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10.1364/BOE.8.004838 http://scihub22266oqcxt.onion/10.1364/BOE.8.004838 C5695935!5695935!29188085     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=29188085&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Biomed+Opt+Express 2017 ; 8 (11): 4838-54 Nephropedia Template TP {{tp|p=29188085|t=2017. Novel health monitoring method using an RGB camera |pdf=|usr=}}{{29188085}} gab.com Text Novel health monitoring method using an RGB camera JO: Biomed Opt Express http://www.kidney.de/pget.php?&tw=1&pmid=29188085 #FOAvip In this paper we present a novel health monitoring method by estimating the heart rate and respiratory rate using an RGB camera. The heart rate and the respiratory rate are estimated from the photoplethysmography (PPG) and the respiratory motion. The method mainly operates by using the green spectrum of the RGB camera to generate a multivariate PPG signal to perform multivariate de-noising on the video signal to extract the resultant PPG signal. A periodicity based voting scheme (PVS) was used to measure the heart rate and respiratory rate from the estimated PPG signal. We evaluated our proposed method with a state of the art heart rate measuring method for two scenarios using the MAHNOB-HCI database and a self collected naturalistic environment database. The methods were furthermore evaluated for various scenarios at naturalistic environments such as a motion variance session and a skin tone variance session. Our proposed method operated robustly during the experiments and outperformed the state of the art heart rate measuring methods by compensating the effects of the naturalistic environment. Twit Text FOAVip Novel health monitoring method using an RGB camera ????Biomed Opt Express http://www.kidney.de/pget.php?&tw=1&pmid=29188085 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29188085 #FOAvip English Wikipedia <ref>{{Cite pmid|29188085}}</ref> Novel health monitoring method using an RGB camera #MMPMID29188085 Hassan MA; Malik AS; Fofi D; Saad N; Meriaudeau F Biomed Opt Express 2017[Nov]; 8 (11): 4838-54 PMID29188085show ga In this paper we present a novel health monitoring method by estimating the heart rate and respiratory rate using an RGB camera. The heart rate and the respiratory rate are estimated from the photoplethysmography (PPG) and the respiratory motion. The method mainly operates by using the green spectrum of the RGB camera to generate a multivariate PPG signal to perform multivariate de-noising on the video signal to extract the resultant PPG signal. A periodicity based voting scheme (PVS) was used to measure the heart rate and respiratory rate from the estimated PPG signal. We evaluated our proposed method with a state of the art heart rate measuring method for two scenarios using the MAHNOB-HCI database and a self collected naturalistic environment database. The methods were furthermore evaluated for various scenarios at naturalistic environments such as a motion variance session and a skin tone variance session. Our proposed method operated robustly during the experiments and outperformed the state of the art heart rate measuring methods by compensating the effects of the naturalistic environment. äNovel health monitoring method using an RGB camera (epmc).pdf DeepDyve Pubget Overpricing