180 related articles for article (PubMed ID: 38009405)
1. Time-domain heart rate variability features for automatic congestive heart failure prediction.
Moses JC; Adibi S; Angelova M; Islam SMS
ESC Heart Fail; 2024 Feb; 11(1):378-389. PubMed ID: 38009405
[TBL] [Abstract][Full Text] [Related]
2. Depressed heart rate variability as an independent predictor of death in chronic congestive heart failure secondary to ischemic or idiopathic dilated cardiomyopathy.
Ponikowski P; Anker SD; Chua TP; Szelemej R; Piepoli M; Adamopoulos S; Webb-Peploe K; Harrington D; Banasiak W; Wrabec K; Coats AJ
Am J Cardiol; 1997 Jun; 79(12):1645-50. PubMed ID: 9202356
[TBL] [Abstract][Full Text] [Related]
3. Machine learning based congestive heart failure detection using feature importance ranking of multimodal features.
Hussain L; Aziz W; Khan IR; Alkinani MH; Alowibdi JS
Math Biosci Eng; 2020 Nov; 18(1):69-91. PubMed ID: 33525081
[TBL] [Abstract][Full Text] [Related]
4. Ultra-short-term heart rate variability during resistance exercise in the elderly.
Arêas GPT; Caruso FCR; Simões RP; Castello-Simões V; Jaenisch RB; Sato TO; Cabiddu R; Mendes R; Arena R; Borghi-Silva A
Braz J Med Biol Res; 2018; 51(6):e6962. PubMed ID: 29791599
[TBL] [Abstract][Full Text] [Related]
5. A Novel Smartphone App for the Measurement of Ultra-Short-Term and Short-Term Heart Rate Variability: Validity and Reliability Study.
Chen YS; Lu WA; Pagaduan JC; Kuo CD
JMIR Mhealth Uhealth; 2020 Jul; 8(7):e18761. PubMed ID: 32735219
[TBL] [Abstract][Full Text] [Related]
6. Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques.
Hussain L; Awan IA; Aziz W; Saeed S; Ali A; Zeeshan F; Kwak KS
Biomed Res Int; 2020; 2020():4281243. PubMed ID: 32149106
[TBL] [Abstract][Full Text] [Related]
7. [Changes in autonomic control of heart rate after ischemic cerebral stroke].
Lakusić N; Mahović D; Babić T; Sporis D
Acta Med Croatica; 2003; 57(4):269-73. PubMed ID: 14639860
[TBL] [Abstract][Full Text] [Related]
8. Comparative Cross-sectional Study on Phasic Heart Rate Variability and Working Memory Among Young Adults.
Budhi BR; Deepeshwar S; Angadi B
Adv Mind Body Med; 2022 Fall; 36(4):12-19. PubMed ID: 36351186
[TBL] [Abstract][Full Text] [Related]
9. Detection of mental fatigue state with wearable ECG devices.
Huang S; Li J; Zhang P; Zhang W
Int J Med Inform; 2018 Nov; 119():39-46. PubMed ID: 30342684
[TBL] [Abstract][Full Text] [Related]
10. Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison With Electrocardiography in Time and Frequency Domains: Comprehensive Analysis.
Cao R; Azimi I; Sarhaddi F; Niela-Vilen H; Axelin A; Liljeberg P; Rahmani AM
J Med Internet Res; 2022 Jan; 24(1):e27487. PubMed ID: 35040799
[TBL] [Abstract][Full Text] [Related]
11. A unified non-linear approach based on recurrence quantification analysis and approximate entropy: application to the classification of heart rate variability of age-stratified subjects.
Singh V; Gupta A; Sohal JS; Singh A
Med Biol Eng Comput; 2019 Mar; 57(3):741-755. PubMed ID: 30390223
[TBL] [Abstract][Full Text] [Related]
12. The efficiency of 10-second resting heart rate for the evaluation of short-term heart rate variability indices.
Nussinovitch U; Elishkevitz KP; Kaminer K; Nussinovitch M; Segev S; Volovitz B; Nussinovitch N
Pacing Clin Electrophysiol; 2011 Nov; 34(11):1498-502. PubMed ID: 21797904
[TBL] [Abstract][Full Text] [Related]
13. Heart Rate Information-Based Machine Learning Prediction of Emotions Among Pregnant Women.
Li X; Ono C; Warita N; Shoji T; Nakagawa T; Usukura H; Yu Z; Takahashi Y; Ichiji K; Sugita N; Kobayashi N; Kikuchi S; Kunii Y; Murakami K; Ishikuro M; Obara T; Nakamura T; Nagami F; Takai T; Ogishima S; Sugawara J; Hoshiai T; Saito M; Tamiya G; Fuse N; Kuriyama S; Yamamoto M; Yaegashi N; Homma N; Tomita H
Front Psychiatry; 2021; 12():799029. PubMed ID: 35153864
[TBL] [Abstract][Full Text] [Related]
14. Twenty-four hour time domain heart rate variability and heart rate: relations to age and gender over nine decades.
Umetani K; Singer DH; McCraty R; Atkinson M
J Am Coll Cardiol; 1998 Mar; 31(3):593-601. PubMed ID: 9502641
[TBL] [Abstract][Full Text] [Related]
15. The effect of principal component analysis in the diagnosis of congestive heart failure via heart rate variability analysis.
Selek MB; Yesilkaya B; Egeli SS; Isler Y
Proc Inst Mech Eng H; 2021 Dec; 235(12):1479-1488. PubMed ID: 34365841
[TBL] [Abstract][Full Text] [Related]
16. HRV Features as Viable Physiological Markers for Stress Detection Using Wearable Devices.
Dalmeida KM; Masala GL
Sensors (Basel); 2021 Apr; 21(8):. PubMed ID: 33921884
[TBL] [Abstract][Full Text] [Related]
17. Predicting Positive Repeat Prostate Biopsy Outcomes: Comparison of Machine Learning Approaches to Identify Key Parameters and Optimal Algorithms.
Zhang X; Feng C; Bai X; Peng X; Guo Q; Chen L; Xue J
Arch Esp Urol; 2023 Sep; 76(7):494-503. PubMed ID: 37867334
[TBL] [Abstract][Full Text] [Related]
18. Heart rate variability measures during sinus rhythm predict cycle length entropy during atrial fibrillation.
Segerson NM; Smith ML; Wasmund SL; Lux RL; Daccarett M; Hamdan MH
J Cardiovasc Electrophysiol; 2008 Oct; 19(10):1031-6. PubMed ID: 18462335
[TBL] [Abstract][Full Text] [Related]
19. Nocturnal heart rate variability parameters as potential fibromyalgia biomarker: correlation with symptoms severity.
Lerma C; Martinez A; Ruiz N; Vargas A; Infante O; Martinez-Lavin M
Arthritis Res Ther; 2011; 13(6):R185. PubMed ID: 22087605
[TBL] [Abstract][Full Text] [Related]
20. Dopamine and dobutamine have different effects on heart rate variability in patients with congestive heart failure.
Hsueh CW; Lee WL; Chen CK; Ho HY; Chen CP; Huang JL; Huang DS; Chen YT; Ting CT
Zhonghua Yi Xue Za Zhi (Taipei); 1998 Apr; 61(4):199-209. PubMed ID: 9614778
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]