Audio-based Mobile Health Diagnostics

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

PROS: an Efficient Pattern-Driven Compressive Sensing Framework for Low-Power Biopotential-based Wearable with On-chip Intelligence.

Autori: Nhat Pham, Hong Jia, Minh Tran, Tuan Dinh, Nam Bui, Young Kwon, Dong Ma, VP Nguyen, Cecilia Mascolo, Tam Vu.
Pubblicato in: Mobicom 2022, 2022
Editore: ACM

EarGate: Gait-based User Identification with In-ear Microphones

Autori: Ferlini, Andrea; Ma, Dong; Harle, Robert; Mascolo, Cecilia
Pubblicato in: Mobicom 2021, Numero 1, 2021
Editore: ACM
DOI: 10.1145/3447993.3483240

hEARt: Motion-resilient Heart Rate Monitoring with In-ear Microphones

Autori: Butkow, Kayla-Jade; Dang, Ting; Ferlini, Andrea; Ma, Dong; Mascolo, Cecilia
Pubblicato in: IEEE PerCom, Numero 1, 2023
Editore: IEEE
DOI: 10.1109/percom56429.2023.10099317

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 cough, COVID-19 speech, escalation & primates

Autori: Schuller, Björn W.; Batliner, Anton; Bergler, Christian; Mascolo, Cecilia; Han, Jing; Lefter, Iulia; Kaya, Heysem; Amiriparian, Shahin; Baird, Alice; Stappen, Lukas; Ottl, Sandra; Gerczuk, Maurice; Tzirakis, Panagiotis; Brown, Chloë; Chauhan, Jagmohan; Grammenos, Andreas; Hasthanasombat, Apinan; Spathis, Dimitris; Xia, Tong; Cicuta, Pietro; Rothkrantz, Leon J.m.; Zwerts, Joeri A.; Treep, Jelle;
Pubblicato in: INTERSPEECH 2021, 431, Numero 4, 2021
Editore: IEEE
DOI: 10.21437/interspeech.2021-19

Exploring Automatic COVID-19 Diagnosis via Voice and Symptoms from Crowdsourced Data

Autori: Jing Han; Chloë Brown; Jagmohan Chauhan; Andreas Grammenos; Apinan Hasthanasombat; Dimitris Spathis; Tong Xia; Pietro Cicuta; Cecilia Mascolo
Pubblicato in: ICASSP, Numero 1, 2021
Editore: IEEE
DOI: 10.1109/icassp39728.2021.9414576

Improving Feature Generalizability with Multitask Learning in Class Incremental Learning

Autori: Ma, D; Tang, CI; Mascolo, C
Pubblicato in: ICASSP, Numero 1, 2022
Editore: IEEE
DOI: 10.1109/icassp43922.2022.9746862

COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening

Autori: Tong Xia, Dimitris Spathis, Chloe Brown, J Ch, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Erika Bondareva, Ting Dang, Andres Floto, Pietro Cicuta, Cecilia Mascolo
Pubblicato in: Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmmarks, 2022
Editore: Neurips

YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers

Autori: Kwon, YD; Chauhan, J; Mascolo, C
Pubblicato in: IPSN, Numero 1, 2021
Editore: IEEE
DOI: 10.1109/ipsn54338.2022.00030

Exploring Semi-supervised Learning for Audio-based COVID-19 Detection using FixMatch.

Autori: Ting Dang, Thomas Quinnell and Cecilia Mascolo.
Pubblicato in: INTERSPEECH, 2022
Editore: ISCA

A first step towards on-device monitoring of body sounds in the wild

Autori: Shyam A. Tailor, Jagmohan Chauhan, Cecilia Mascolo
Pubblicato in: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, 2020, Pagina/e 708-712, ISBN 9781450380768
Editore: ACM
DOI: 10.1145/3410530.3414440

Earables for Detection of Bruxism: a Feasibility Study

Autori: Erika Bondareva; Elín Rós Hauksdóttir; Cecilia Mascolo
Pubblicato in: UbiComp/ISWC Adjunct, Numero 1, 2021
Editore: ACM
DOI: 10.1145/3460418.3479327

Stress Inference from Abdominal Sounds using Machine Learning.

Autori: Erika Bondareva, Marios Constantinides, Michael Eggleston, Ireneusz Jabłon, Cecilia Mascolo, Zoran Radivojevic, Sanja Scepanovic.
Pubblicato in: Proceedings of the Engineering in Medicine and Biology Conference (EMBC)., 2022
Editore: IEEE

gait-based user identification with in-ear microphones

Autori: Ferlini, Andrea; Ma, Dong; Harle, Robert; Mascolo, Cecilia
Pubblicato in: Proceedings of the 27th Annual International Conference on Mobile Computing and Networking, Numero 1, 2021
Editore: ACM

Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data

Autori: Jing Han, Chloe Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo.
Pubblicato in: International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2021
Editore: IEEE

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data.

