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Bruno Rocha is a PhD student at the Department of Informatics Engineering of the University of Coimbra and member of the Adaptive Computation research group at the Centre for Informatics and Systems of the University of Coimbra (CISUC). His main research interests are in the areas of respiratory sound analysis and music computing. Since completing his bachelor degree in Music Production and Technology in 2008 and his master degree in Sound and Music Computing in 2011, Bruno Rocha has participated in several research projects. In 2012 he was a researcher at the University of Amsterdam, where he devised a structural segmentation algorithm and a timbre similarity measure for electronic dance music. In 2013 and 2014, he was a researcher in two projects at the University of Coimbra where he dealt with music emotion recognition, focusing on the development of novel features stemming from the analysis of melody and rhythm. From 2015 to 2017, Bruno Rocha was a member of the WELCOME project, developing signal processing algorithms for the detection and classification of cough. That project has been followed by WELMO, where he focuses on the analysis of adventitious respiratory sounds. The common research topic in all those projects has been the combination of audio signal processing and applied machine learning. In 2018, he was attributed a doctoral grant by Fundação para a Ciência e a Tecnologia (FCT). Since 2012, Bruno Rocha has published in several conferences and journals of music research and health informatics. Since 2019, Bruno Rocha has collaborated with CINTESIS - Center for Health Technology and Services Research of the University of Porto.
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Identification

Personal identification

Full name
Bruno Rocha

Citation names

  • Rocha, Bruno
  • Bruno M. Rocha
  • Bruno Machado Rocha

Author identifiers

Ciência ID
8B15-C880-5B52
ORCID iD
0000-0003-1643-667X
Google Scholar ID
Dc6qf4YAAAAJ
Scopus Author Id
56604765600

Email addresses

  • bmrocha@dei.uc.pt (Professional)

Websites

Knowledge fields

  • Exact Sciences - Computer and Information Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
Spanish; Castilian Advanced (C1) Proficiency (C2) Upper intermediate (B2) Proficiency (C2)
Portuguese (Mother tongue)
Education
Degree Classification
2011
Concluded
 Master in Sound and Music Computing (Mestrado)
Universitat Pompeu Fabra, Spain
"Genre Classification based on Predominant Melodic Pitch Contours" (THESIS/DISSERTATION)
 16/20
2008
Concluded
 Música, variante em Produção e Tecnologias da Música (Licenciatura)
Instituto Politécnico do Porto Escola Superior de Música e Artes do Espetáculo, Portugal
"n/a" (THESIS/DISSERTATION)
 13/20
Affiliation

Science

Category
Host institution 		Employer
2015/05/05 - 2017/11/05 Researcher (Research) Universidade de Coimbra, Portugal
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2013/12/19 - 2014/05/31 Researcher (Research) Universidade de Coimbra, Portugal
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2013/04/02 - 2013/11/15 Researcher (Research) Universidade de Coimbra, Portugal
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2012/05/07 - 2013/04/01 Contracted Researcher (Research) Universiteit van Amsterdam, Netherlands
Universiteit van Amsterdam Institute for Logic Language and Computation, Netherlands
Projects

Grant

Designation Funders
2018/09/01 - 2022/08/31 Automatic Analysis of Cough and Adventitious Respiratory Sounds
SFRH/BD/135686/2018
PhD Student Fellow
Fundação para a Ciência e a Tecnologia
Ongoing
2019/01/01 - 2022/06/30 WELMO - Wearable Electronics for Effective Lung Monitoring
825572
PhD Student Fellow
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 European Commission
Ongoing
2015/05/05 - 2017/11/05 WELCOME - Wearable Sensing and Smart Cloud Computing for Integrated Care to COPD Patients with Co-morbidities
611223
Research Fellow
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
 European Commission
Concluded
2013/12/19 - 2014/05/31 RECARDI - Rede de Cultura e Arte Digital
QREN 22997
Research Fellow
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Concluded
2013/04/02 - 2013/11/15 MOODetector - A System for Mood-based Classification and Retrieval of Audio Music
102185
Research Fellow
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
Concluded

Other

Designation Funders
2012/05/07 - 2013/04/01 Music Similarity
PP-2013-10
Researcher
Universiteit van Amsterdam Institute for Logic Language and Computation, Netherlands
Concluded
Outputs

