CastorisCausa

Personal blog and hacks by Raymundo Cassani

Publications

Articles in Refereed Journals

               
2021   B. Jesus, R. Cassani, W. J. McGeown, M. Cecchi, K. C. Fadem, and T. H. Falk, “Multimodal Prediction of Alzheimer’s Disease Severity Level Based on Resting-State EEG and Structural MRI,” Frontiers in Human Neuroscience, vol. 15, p. 700627, Sep. 2021.  
         
2021   L. R. Trambaiolli, R. Cassani, D. M. A. Mehler, and T. H. Falk, “Neurofeedback and the Aging Brain: A Systematic Review of Training Protocols for Dementia and Mild Cognitive Impairment,” Frontiers in Aging Neuroscience, vol. 13, p. 682683, Jun. 2021.  
         
2021   O. Rosanne, I. Albuquerque, R. Cassani, J.-F. Gagnon, S. Tremblay, and T. H. Falk, “Adaptive Filtering for Improved EEG-Based Mental Workload Assessment of Ambulant Users,” Frontiers in Neuroscience, vol. 15, p. 611962, Apr. 2021.  
         
2020   M. Parent, I. Albuquerque, A. Tiwari, R. Cassani, J. Gagnon, D. Lafond, S. Tremblay, and T. H. Falk, “PASS: A Multimodal Database of Physical Activity and Stress for Mobile Passive Body/Brain-Computer Interface Research,” Frontiers in Neuroscience, vol. 14, p. 542934, Dec. 2020.  
         
2020   I. Albuquerque, A. Tiwari, M. Parent, R. Cassani, J. Gagnon, D. Lafond, S. Tremblay, and T. H. Falk, "WAUC: A Multi-Modal Database for Mental Workload Assessment under Physical Activity," Frontiers in Neuroscience, vol. 14, p. 549524, Dec. 2020.  
         
2020   R. Cassani, M.-A. Moinnereau, L. Ivanescu, O. Rosanne, and T. H. Falk, "Neural interface instrumented virtual reality headsets: Toward next-generation immersive applications," IEEE Systems, Man, and Cybernetics Magazine, vol. 6, no. 3, pp. 20-28, July 2020.     
         
2020   E. M. dos Santos, R. Cassani, T. H. Falk, and F. J. Fraga, “Improved Motor Imagery Brain-computer Interface Performance via Adaptive Modulation Filtering and two-stage Classification,” Biomedical Signal Processing and Control, vol. 57, p. 101812, Mar. 2020.     
         
2019   R. Cassani and T. H. Falk, “Alzheimer’s Disease Diagnosis and Severity Level Detection Based on Electroencephalography Modulation Spectral ‘Patch’ Features,” IEEE Journal of Biomedical and Health Informatics, pp. 1–1, 2019.     
         
2019   R. Cassani, M. Estarellas, R. San-Martin, F. J. Fraga, and T. H. Falk, “Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment,” Disease Markers, vol. 2018, 2018.  
         
2017   R. Cassani, T. H. Falk, F. J. Fraga, M. Cecchi, D. K. Moore, and R. Anghinah, “Towards Automated Electroencephalography-based Alzheimer’s Disease Diagnosis using Portable low-density Devices,” Biomedical Signal Processing and Control, vol. 33, pp. 261–271, Mar.2017.     
         
2014   R. Cassani, T. H. Falk, F. J. Fraga, P. A. M. Kanda, and R. Anghinah, “The Effects of Automated Artifact Removal Algorithms on Electroencephalography-based Alzheimer’s Disease Diagnosis,” Frontiers in Aging Neuroscience, vol. 6, p. 55, 2014.  
         
2014   V. Jacquemet, R. Cassani González, M. Sturmer, B. Dubé, J. Sharestan, A. Vinet, O.Mahid-dine, A. R. LeBlanc, G. Becker, T. Kus, and R. Nadeau, “QT Interval Measurement and Correction in Patients with Atrial Flutter: A pilot study,” Journal of Electrocardiology, vol. 47, pp. 228–235, Mar. 2014.     
         
2013   V. Jacquemet, R. Cassani Gonzalez, B. Dubé, A. Vinet, A. L. Blanc, M. Sturmer, G.Becker, T. Kus, and R. Nadeau, “Relevance of individualized qt interval correction in subjects with large heart rate fluctuations,” Journal of Electrocardiology, vol. 46, no. 4, p. e34,2013.     
         
