vol. 10, no. 1, 18505. https://doi.org/10.1038/s41598-020-75466-y

Valderrama-Cuadros, CE, Marzbanrad, F, Hall-Clifford, R, Rohloff, P & Clifford, GD 2020, 'A proxy for detecting IUGR based on gestational age estimation in a Guatemalan rural population', Frontiers in Artificial Intelligence, vol. 3, 56. https://doi.org/10.3389/frai.2020.00056

Valderrama, CE, Ketabi, N, Marzbanrad, F, Rohloff, P & Clifford, GD 2020, 'A review of fetal cardiac monitoring, with a focus on low- And middle-income countries', Physiological Measurement, vol. 41, no. 11, 11TR01. https://doi.org/10.1088/1361-6579/abc4c7

Zhou, L, Marzbanrad, F, Ramanathan, A, Fattahi, D, Pharande, P & Malhotra, A 2020, 'Acoustic analysis of neonatal breath sounds using digital stethoscope technology', Pediatric Pulmonology, vol. 55, no. 3, pp. 624-630. https://doi.org/10.1002/ppul.24633

Ramanathan, A, Marzbanrad, F, Tan, K, Zohra, FT, Acchiardi, M, Roseby, R, Kevat, A & Malhotra, A 2020, 'Assessment of breath sounds at birth using digital stethoscope technology', European Journal of Pediatrics, vol. 179, no. 5, pp. 781-789. https://doi.org/10.1007/s00431-019-03565-8

Valderrama, CE, Marzbanrad, F, Juarez, M, Hall-Clifford, R, Rohloff, P & Clifford, GD 2020, 'Estimating birth weight from observed postnatal weights in a Guatemalan highland community', Physiological Measurement, vol. 41, no. 2, 025008. https://doi.org/10.1088/1361-6579/ab7350

King, A, Blank, D, Bhatia, R, Marzbanrad, F & Malhotra, A 2020, 'Tools to assess lung aeration in neonates with respiratory distress syndrome', Acta Paediatrica, vol. 109, no. 4, pp. 667-678. https://doi.org/10.1111/apa.15028

Katebi, N, Marzbanrad, F, Stroux, L, Valderrama, CE & Clifford, GD 2020, 'Unsupervised hidden semi-Markov model for automatic beat onset detection in 1D Doppler ultrasound', Physiological Measurement, vol. 41, no. 8, 085007. https://doi.org/10.1088/1361-6579/aba006

2019

Valderrama, CE, Stroux, L, Katebi, N, Paljug, E, Hall-Clifford, R, Rohloff, P, Marzbanrad, F & Clifford, GD 2019, 'An open source autocorrelation-based method for fetal heart rate estimation from one-dimensional Doppler ultrasound', Physiological Measurement, vol. 40, no. 2, 025005. https://doi.org/10.1088/1361-6579/ab033d

Ramanathan, A, Zhou, L, Marzbanrad, F, Roseby, R, Tan, K, Kevat, A & Malhotra, A 2019, 'Digital stethoscopes in paediatric medicine', Acta Paediatrica, vol. 108, no. 5, pp. 814-822. https://doi.org/10.1111/apa.14686

Gong, S, Yap, LW, Zhu, B, Zhai, Q, Liu, Y, Lyu, Q, Wang, K, Yang, M, Ling, Y, Lai, DTH, Marzbanrad, F & Cheng, W 2019, 'Local crack-programmed gold nanowire electronic skin tattoos for in-plane multisensor integration', Advanced Materials, vol. 31, no. 41, 1903789. https://doi.org/10.1002/adma.201903789

2018

Marzbanrad, F, Stroux, L & Clifford, GD 2018, 'Cardiotocography and beyond: a review of one-dimensional Doppler ultrasound application in fetal monitoring', Physiological Measurement, vol. 39, no. 8, 08TR01. https://doi.org/10.1088/1361-6579/aad4d1

Yaghmaie, N, Maddah-Ali , MA, Jelinek, HF & Marzbanrad, F 2018, 'Dynamic signal quality index for electrocardiograms', Physiological Measurement, vol. 39, no. 10, 105008. https://doi.org/10.1088/1361-6579/aadf02

Khandoker, A, Marzbanrad, F & Kimura, Y 2018, 'Editorial: Recent advances in doppler signal processing and modeling techniques for fetal monitoring', Frontiers in Physiology, vol. 9, no. JUN, pp. 691. https://doi.org/10.3389/fphys.2018.00691

Marzbanrad, F, Kimura, Y, Palaniswami, M & Khandoker, A 2018, Fetal Heart Rate Variability. in H Jelinek, D Cornforth & AH Khandoker (eds), ECG Time Series Variability Analysis: Engineering and Medicine. CRC Press, Boca Raton FL USA, pp. 355-377.

