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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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Identificação

Identificação pessoal

Nome completo
Bruno Rocha

Nomes de citação

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

Identificadores de autor

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

Endereços de correio eletrónico

  • bmrocha@dei.uc.pt (Profissional)

Websites

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Inglês Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2)
Espanhol; Castelhano Utilizador proficiente (C1) Utilizador proficiente (C2) Utilizador independente (B2) Utilizador proficiente (C2)
Português (Idioma materno)
Formação
Grau Classificação
2011
Concluído
 Master in Sound and Music Computing (Mestrado)
Universitat Pompeu Fabra, Espanha
"Genre Classification based on Predominant Melodic Pitch Contours" (TESE/DISSERTAÇÃO)
 16/20
2008
Concluído
 Música, variante em Produção e Tecnologias da Música (Licenciatura)
Instituto Politécnico do Porto Escola Superior de Música e Artes do Espetáculo, Portugal
"n/a" (TESE/DISSERTAÇÃO)
 13/20
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2015/05/05 - 2017/11/05 Investigador (Investigação) Universidade de Coimbra, Portugal
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2013/12/19 - 2014/05/31 Investigador (Investigação) Universidade de Coimbra, Portugal
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2013/04/02 - 2013/11/15 Investigador (Investigação) Universidade de Coimbra, Portugal
Universidade de Coimbra Centro de Informatica e Sistemas, Portugal
2012/05/07 - 2013/04/01 Investigador Contratado (Investigação) Universiteit van Amsterdam, Países Baixos
Universiteit van Amsterdam Institute for Logic Language and Computation, Países Baixos
Projetos

Bolsa

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

Outro

Designação Financiadores
2012/05/07 - 2013/04/01 Music Similarity
PP-2013-10
Investigador
Universiteit van Amsterdam Institute for Logic Language and Computation, Países Baixos
Concluído
Produções

Publicações

Artigo em conferência
  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.". Trabalho apresentado em EMBC, 2021.
    10.1109/embc46164.2021.9629961
  3. "Influence of Event Duration on Automatic Wheeze Classification". Milão, 2021.
    Publicado • 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.
    Publicado • 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.". Trabalho apresentado em 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". Trabalho apresentado em Sound and Music Computing Conference, Estocolmo, 2013.
    Publicado
  14. Justin Salamon; Bruno Rocha; Emilia Gomez. "Musical genre classification using melody features extracted from polyphonic music signals". 2012.
    10.1109/icassp.2012.6287822
Artigo em revista
  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.
    Publicado • 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.
    Acesso aberto • Publicado • 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
Capítulo de livro
  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
Pré-impressão
  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
Relatório
  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
Resumo em conferência
  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
Tese / Dissertação
  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
Atividades

Entrevista (jornal / revista)

Descrição da atividade Jornal / Forum
2020/01/21 Entrevista para a Fundação Francisco Manuel dos Santos Blog GPS
Distinções

Outra distinção

2017 Student Paper Travel Grant
International Federation for Medical and Biological Engineering, Reino Unido
2013 Best Musical Production
Nederlands Instituut voor Beeld en Geluid, Países Baixos
2008 Vencedor do Concurso de Mistura de Som
Audio Engineering Society, Estados Unidos