These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
134 related articles for article (PubMed ID: 37753351)
21. Effects of Missing Data on Heart Rate Variability Metrics. Cajal D; Hernando D; Lázaro J; Laguna P; Gil E; Bailón R Sensors (Basel); 2022 Aug; 22(15):. PubMed ID: 35957328 [TBL] [Abstract][Full Text] [Related]
22. Heart rate variability (HRV) as a way to understand associations between the autonomic nervous system (ANS) and affective states: A critical review of the literature. Gullett N; Zajkowska Z; Walsh A; Harper R; Mondelli V Int J Psychophysiol; 2023 Oct; 192():35-42. PubMed ID: 37543289 [TBL] [Abstract][Full Text] [Related]
23. Application of an autoregressive integrated moving average model for predicting injury mortality in Xiamen, China. Lin Y; Chen M; Chen G; Wu X; Lin T BMJ Open; 2015 Dec; 5(12):e008491. PubMed ID: 26656013 [TBL] [Abstract][Full Text] [Related]
24. Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM. Shahid F; Zameer A; Muneeb M Chaos Solitons Fractals; 2020 Nov; 140():110212. PubMed ID: 32839642 [TBL] [Abstract][Full Text] [Related]
25. Application of a combined model with seasonal autoregressive integrated moving average and support vector regression in forecasting hand-foot-mouth disease incidence in Wuhan, China. Zou JJ; Jiang GF; Xie XX; Huang J; Yang XB Medicine (Baltimore); 2019 Feb; 98(6):e14195. PubMed ID: 30732135 [TBL] [Abstract][Full Text] [Related]
26. A robust algorithm for heart rate variability time series artefact correction using novel beat classification. Lipponen JA; Tarvainen MP J Med Eng Technol; 2019 Apr; 43(3):173-181. PubMed ID: 31314618 [No Abstract] [Full Text] [Related]
27. Effect of series of periodic limb movements in sleep on blood pressure, heart rate and high frequency heart rate variability. Malkiewicz MA; Grzywinska M; Malinowski KS; Partinen E; Partinen M; Cubala WJ; Winklewski PJ; Sieminski M Neurol Neurochir Pol; 2024; 58(2):167-175. PubMed ID: 37668022 [TBL] [Abstract][Full Text] [Related]
28. Comparison of autoregressive integrated moving average model and generalised regression neural network model for prediction of haemorrhagic fever with renal syndrome in China: a time-series study. Wang YW; Shen ZZ; Jiang Y BMJ Open; 2019 Jun; 9(6):e025773. PubMed ID: 31209084 [TBL] [Abstract][Full Text] [Related]
29. Validity of a Smartphone Application in Calculating Measures of Heart Rate Variability. Himariotis AT; Coffey KF; Noel SE; Cornell DJ Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560256 [TBL] [Abstract][Full Text] [Related]
30. Optimizing Intersession Reliability of Heart Rate Variability-The Effects of Artifact Correction and Breathing Type. Gisselman AS; D'Amico M; Smoliga JM J Strength Cond Res; 2020 Nov; 34(11):3199-3207. PubMed ID: 33105371 [TBL] [Abstract][Full Text] [Related]
31. Fuzzy-based prediction of solar PV and wind power generation for microgrid modeling using particle swarm optimization. Teferra DM; Ngoo LMH; Nyakoe GN Heliyon; 2023 Jan; 9(1):e12802. PubMed ID: 36704286 [TBL] [Abstract][Full Text] [Related]
32. Study on the National Monthly Reported Severe Cases of Hand-foot-mouth Disease Forecasted by Autoregressive Integrated Moving Average Model. Zhang S; Qiu Q; Wang Y Bing Du Xue Bao; 2017 Jan; 33(1):77-81. PubMed ID: 30702825 [TBL] [Abstract][Full Text] [Related]
33. Assessment of autoregressive integrated moving average (ARIMA), generalized linear autoregressive moving average (GLARMA), and random forest (RF) time series regression models for predicting influenza A virus frequency in swine in Ontario, Canada. Petukhova T; Ojkic D; McEwen B; Deardon R; Poljak Z PLoS One; 2018; 13(6):e0198313. PubMed ID: 29856881 [TBL] [Abstract][Full Text] [Related]
34. Heart rate variability and heart rate recovery as prognostic factors. Grad C Clujul Med; 2015; 88(3):304-9. PubMed ID: 26609261 [TBL] [Abstract][Full Text] [Related]
35. [Application of ARIMA model to predict number of malaria cases in China]. Hui-Yu H; Hua-Qin S; Shun-Xian Z; Lin AI; Yan LU; Yu-Chun C; Shi-Zhu LI; Xue-Jiao T; Chun-Li Y; Wei HU; Jia-Xu C Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2017 Aug; 29(4):436-440. PubMed ID: 29508575 [TBL] [Abstract][Full Text] [Related]
36. Industrial water consumption forecasting based on combined CEEMD-ARIMA model for Henan province, central chain: A case study. Zhang X; Zhao D; Wang T; Wu X Environ Monit Assess; 2022 Jun; 194(7):471. PubMed ID: 35652955 [TBL] [Abstract][Full Text] [Related]
37. Heart Rate Variability (HRV) serves as an objective correlate of distress and symptom burden in multiple sclerosis. Pilloni G; Best P; Kister I; Charvet L Int J Clin Health Psychol; 2024; 24(2):100454. PubMed ID: 38525015 [TBL] [Abstract][Full Text] [Related]
38. Spatial impact on inflation of Java Island prediction using Autoregressive Integrated Moving Average (ARIMA) and Generalized Space-Time ARIMA (GSTARIMA). Safira A; Dhiya'ulhaq RA; Fahmiyah I; Ghani M MethodsX; 2024 Dec; 13():102867. PubMed ID: 39101123 [TBL] [Abstract][Full Text] [Related]
39. Application of seasonal auto-regressive integrated moving average model in forecasting the incidence of hand-foot-mouth disease in Wuhan, China. Peng Y; Yu B; Wang P; Kong DG; Chen BH; Yang XB J Huazhong Univ Sci Technolog Med Sci; 2017 Dec; 37(6):842-848. PubMed ID: 29270741 [TBL] [Abstract][Full Text] [Related]
40. The development of a combined mathematical model to forecast the incidence of hepatitis E in Shanghai, China. Ren H; Li J; Yuan ZA; Hu JY; Yu Y; Lu YH BMC Infect Dis; 2013 Sep; 13():421. PubMed ID: 24010871 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]