Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An algorithm to separate breath sounds (BS), blood stream sounds (BSS), and heart sounds (HS) from sound components in the human body (biosignals) is introduced as a pre-process for detecting circulatory disease such as auricular fibrillation (AF), arteriosclerosis and apnea syndrome. Existing methods in the time-frequency model have been proposed to analyze biosignals with microphone sensors to obtain BS, BSS and HS. Hover, these methods have negative points. Thus,  propose band pass filter, 2-ch independent component analysis (ICA) and expectation-maximization (EM) algorithm with Dirichlet distribution to solve these problems. Experimental results show that our method performs better than existing methods.
['Kenji Hashiodani', 'Shinichi Takada', 'Yohei Fukumizu', 'Hironori Yamauchi', 'Yoshimasa Kurumi', 'Tohru Tani']
I am writing a research paper on a idea Robustly separating sound components in human body based on 2-ch ICA and EM algorithm with dirichlet distribution
[{"from": "human", "value": "I am writing a research paper on a idea Robustly separating sound components in human body based on 2-ch ICA and EM algorithm with dirichlet distribution"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: An algorithm to separate breath sounds (BS), blood stream sounds (BSS), and heart sounds (HS) from sound components in the human body (biosignals) is introduced as a pre-process for detecting circulatory disease such as auricular fibrillation (AF), arteriosclerosis and apnea syndrome. Existing methods in the time-frequency model have been proposed to analyze biosignals with microphone sensors to obtain BS, BSS and HS. Hover, these methods have negative points. Thus,  propose band pass filter, 2-ch independent component analysis (ICA) and expectation-maximization (EM) algorithm with Dirichlet distribution to solve these problems. Experimental results show that our method performs better than existing methods."}]