Publications

Book chapter
  1. Diogo Pessoa; Bruno Machado Rocha; Paulo de Carvalho; Rui Pedro Paiva. "Automated respiratory sound analysis". 2022.
    10.1016/B978-0-12-823447-1.00003-8
  2. Inéz Frerichs; Zhanqi Zhao; Meng Dai; Fabian Braun; Martin Proença; Michaël Rapin; Josias Wacker; et al. "Respiratory image analysis". 169-212. Elsevier, 2022.
    10.1016/b978-0-12-823447-1.00001-4
Conference abstract
  1. I Frerichs; J Wacker; R Paradiso; V Kilintzis; Bruno Machado Rocha; F Braun; M Rapin; et al. "Wearable lung monitoring device with integrated non-invasive chest imaging and sound recording: a clinical validation study". 2022.
    10.1183/13993003.congress-2022.117
  2. Rocha, Bruno. "Music Emotion Recognition: The Importance of Melodic Features". 2013.
    http://dx.doi.org/10.6084/m9.figshare.1181788
  3. Rocha, Bruno. "Late-break Session on Music Structure Analysis". 2012.
    http://dx.doi.org/10.6084/m9.figshare.1181791
Conference paper
  1. Tiago Fernandes; Bruno Machado Rocha; Diogo Pessoa; Paulo de Carvalho; Rui Pedro Paiva. "Classification of Adventitious Respiratory Sound Events: A Stratified Analysis". 2022.
    10.1109/bhi56158.2022.9926841
  2. Pessoa D; Rocha BM; Cheimariotis GA; Haris K; Strodthoff C; Kaimakamis E; Maglaveras N; et al. "Classification of Electrical Impedance Tomography Data Using Machine Learning.". Paper presented in EMBC, 2021.
    10.1109/embc46164.2021.9629961
  3. "Influence of Event Duration on Automatic Wheeze Classification". Milão, 2021.
    Published • 10.1109/icpr48806.2021.9412226
  4. Rocha, Bruno Machado; Pessoa, Diogo; Cheimariotis, Grigorios-Aris; Kaimakamis, Evangelos; Kotoulas, Serafeim-Chrysovalantis; Tzimou, Myrto; Maglaveras, Nicos; et al. "Detection of squawks in respiratory sounds of mechanically ventilated COVID-19 patients". Guadalajara, 2021.
    Published • 10.1109/embc46164.2021.9630734
  5. Rocha, B.M.; Pessoa, D.; Marques, A.; Carvalho, P.; Paiva, R.P.. "Personalized Detection of Explosive Cough Events in Patients with Pulmonary Disease". 2020.
    10.1109/MELECON48756.2020.9140556
  6. Fernandes, J.T.; Rocha, B.M.; Paiva, R.P.; Cruz, T.J.. "Using Low Cost Embedded Systems for Respiratory Sounds Auscultation". 2018.
    10.1109/ISWCS.2018.8491232
  7. Rocha, Bruno. "A Respiratory Sound Database for the Development of Automated Classification". 2017.
    10.1007/978-981-10-7419-6_6
  8. Rocha, Bruno. "Detection of Cough and Adventitious Respiratory Sounds in Audio Recordings by Internal Sound Analysis". 2017.
    10.1007/978-981-10-7419-6_9
  9. Rocha BM; Mendes L; Couceiro R; Henriques J; Carvalho P; Paiva RP. "Detection of explosive cough events in audio recordings by internal sound analysis.". Paper presented in EMBC, 2017.
    10.1109/embc.2017.8037429
  10. Carvalho, P.; Henriques, J.; Teixeira, C.A.; Couceiro, R.; Rocha, T.; Mendes, L.; Rocha, B.; et al. "Biodata analytics for COPD". 2016.
    10.1109/BHI.2016.7455936
  11. Panteli, M.; Rocha, B.; Bogaards, N.; Honingh, A.. "Development of a rhythm similarity model for electronic dance music". 2014.
  12. Rocha, Bruno. "Dimensional Music Emotion Recognition: Combining Standard and Melodic Audio Features". 2013.
  13. Rocha, Bruno; Aline Honingh; Niels Bogaards. "Segmentation and Timbre Similarity in Electronic Dance Music". Paper presented in Sound and Music Computing Conference, Estocolmo, 2013.
    Published
  14. Justin Salamon; Bruno Rocha; Emilia Gomez. "Musical genre classification using melody features extracted from polyphonic music signals". 2012.
    10.1109/icassp.2012.6287822
Journal article
  1. Diogo Pessoa; Bruno Machado Rocha; Maria Gomes; Guilherme Rodrigues; Georgios Petmezas; Grigorios-Aris Cheimariotis; Nicos Maglaveras; et al. "Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound". Biomedical Signal Processing and Control (2024): https://doi.org/10.1016/j.bspc.2023.105451.
    10.1016/j.bspc.2023.105451
  2. Yunan Wu; Bruno Machado Rocha; Evangelos Kaimakamis; Grigorios-Aris Cheimariotis; Georgios Petmezas; Evangelos Chatzis; Vassilis Kilintzis; et al. "A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters". Expert Systems with Applications (2024): https://doi.org/10.1016/j.eswa.2023.121089.