Valderrama, CE, Martinez, B, Katebi, N, Marzbanrad, F, Hall-Clifford, R, Rohloff, P, Stroux, L, Liu, C & Clifford, GD 2018, Improving the quality of point of care diagnostics with real-time machine learning in low literacy LMIC settings. in R Anderson, L Subramanian & E Zegura (eds), Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, COMPASS 2018: COMPASS '18 ., 3209815, Association for Computing Machinery (ACM), New York NY USA, ACM SIGCAS Conference on Computing and Sustainable Societies 2018, Menlo Park and San Jose, California, United States of America, 20/06/18. https://doi.org/10.1145/3209811.3209815

Maleki, S, Marzbanrad, F, Warner, P & Jelinek, HF 2018, Use of heart rate variability infographies in identification of depression status complementing the Patient Health Questionnaire-9. in S Antani & M Sawan (eds), 2017 IEEE Life Sciences Conference (LSC 2017). IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 133-136, IEEE Life Science Conference 2017, Sydney, New South Wales, Australia, 13/12/17. https://doi.org/10.1109/LSC.2017.8268161

2017

Marzbanrad, F & Clifford, GD 2017, Analyzing fetal and maternal cardiorespiratory interactions during labor. in C Pickett, C Corsi, P Laguna & R MacLeod (eds), 2017 Computing in Cardiology (CinC 2017) . vol. 44, Computing in Cardiology, vol. 44, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, Computing in Cardiology Conference 2017, Rennes, France, 24/09/17. https://doi.org/10.22489/CinC.2017.335-343

Marzbanrad, F, Khandoker, AH, Kimura, Y, Palaniswami, M & Clifford, G 2017, 'Assessment of fetal development using cardiac valve intervals', Frontiers in Physiology, vol. 8, no. MAY, 313. https://doi.org/10.3389/fphys.2017.00313

Allami, R, Stranieri, A, Marzbanrad, F, Balasubramanian, V & Jelinek, HF 2017, Atrial fibrillation analysis for real time patient monitoring. in C Pickett, C Corsi, P Laguna & R MacLeod (eds), 2017 Computing in Cardiology (CinC 2017). vol. 44, Computing in Cardiology, vol. 44, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 1-4, Computing in Cardiology Conference 2017, Rennes, France, 24/09/17. https://doi.org/10.22489/CinC.2017.118-272

Da Silva-Filarder, M & Marzbanrad, F 2017, Combining template-based and feature-based classification to detect atrial fibrillation from a short single lead ECG recording. in C Pickett, C Corsi, P Laguna & R MacLeod (eds), 2017 Computing in Cardiology (CinC 2017). vol. 44, Computing in Cardiology, vol. 44, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 1-4, Computing in Cardiology Conference 2017, Rennes, France, 24/09/17. https://doi.org/10.22489/CinC.2017.346-357

Khandoker, AH, Al-Angari , HM, Marzbanrad, F & Kimura, Y 2017, Investigating fetal myocardial function in heart anomalies by Doppler myocardial performance indices. in EJ Woo, Y Zhang & T Penzel (eds), 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017). IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 2197-2200, International Conference of the IEEE Engineering in Medicine and Biology Society 2017, Jeju Island, Korea, South, 11/07/17. https://doi.org/10.1109/EMBC.2017.8037290

Whitsed, R, Horta, A, Jelinek, HF & Marzbanrad, F 2017, Spatial characterization of hypertension clusters using a rural Australian clinical database. in C Pickett, C Corsi, P Laguna & R MacLeod (eds), 2017 Computing in Cardiology (CinC 2017). vol. 44, Computing in Cardiology, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 1-4, Computing in Cardiology Conference 2017, Rennes, France, 24/09/17. https://doi.org/10.22489/CinC.2017.327-065

Valderrama, CE, Marzbanrad, F, Stroux, L & Clifford, GD 2017, 'Template-based quality assessment of the Doppler Ultrasound signal for fetal monitoring', Frontiers in Physiology, vol. 8, 511. https://doi.org/10.3389/fphys.2017.00511