2012   R. Cassani González, E. B. Engels, B. Dubé, R. Nadeau, A. Vinet, A. R. LeBlanc, M. Sturmer, G. Becker, T. Kus, and V. Jacquemet, “Assessment of the sensitivity of detecting drug-induced QTc changes using subject-specific rate correction,” Journal ofElectrocardiology, vol. 45, pp. 541–545, Nov. 2012.     
         
         

Articles in Conference Proceedings, Abstracts and Posters

               
2021   M. K. S. Lopes, R. Cassani, and T. H. Falk, “On the use of saliency maps and convolutional neural networks for improved Alzheimer’s disease assessment,” Alzheimer’s & Dementia, vol. 17, no. S6, Dec. 2021.  
         
2021   R. Cassani, A. Horai, L. A. Gheorghe, and T. H. Falk, “Predicting Driver Stress Levels with a Sensor-Equipped Steering Wheel and a Quality-Aware Heart Rate Measurement Algorithm,” 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, Nov. 2021, pp. 6822–6825.     
         
2020   R. Cassani, A. Tiwari, I. Posner, B. Afonso, and T. H. Falk, “Initial Investigation into Neurophysiological Correlates of Argentine Tango Flow States: a Case Study,” 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada, Oct. 2020, pp. 3478–3483.     
         
2020   R. Cassani, A. Tiwari, and T. H. Falk, “Optimal filter characterization for photoplethysmography-based pulse rate and pulse power spectrum estimation,” 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, Jul. 2020, pp. 914–917.     
         
2020   L. R. Trambaiolli, R. Cassani, and T. H. Falk, “EEG spectro-temporal amplitude modulation as a measurement of cortical hemodynamics: an EEG-fNIRS study,” 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, Jul. 2020, pp. 3481–3484, 2020.     
         
2020   A. Tiwari, R. Cassani, J.-F. Gagnon, D. Lafond, S. Tremblay, and T. H. Falk, “Movement Artifact-Robust Mental Workload Assessment During Physical Activity Using Multi-Sensor Fusion,” 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada, Oct. 2020, pp. 3471–3477.     
         
2020   A. Tiwari, R. Cassani, J.-F. Gagnon, D. Lafond, S. Tremblay, and T. H. Falk, “Prediction of stress and mental workload during police academy training using ultra-short-term heart rate variability and breathing analysis,” 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, Jul. 2020, pp. 4530–4533.     
         
2019   B Jesus, R. Cassani, M. Cecchi, K. Fadem, W. McGeown, and T. H. Falk, “Exploring predictive models of Alzheimer’s disease severity based on resting state EEG and MRI features,” [poster] Poster Presentations at the 10th Canadian Conference on Dementia (CCD) Québec City, October 3, 2019.  
         
2019   R. Cassani, I. Albuquerque, J. Monteiro, and T. H. Falk, “AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications,” 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Nov. 2019, pp. 1–4, 2019.       
         
2019   R. Cassani, A. Horai, L. Gheorge, T. H. Falk, “Evaluating the Measurement of Driver Heart and Breathing Rates from a Sensor-Equipped Steering Wheel using Spectro-temporal Signal Processing,” 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, Oct. 2019, pp. 2843–2847     
         
2019   R. Cassani and T. H. Falk, “Automated Alzheimer’s Disease Diagnosis using a Low-Density EEG Layout and New Features based on the Power of Modulation Spectral ’Patches’,” 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Bari, Italy, Oct. 2019,, pp. 1259–1263.     
         
2019   A. Tiwari, R. Cassani, S. Narayanan, and T. H. Falk, “A Comparative Study of Stress and Anxiety Estimation in Ecological Settings Using a Smart-shirt and a Smart-bracelet,” 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 2213–2216.     
         
2018   W. McGeown, R. Cassani, T. H. Falk, M. Cecchi, K. Fadem, “Neuroanatomical and Neuropsychological Correlates of Resting State EEG Diagnostic Features in Patients with Alzheimer’s Disease,” [abstract and poster] AAIC, 2019.       
         
