首页|University of Salento Researcher Broadens Understanding of Machine Learning (Mac hine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiog raphic Signals: An Efficient Edge Computing Solution Suitable for Wearable Devic es)
University of Salento Researcher Broadens Understanding of Machine Learning (Mac hine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiog raphic Signals: An Efficient Edge Computing Solution Suitable for Wearable Devic es)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news originating from Lecce, Italy, by NewsRx corr espondents, research stated, “The phonocardiogram (PCG) can be used as an afford able way to monitor heart conditions. This study proposes the training and testi ng of several classifiers based on SVMs (support vector machines), k-NN (k-Neare st Neighbor), and NNs (neural networks) to perform binary (“Normal”/”Pathologic” ) and multiclass (“Normal”, “CAD” (coronary artery disease), “MVP” (mitral valve prolapse), and “Benign” (benign murmurs)) classification of PCG signals, withou t heart sound segmentation algorithms.” Funders for this research include Italian Ministry of Health; “sistema Di Monito raggio Ed Analisi Basato Su Intelligenza Artificiale Per Pazienti Affetti Da Sco mpenso Cardiaco Cronico Con Dispositivi Medici Miniinvasivi E Indossabili Evolut i-smart Care”.
University of SalentoLecceItalyEur opeAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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