Marzbanrad, F, Karmakar, CK, Khandoker, AH, Palaniswami, M, Moritani, T & Jelinek, HF 2017, The Influence of Pharmacological Autonomic Blockades on Multi-Scale Measures of Heart Rate Variability. in H Eskola, J Viik, O Väisänen & J Hyttinen (eds), EMBEC & NBC 2017: Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland, June 2017. vol. 65, IFMBE Proceedings, vol. 65, Springer, Singapore, Singapore, pp. 462-465, Joint Conference of the EMBEC and NBC, Tampere, Finland, 11/06/17. https://doi.org/10.1007/978-981-10-5122-7_116

2016

Khandoker, AH, Marzbanrad, F, Voss, A, Schulz, S, Kimura, Y, Endo, M & Palaniswami, M 2016, 'Analysis of maternal-fetal heart rate coupling directions with partial directed coherence', Biomedical Signal Processing and Control, vol. 30, pp. 25-30. https://doi.org/10.1016/j.bspc.2016.06.010

Khandoker, AH, Marzbanrad, F, Kimura, Y, Nuaimi, SA & Palaniswami, M 2016, Assessing the development of fetal myocardial function by a novel Doppler myocardial performance index. in J Principe, J Carmena & J Sanchez (eds), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016) . IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 3753-3756, International Conference of the IEEE Engineering in Medicine and Biology Society 2016, Orlando, Florida, United States of America, 16/08/16. https://doi.org/10.1109/EMBC.2016.7591544

Marzbanrad, F, Khandoker, A, Kimura, Y, Palaniswami, M & Clifford, GD 2016, Estimating fetal gestational age using cardiac valve intervals. in A Murray (ed.), Computing in Cardiology 2016: September 11-14, 2016, Vancouver, Canada [proceedings]. vol. 43, 7868691, IEEE, Institute of Electrical and Electronics Engineers, Vancouver, Canada, pp. 109-112, Computing in Cardiology Conference 2016, Vancouver, British Columbia, Canada, 11/09/16. <http://www.cinc.org/archives/2016/>

Marzbanrad, F, Khandoker, AH, Hambly, BD, Ng, E, Tamayo, M, Lu, Y, Matthews, S, Karmakar, C, Palaniswami, M, Jelinek, HF & Craig, M 2016, 'Methodological comparisons of heart rate variability analysis in patients with type 2 diabetes and angiotensin converting enzyme polymorphism', IEEE Journal of Biomedical and Health Informatics, vol. 20, no. 1, pp. 55-63. https://doi.org/10.1109/JBHI.2015.2480778

Marzbanrad, F, Kimura, Y, Funamoto, K, Oshio, S, Endo, M, Sato, N, Palaniswami, M & Khandoker, AH 2016, 'Model-based estimation of aortic and mitral valves opening and closing timings in developing human fetuses', IEEE Journal of Biomedical and Health Informatics, vol. 20, no. 1, 6926782, pp. 240-248. https://doi.org/10.1109/JBHI.2014.2363452

2015

Marzbanrad, F, Kimura, Y, Endo, M, Palaniswami, M & Khandoker, AH 2015, Classification of doppler ultrasound signal quality for the application of fetal valve motion identification. in A Murray (ed.), Computing in Cardiology 2015. vol. 42, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 365-368, Computing in Cardiology Conference 2015, Nice, France, 6/09/15. https://doi.org/10.1109/CIC.2015.7408662

Marzbanrad, F, Kimura, Y, Palaniswami, M & Khandoker, AH 2015, 'Quantifying the Interactions between maternal and fetal heart rates by transfer entropy', PLoS ONE, vol. 10, no. 12, e0145672. https://doi.org/10.1371/journal.pone.0145672

Marzbanrad, F, Kimura, Y, Endo, M, Palaniswami, M & Khandoker, AH 2015, Transfer entropy analysis of maternal and fetal heart rate coupling. in J Patton (ed.), 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015) . IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 7865-7868, International Conference of the IEEE Engineering in Medicine and Biology Society 2015, Milan, Italy, 25/08/15. https://doi.org/10.1109/EMBC.2015.7320215

2014

Marzbanrad, F, Khandoker, AH, Endo, M, Kimura, Y & Palaniswami, M 2014, A multi-dimensional Hidden Markov Model approach to automated identification of fetal cardiac valve motion. in J Duerk & J Ji (eds), 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 1885-1888, International Conference of the IEEE Engineering in Medicine and Biology Society 2014, Chicago, Illinois, United States of America, 26/08/14. https://doi.org/10.1109/EMBC.2014.6943978