2018   L. R. Trambaiolli, R. Cassani, C. E. Biazoli Jr, A. M. Cravo, J. a. R. Sato, and T. H.Falk, “Resting-Awake EEG Amplitude Modulation Can Predict Performance of an fNIRS-Based Neurofeedback Task,” 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, 2018,, 1128-1132.     
         
2018   R. Cassani, M.-A. Moinnereau, and T. H. Falk, “A Neurophysiological Sensor-Equipped Head-Mounted Display for Instrumental QoE Assessment of Immersive Multimedia,” 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX), May 2018. Best paper award.     
         
2018   R. Cassani, S. Narayanan, and T. H. Falk, “Respiration Rate Estimation From Noisy Electrocardiograms Based on Modulation Spectral Analysis,” Proceedings of the 41st Canadian Medical and Biological Engineering Conference, vol.41, 2018.  
         
2017   M. Estarellas, R. Cassani, and T. H. Falk, “Assessment of EEG-based biomarkers of Alzheimer’s disease progression,” [abstract and poster] Mechanisms, Clinical Strategies, and Promising Treatments of Neurodegenerative Diseases. 13th International Conference AD/PDTM Vienna, Austria, March 29 to April 2, 2017: Abstracts, Neurodegenerative Diseases.      
         
2015   R. Cassani and T. H. Falk, “Automated Alzheimer’s Disease Diagnosis Using a Portable 7-Channel Electroencephalography Device,” [abstract] IUPESM World Congress, (Toronto), 2015.     
         
2015   R. Cassani, H. Banville, and T. H. Falk, “MuLES: An Open Source EEG Acquisition and Streaming Server for Quick and Simple Prototyping and Recording,” Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, IUI Companion ’15, (New York, NY, USA), pp. 9–12, ACM, 2015.       
         
2014   R. Cassani and T. H. Falk, “Gaze and BCIs as Gaming Inputs: Opportunities and Open Challenges,” EyePlay Workshop, CHI-PLAY2014, p. 4, 2014.     
         
2014   R. Cassani, T. H. Falk, F. J. Fraga, P. A. Kanda, and R. Anghinah, “Towards automated EEG-Based Alzheimer’s disease diagnosis using relevance vector machines,” 5th ISSNIP-IEEE Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC), pp. 1–6, May 2014.     
         
2013   R. Cassani, J. C. Sanchez, and R. Martinez, “Implementation and evaluation of an adaptive method for reduce the respiration influence on Heart Rate Variability,” Circuits and Systems (LASCAS), 2013 IEEE Fourth Latin American Symposium On, pp. 1–4, IEEE, 2013.     
         
2011   R. Cassani, P. Mejia, J. A. Tavares, J. C. Sanchez, and R. Martinez, “Adaptive filtering for respiration influence reduction on Heart Rate Variability,” Electrical Engineering Computing Science and Automatic Control (CCE), 2011 8th International Conference On,pp. 1–5, IEEE, 2011.     
         
2007   R. Cassani, R. Martinez, and O. Infante, “Data acquisition system SIEVARTWIN (in Spanish),” 30th National Congress of Biomedical Engineering, 2007  
         
         

Book Chapters

               
2021   R. Cassani “Chapter 5: Near-Infrared Spectroscopy (NIRS) and Functional Near-Infrared Spectroscopy (fNIRS),” The Neurotech Primer: A Beginner’s Guide to Everything Neurotechnology, NeuroTechX, 2021.     
         
2018   R. Cassani and T. H. Falk, “Spectrotemporal Modeling of Biomedical Signals: Theoretical Foundation and Applications,” Reference Module in Biomedical Sciences, Elsevier, 2018.     
         
         

Patents

               
2009   Monitor Enterprise, Monitoring System for Energy and Environmental Variables in Data Centers, Author Protection Rights Agency of Mexico (IMPI) Reg. Number 03-2009-0223101706000-01, Cassani González Raymundo and Santoyo Delgado Raúl.    
         
         

Ph.D. Thesis

               
2018   “Towards an Automated Portable Electroencephalography-based System for Alzheimer’s Disease Diagnosis,” INRS, 2018.  
         
         

M.Sc. Thesis

               
2012   “Cancellation of the Respiration Influence on the Heart Rate Variability signal by using Adaptive Filtering (in Spanish),” SEPI, ESIME Culhuacan, IPN, 2012.