Externally validated deep learning model to identify prodromal Parkinson’s disease from electrocardiogram

[1]  D. Mannino,et al.  Fractional Dynamics Foster Deep Learning of COPD Stage Prediction , 2023, Advanced science.

[2]  L. Chen,et al.  ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure , 2021, European heart journal. Digital health.

[3]  H. Reichmann,et al.  Parkinson’s Disease Detection Based on Running Speech Data From Phone Calls , 2021, IEEE Transactions on Biomedical Engineering.

[4]  A. Alexandrov,et al.  Predicting Parkinson’s Disease and Its Pathology via Simple Clinical Variables , 2021, Journal of Parkinson's disease.

[5]  Y. Iguchi,et al.  Association between heart rate variability and striatal dopamine depletion in Parkinson’s disease , 2021, Journal of Neural Transmission.

[6]  Md. Murshadul Hoque,et al.  Detection of Parkinson's Disease by Employing Boosting Algorithms , 2021, 2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR).

[7]  Jyotirmoy V. Deshmukh,et al.  Non-Markovian Reinforcement Learning using Fractional Dynamics , 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

[8]  P. Schlattmann,et al.  Heart Rate Variability Analyses in Parkinson’s Disease: A Systematic Review and Meta-Analysis , 2021, Brain sciences.

[9]  Mohammed Nazim Uddin,et al.  Vocal Feature Extraction-Based Artificial Intelligent Model for Parkinson’s Disease Detection , 2021, Diagnostics.

[10]  K. Ahn,et al.  Cortical Thickness from MRI to Predict Conversion from Mild Cognitive Impairment to Dementia in Parkinson Disease: A Machine Learning-based Model. , 2021, Radiology.

[11]  I. Kohane,et al.  Accelerating diagnosis of Parkinson’s disease through risk prediction , 2021, BMC Neurology.

[12]  L. Chen,et al.  ARTIFICIAL INTELLIGENCE APPLIED TO ECG IMPROVES HEART FAILURE PREDICTION ACCURACY , 2021 .

[13]  D. Vigo,et al.  Heart Rate Variability and Mild Cognitive Impairment in Parkinson's Disease , 2020, Movement disorders : official journal of the Movement Disorder Society.

[14]  Yuan Li,et al.  Association Between Heart Rate Variability and Parkinson's Disease: A Meta-Analysis. , 2020, CNS & neurological disorders drug targets.

[15]  C. Tanner,et al.  Electrocardiographic changes predate Parkinson’s disease onset , 2020, Scientific Reports.

[16]  C. Buttá,et al.  Impaired circadian heart rate variability in Parkinson’s disease: a time-domain analysis in ambulatory setting , 2019, BMC Neurology.

[17]  G. Halliday,et al.  Parkinson’s progression prediction using machine learning and serum cytokines , 2019, npj Parkinson's Disease.

[18]  P. Bugalho,et al.  Heart rate variability in Parkinson disease and idiopathic REM sleep behavior disorder , 2018, Clinical Autonomic Research.

[19]  Stephen L. Smith,et al.  Using echo state networks for classification: A case study in Parkinson's disease diagnosis , 2018, Artif. Intell. Medicine.

[20]  Tie-Yan Liu,et al.  LightGBM: A Highly Efficient Gradient Boosting Decision Tree , 2017, NIPS.

[21]  M. Hallett,et al.  Past, present, and future of Parkinson's disease: A special essay on the 200th Anniversary of the Shaking Palsy , 2017, Movement disorders : official journal of the Movement Disorder Society.

[22]  Lukasz Kaiser,et al.  Attention is All you Need , 2017, NIPS.

[23]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[24]  G. Deuschl,et al.  MDS clinical diagnostic criteria for Parkinson's disease , 2015, Movement disorders : official journal of the Movement Disorder Society.

[25]  A. Rajput,et al.  Early-onset vs. Late-onset Parkinson’s disease: A Clinical-pathological Study , 2015, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

[26]  Xuemei Huang,et al.  Heart rate variability and the risk of Parkinson disease: The Atherosclerosis Risk in Communities study , 2015, Annals of neurology.