Marzbanrad, F, Kimura, Y, Palaniswami, M & Khandoker, AH 2014, Application of automated fetal valve motion identification to investigate fetal heart anomalies. in C Brenan, M Gray & T Matula (eds), 2014 Healthcare Innovation and POCT. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 243-246, IEEE Healthcare Innovation Point-of-Care Technologies Conference 2014, Seattle, Washington, United States of America, 8/10/14. https://doi.org/10.1109/HIC.2014.7038920

Marzbanrad, F, Kimura, Y, Funamoto, K, Sugibayashi, R, Endo, M, Ito, T, Palaniswami, M & Khandoker, AH 2014, 'Automated estimation of fetal cardiac timing events from doppler ultrasound signal using hybrid models', IEEE Journal of Biomedical and Health Informatics, vol. 18, no. 4, pp. 1169-1177. https://doi.org/10.1109/JBHI.2013.2286155

Marzbanrad, F, Kimura, Y, Endo, M, Palaniswami, M & Khandoker, AH 2014, Automated measurement of fetal isovolumic contraction time from doppler ultrasound signals without using fetal electrocardiography. in A Murray (ed.), Computing in Cardiology 2014. vol. 41, 7043085, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA , pp. 485-488, Computing in Cardiology Conference 2014, Cambridge, Massachusetts, United States of America, 7/09/14. <http://www.cinc.org/archives/2014/pdf/0485.pdf>

Marzbanrad, F, Hambly, B, Ng, E, Tamayo, M, Matthews, S, Karmakar, C, Khandoker, AH, Palaniswami, M & Jelinek, HF 2014, Relationship between heart rate variability and angiotensinogen gene polymorphism in diabetic and control individuals. in J Duerk & J Ji (eds), 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 6683-6686, International Conference of the IEEE Engineering in Medicine and Biology Society 2014, Chicago, Illinois, United States of America, 26/08/14. https://doi.org/10.1109/EMBC.2014.6945161

2013

Marzbanrad, F, Khandoker, AH, Funamoto, K, Sugibayashi, R, Endo, M, Velayo, C, Kimura, Y & Palaniswami, M 2013, Automated Identification of fetal cardiac valve timings. in N Lovell (ed.), 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013): Osaka, Japan, 3 - 7 July 2013. IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 3893-3896, International Conference of the IEEE Engineering in Medicine and Biology Society 2013, Osaka, Japan, 3/07/13. https://doi.org/10.1109/EMBC.2013.6610395

Marzbanrad, F, Kimura, Y, Funamoto, K, Sugibayashi, R, Endo, M, Ito, T, Palaniswami, M & Khandoker, A 2013, Development of fetal cardiac intervals throughout 16 to 41 weeks of gestation. in A Murray (ed.), Computing in Cardiology 2013: September 22-25, 2013, Zaragoza, Spain [proceedings]. vol. 40, IEEE, Institute of Electrical and Electronics Engineers, Vancouver, Canada, pp. 1155-1158, Computing in Cardiology Conference 2013, Zaragoza, Spain, 22/09/13. <http://www.cinc.org/archives/2013/>

Wang, Q, Khandoker, AH, Marzbanrad, F, Funamoto, K, Sugibayashi, R, Endo, M, Kimura, Y & Palaniswami, M 2013, Investigating the beat by beat phase synchronization between maternal and fetal heart rates. in N Lovell (ed.), 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013): Osaka, Japan, 3 - 7 July 2013 [proceedings]. IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 3821-3824, International Conference of the IEEE Engineering in Medicine and Biology Society 2013, Osaka, Japan, 3/07/13. https://doi.org/10.1109/EMBC.2013.6610377

Marzbanrad, F, Jelinek, H, Ng, E, Tamayo, M, Hambly, B, McLachlan, C, Matthews, S, Palaniswami, M & Khandoker, A 2013, The effect of automated preprocessing of RR interval tachogram on discrimination capability of heart rate variability parameters. in A Murray (ed.), Computing in Cardiology 2013: September 22-25, 2013, Zaragoza, Spain [proceedings]. vol. 40, IEEE, Institute of Electrical and Electronics Engineers, Vancouver, Canada, pp. 483-486, Computing in Cardiology Conference 2013, Zaragoza, Spain, 22/09/13. <http://www.cinc.org/archives/2013/>

Some of our codes are publicly available at:

https://bitbucket.org/fmarzbanrad/workspace/repositories/

For any inquiries please contact Dr Faezeh Marzbanrad at:

Faezeh.Marzbanrad@monash.edu

+61 3 9905 1893

Room 225, 14 Alliance Lane, Clayton 3800 VIC

Department of Electrical and Computer Systems Engineering

Monash University

Australia