    10.1016/j.eswa.2023.121089
  3. I Frerichs; R Paradiso; V Kilintzis; B M Rocha; F Braun; M Rapin; L Caldani; et al. "Wearable pulmonary monitoring system with integrated functional lung imaging and chest sound recording: a clinical investigation in healthy subjects". Physiological Measurement (2023): https://doi.org/10.1088/1361-6579/acc82a.
    10.1088/1361-6579/acc82a
  4. Bruno Machado Rocha; Diogo Pessoa; Alda Marques; Paulo de Carvalho; Rui Pedro Paiva. "Automatic Wheeze Segmentation Using Harmonic-Percussive Source Separation and Empirical Mode Decomposition". IEEE Journal of Biomedical and Health Informatics (2023): https://doi.org/10.1109/JBHI.2023.3248265.
    10.1109/JBHI.2023.3248265
  5. Georgios Petmezas; Grigorios-Aris Cheimariotis; Leandros Stefanopoulos; Bruno Rocha; Rui Pedro Paiva; Aggelos K. Katsaggelos; Nicos Maglaveras. "Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function". Sensors 22 3 (2022): 1232-1232. https://doi.org/10.3390/s22031232.
    10.3390/s22031232
  6. K Haris; B Vogt; C Strodthoff; D Pessoa; G-A Cheimariotis; B Rocha; G Petmezas; et al. "Identification and analysis of stable breathing periods in electrical impedance tomography recordings". Physiological Measurement (2021): https://doi.org/10.1088/1361-6579/ac08e5.
    Published • 10.1088/1361-6579/ac08e5
  7. Rocha, Bruno Machado; Pessoa, Diogo; Marques, Alda; Carvalho, Paulo; Paiva, Rui Pedro. "Automatic Classification of Adventitious Respiratory Sounds: A (Un)Solved Problem?". Sensors 21 1 (2020): 57. http://dx.doi.org/10.3390/s21010057.
    Open access • Published • 10.3390/s21010057
  8. Gürkan Yilmaz; Michaël Rapin; Diogo Pessoa; Bruno M. Rocha; Antonio Moreira de Sousa; Roberto Rusconi; Paulo Carvalho; et al. "A Wearable Stethoscope for Long-Term Ambulatory Respiratory Health Monitoring". Sensors (2020): https://doi.org/10.3390/s20185124.
    10.3390/s20185124
  9. Bruno M Rocha; Dimitris Filos; Luís Mendes; Gorkem Serbes; Sezer Ulukaya; Yasemin P Kahya; Nikša Jakovljevic; et al. "An open access database for the evaluation of respiratory sound classification algorithms". Physiological Measurement (2019): https://doi.org/10.1088/1361-6579/ab03ea.
    10.1088/1361-6579/ab03ea
  10. Rocha, Bruno. "A model for rhythm and timbre similarity in electronic dance music". Musicae Scientiae (2016): http://msx.sagepub.com/content/early/2016/06/29/1029864916655596.
    10.1177/1029864916655596
  11. Rocha, Bruno. "Music emotion recognition with standard and melodic audio features". Applied Artificial Intelligence 29 4 (2015): 313-334. http://www.tandfonline.com/doi/abs/10.1080/08839514.2015.1016389.
    10.1080/08839514.2015.1016389
Preprint
  1. Bruno Rocha; Diogo Pessoa; Alda Marques; Paulo Carvalho; Rui Pedro Paiva. "Automatic wheeze segmentation using harmonic-percussive source separation and empirical mode decomposition". 2023. https://doi.org/10.36227/techrxiv.19753570.v2.
    10.36227/techrxiv.19753570.v2
  2. Bruno Rocha; Diogo Pessoa; Alda Marques; Paulo Carvalho; Rui Pedro Paiva. "Automatic wheeze segmentation using harmonic-percussive source separation and empirical mode decomposition". 2022. https://doi.org/10.36227/techrxiv.19753570.v1.
    10.36227/techrxiv.19753570.v1
Report
  1. Rocha, Bruno. 2013. Segmentation and Timbre and Rhythm Similarity in Electronic Dance Music. http://www.illc.uva.nl/Research/Publications/Reports/PP-2013-10.text.pdf.
    http://dx.doi.org/10.6084/m9.figshare.1181798
Thesis / Dissertation
  1. Rocha, Bruno. "Genre Classification based on Predominant Melodic Pitch Contours". 2011. http://mtg.upf.edu/system/files/publications/Rocha-Bruno-Master-thesis-2011.pdf.
    http://dx.doi.org/10.6084/m9.figshare.1181789
Activities

Interview (newspaper / magazine)

Activity description Newspaper / Forum
2020/01/21 Entrevista para a Fundação Francisco Manuel dos Santos Blog GPS
Distinctions

Other distinction

2017 Student Paper Travel Grant
International Federation for Medical and Biological Engineering, United Kingdom
2013 Best Musical Production
Nederlands Instituut voor Beeld en Geluid, Netherlands
2008 Vencedor do Concurso de Mistura de Som
Audio Engineering Society, United States