[27]  R. Postuma,et al.  Parkinson risk in idiopathic REM sleep behavior disorder , 2015, Neurology.

[28]  D. Berg,et al.  Time- and frequency-domain parameters of heart rate variability and sympathetic skin response in Parkinson’s disease , 2015, Journal of Neural Transmission.

[29]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[30]  Carlos H Schenck,et al.  Delayed emergence of a parkinsonian disorder or dementia in 81% of older men initially diagnosed with idiopathic rapid eye movement sleep behavior disorder: a 16-year update on a previously reported series. , 2013, Sleep medicine.

[31]  Geoffrey E. Hinton,et al.  Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[32]  Chris D. Nugent,et al.  A review of ECG storage formats , 2011, Int. J. Medical Informatics.

[33]  Lama M Chahine,et al.  Diagnostic markers for Parkinson's disease. , 2011, Current opinion in neurology.

[34]  R. Postuma,et al.  Cardiac autonomic dysfunction in idiopathic REM sleep behavior disorder , 2010, Movement disorders : official journal of the Movement Disorder Society.

[35]  D. Dickson,et al.  Neuropathology of non-motor features of Parkinson disease. , 2009, Parkinsonism & related disorders.

[36]  D. Dickson,et al.  Cardiac sympathetic denervation correlates with clinical and pathologic stages of Parkinson's disease , 2008, Movement disorders : official journal of the Movement Disorder Society.

[37]  Satoshi Orimo,et al.  Axonal α-synuclein aggregates herald centripetal degeneration of cardiac sympathetic nerve in Parkinson's disease , 2008 .

[38]  A. Kakita,et al.  Degeneration of Cardiac Sympathetic Nerve Begins in the Early Disease Process of Parkinson’s Disease , 2007, Brain pathology.

[39]  H. Braak,et al.  Gastric α-synuclein immunoreactive inclusions in Meissner's and Auerbach's plexuses in cases staged for Parkinson's disease-related brain pathology , 2006, Neuroscience Letters.

[40]  V. Somers,et al.  Heart Rate Variability: , 2003, Journal of cardiovascular electrophysiology.

[41]  H. Braak,et al.  Staging of brain pathology related to sporadic Parkinson’s disease , 2003, Neurobiology of Aging.

[42]  A. M. Bianchi,et al.  Comparison of heart rate variability analysis methods in patients with Parkinson's disease , 2002, Medical and Biological Engineering and Computing.

[43]  H. Huikuri,et al.  Ambulatory ECG and analysis of heart rate variability in Parkinson's disease , 2001, Journal of neurology, neurosurgery, and psychiatry.

[44]  K. Iwanaga,et al.  Lewy body–type degeneration in cardiac plexus in Parkinson’s and incidental Lewy body diseases , 1999, Neurology.

[45]  S. Hochreiter,et al.  Long Short-Term Memory , 1997, Neural Computation.

[46]  A. Malliani,et al.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .

[47]  G. Breithardt,et al.  Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. , 1996 .

[48]  U. Rinne,et al.  Progression and survival in Parkinson's disease , 1991, Acta neurologica Scandinavica. Supplementum.

[49]  Y. Agid,et al.  Striatal dopamine deficiency in parkinson's disease: Role of aging , 1989, Annals of neurology.

[50]  K. Jellinger,et al.  Brain dopamine and the syndromes of Parkinson and Huntington. Clinical, morphological and neurochemical correlations. , 1973, Journal of the neurological sciences.

[51]  J. Volkmann,et al.  Parkinson disease , 2017, Nature Reviews Disease Primers.

[52]  Xuemei Huang,et al.  Heart rate variability and the risk of Parkinson’s disease: the Atherosclerosis Risk in Communities (ARIC) Study , 2015 .

[53]  Nitish Srivastava,et al.  Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..

[54]  Andrew L. Maas.  Rectifier Nonlinearities Improve Neural Network Acoustic Models , 2013 .

[55]  A. Kakita,et al.  Axonal alpha-synuclein aggregates herald centripetal degeneration of cardiac sympathetic nerve in Parkinson's disease. , 2008, Brain : a journal of neurology.

[56]  M. Malik.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. , 1996, European heart journal.