PMID | Title | Journal | Publication Year | Author | View in RVdb |
---|---|---|---|---|---|
15049351 | Countrywide estimates of forest variables using satellite data and field data from the National Forest Inventory. | Ambio | 2003 | Reese H;Nilsson M;Pahen TG;Hagner O;Joyce S;Tingelof U;Egberth M;Olsson H | View More |
17435356 | Physiological effects of Shinrin-yoku (taking in the atmosphere of the forest) in an old-growth broadleaf forest in Yamagata Prefecture, Japan. | J Physiol Anthropol | 2007 | Tsunetsugu Y;Park BJ;Ishii H;Hirano H;Kagawa T;Miyazaki Y | View More |
19178728 | Identifying diabetic patients with cardiac autonomic neuropathy by heart rate complexity analysis. | Biomed Eng Online | 2009 | Khandoker AH;Jelinek HF;Palaniswami M | View More |
20879548 | [Historical range of variability in forest ecosystem management: applications and prospects]. | Ying Yong Sheng Tai Xue Bao | 2010 | Wu ZF;Li YH;Chang Y;Hu ZB | View More |
21996767 | [Report on how to stimulate local economy using forest therapy and on effect of forest therapy in Akazawa]. | Nihon Eiseigaku Zasshi | 2011 | Kumeda S;Sakai H;Hirata S;Koyama Y | View More |
22270487 | The effects of views of nature on autonomic control. | Eur J Appl Physiol | 2012 | Gladwell VF;Brown DK;Barton JL;Tarvainen MP;Kuoppa P;Pretty J;Suddaby JM;Sandercock GR | View More |
24110866 | Decision tree for smart feature extraction from sleep HR in bipolar patients. | Annu Int Conf IEEE Eng Med Biol Soc | 2013 | Migliorini M;Mariani S;Bianchi AM | View More |
24592473 | Classification tree for risk assessment in patients suffering from congestive heart failure via long-term heart rate variability. | IEEE J Biomed Health Inform | 2013 | Melillo P;De Luca N;Bracale M;Pecchia L | View More |
27835634 | A Novel and Effective Method for Congestive Heart Failure Detection and Quantification Using Dynamic Heart Rate Variability Measurement. | PLoS One | 2016 | Chen W;Zheng L;Li K;Wang Q;Liu G;Jiang Q | View More |
28771038 | Classification of driving workload affected by highway alignment conditions based on classification and regression tree algorithm. | Traffic Inj Prev | 2018 | Hu J;Wang R | View More |