Autori: Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo.
Pubblicato in: INTERSPEECH 2021, 2021
Editore: IEEE

FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications

Autori: Young D. Kwon; Jagmohan Chauhan; Cecilia Mascolo
Pubblicato in: Interspeech 2021, Numero 1, 2021
Editore: IEEE
DOI: 10.21437/interspeech.2021-1091

OESense: Employing occlusion effect for in-ear human sensing

Autori: Ma, Dong; Ferlini, A; Mascolo, Cecilia
Pubblicato in: Mobisys 2021, Numero 3, 2021
Editore: ACM
DOI: 10.1145/3458864.3467680

Early Exit Ensembles for Uncertainty Quantification.

Autori: Lorena Qendro, Alexander Campbell, Pietro Lio, Cecilia Mascolo
Pubblicato in: Machine Learning for Health, 2022
Editore: MLR

Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications

Autori: Young D. Kwon, Jagmohan Chauhan, Abhishek Kumar, Pan Hui, Cecilia Mascolo
Pubblicato in: IEEE/ACM SEC, 2021
Editore: ACM

YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers.

Autori: Young Kwon, Jagmohan Chauhan, Cecilia Mascolo.
Pubblicato in: IPSN 2022, 2022
Editore: ACM

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data

Autori: Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
Pubblicato in: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020, Pagina/e 3474-3484, ISBN 9781450379984
Editore: ACM
DOI: 10.1145/3394486.3412865

Segmentation-free Heart Pathology Detection Using Deep Learning

Autori: Bondareva, Erika; Han, Jing; Bradlow, William; Mascolo, Cecilia
Pubblicato in: EMBC, Numero 1, 2021
Editore: IEEE
DOI: 10.17863/cam.73932

Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study

Autori: Jing Han; Marco Montagna; Andreas Grammenos; Tong Xia; Erika Bondareva; Chloë Siegele-Brown; Jagmohan Chauhan; Ting Dang; Dimitris Spathis; R Andres Floto; Pietro Cicuta; Cecilia Mascolo
Pubblicato in: Journal of Medical Internet Research, Vol 25, p e44804 (2023), Numero 1, 2023, ISSN 1438-8871
Editore: Journal of medical Internet Research
DOI: 10.2196/44804

Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues

Autori: Xia, Tong; Han, Jing; Mascolo, Cecilia
Pubblicato in: Society for Experimental Biology and Medicine, Numero 1, 2023, ISSN 1535-3702
Editore: Society for Experimental Biology and Medicine
DOI: 10.1177/15353702221115428

Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation

Autori: Dang, Ting; Han, Jing; Xia, Tong; Spathis, Dimitris; Bondareva, Erika; Siegele-Brown, Chloë; Chauhan, Jagmohan; Grammenos, Andreas; Hasthanasombat, Apinan; Floto, R Andres; Cicuta, Pietro; Mascolo, Cecilia
Pubblicato in: Journal of Medical Internet Research, Vol 24, Iss 6, p e37004 (2022), Numero 1, 2022, ISSN 1438-8871
Editore: Journal of medical Internet Research
DOI: 10.2196/37004

Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Disease Progression Prediction via Sequential Deep Learning: Model Development and Validation.

Autori: Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloe Brown, Jagmohan Chauhan, Apinan Hasthanasombat, Andreas Grammenos, Andres Floto, Pietro Cicuta, Cecilia Mascolo.
Pubblicato in: Journal of Medical Internet Research (JMIR), 2022, ISSN 1438-8871
Editore: Journal of medical Internet Research

Sounds of COVID-19: exploring realistic performance of audio-based digital testing

Autori: Han, Jing; Xia, Tong; Spathis, Dimitris; Bondareva, Erika; Brown, Chloë; Chauhan, Jagmohan; Dang, Ting; Grammenos, Andreas; Hasthanasombat, Apinan; Floto, Andres; Cicuta, Pietro; Mascolo, Cecilia
Pubblicato in: npj Digital Medicine, Vol 5, Iss 1, Pp 1-9 (2022), Numero 1, 2022, ISSN 2398-6352
Editore: Springer Nature in partnership with the Scripps Research Translational Institute
DOI: 10.1038/s41746-021-00553-x

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