Evaluation of Speech-Based Digital Biomarkers: Review and Recommendations
暂无分享,去创建一个
Frank Rudzicz | Maria Yancheva | Liam D. Kaufman | William Simpson | Jessica Robin | John E Harrison | Liam D Kaufman | F. Rudzicz | Jessica Robin | J. Harrison | Maria Yancheva | William Simpson | Frank Rudzicz
[1] Aurobinda Routray,et al. A novel drowsiness detection scheme based on speech analysis with validation using simultaneous EEG recordings , 2010, 2010 IEEE International Conference on Automation Science and Engineering.
[2] Sean Khozin,et al. Developing and adopting safe and effective digital biomarkers to improve patient outcomes , 2019, npj Digital Medicine.
[3] Chris Leptak,et al. What evidence do we need for biomarker qualification? , 2017, Science Translational Medicine.
[4] Kathleen C. Fraser,et al. Automated classification of primary progressive aphasia subtypes from narrative speech transcripts , 2014, Cortex.
[5] L S Honig,et al. Aging and Alzheimer's disease: lessons from the Nun Study. , 1998, The Gerontologist.
[6] Antoine Piau,et al. Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review , 2019, Journal of medical Internet research.
[7] Kathleen C. Fraser,et al. Linguistic Features Identify Alzheimer's Disease in Narrative Speech. , 2015, Journal of Alzheimer's disease : JAD.
[8] K. Strimbu,et al. What are biomarkers? , 2010, Current opinion in HIV and AIDS.
[9] Andrea Coravos,et al. Modernizing and designing evaluation frameworks for connected sensor technologies in medicine , 2020, npj Digital Medicine.
[10] Michal Novotný,et al. Smartphone Allows Capture of Speech Abnormalities Associated With High Risk of Developing Parkinson’s Disease , 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[11] Serguei V. S. Pakhomov,et al. Using automatic speech recognition to assess spoken responses to cognitive tests of semantic verbal fluency , 2015, Speech Commun..
[12] Frank Rudzicz,et al. On the importance of normative data in speech-based assessment , 2017, ArXiv.
[13] M. Copelli,et al. Thought disorder measured as random speech structure classifies negative symptoms and schizophrenia diagnosis 6 months in advance , 2017, npj Schizophrenia.
[14] V. Puntmann. How-to guide on biomarkers: biomarker definitions, validation and applications with examples from cardiovascular disease , 2009, Postgraduate Medical Journal.
[15] Gábor Gosztolya,et al. Detecting Mild Cognitive Impairment from Spontaneous Speech by Correlation-Based Phonetic Feature Selection , 2016, INTERSPEECH.
[16] Michael A. Covington,et al. Speech deficits in serious mental illness: A cognitive resource issue? , 2014, Schizophrenia Research.
[17] Youri Maryn,et al. Mobile Communication Devices, Ambient Noise, and Acoustic Voice Measures. , 2017, Journal of voice : official journal of the Voice Foundation.
[18] Claudia Manfredi,et al. Maximal Ambient Noise Levels and Type of Voice Material Required for Valid Use of Smartphones in Clinical Voice Research. , 2017, Journal of voice : official journal of the Voice Foundation.
[19] Visar Berisha,et al. Tracking discourse complexity preceding Alzheimer's disease diagnosis: a case study comparing the press conferences of Presidents Ronald Reagan and George Herbert Walker Bush. , 2015, Journal of Alzheimer's disease : JAD.
[20] Felix Schaeffler,et al. Assessing voice health using smartphones: bias and random error of acoustic voice parameters captured by different smartphone types. , 2019, International journal of language & communication disorders.
[21] S. Cappa,et al. Connected Speech in Neurodegenerative Language Disorders: A Review , 2017, Front. Psychol..
[22] D R Wekstein,et al. Linguistic ability in early life and cognitive function and Alzheimer's disease in late life. Findings from the Nun Study. , 1996, JAMA.
[23] Ryuki Tachibana,et al. Major depressive disorder discrimination using vocal acoustic features. , 2018, Journal of affective disorders.
[24] Gábor Gosztolya,et al. A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech , 2018, Current Alzheimer research.
[25] Dimitra Vergyri,et al. Learning diagnostic models using speech and language measures , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[26] David A. Snowdon,et al. Early life linguistic ability, late life cognitive function, and neuropathology: findings from the Nun Study , 2005, Neurobiology of Aging.
[27] J. Flint,et al. Re-examining the robustness of voice features in predicting depression: Compared with baseline of confounders , 2019, PloS one.
[28] J. Mundt,et al. Vocal Acoustic Biomarkers of Depression Severity and Treatment Response , 2012, Biological Psychiatry.
[29] J. Mundt,et al. Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology , 2007, Journal of Neurolinguistics.
[30] Elmar Nöth,et al. How language flows when movements don’t: An automated analysis of spontaneous discourse in Parkinson’s disease , 2016, Brain and Language.
[31] H. Riper,et al. Validating Automated Sentiment Analysis of Online Cognitive Behavioral Therapy Patient Texts: An Exploratory Study , 2019, Front. Psychol..
[32] K. Forbes-McKay,et al. Detecting subtle spontaneous language decline in early Alzheimer’s disease with a picture description task , 2005, Neurological Sciences.
[33] Mark Liberman,et al. Validated automatic speech biomarkers in primary progressive aphasia , 2018, Annals of clinical and translational neurology.
[34] Dong Si,et al. Parkinson’s Disease Diagnosis Using Machine Learning and Voice , 2018, 2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).
[35] Graeme Hirst,et al. Longitudinal detection of dementia through lexical and syntactic changes in writing: a case study of three British novelists , 2011, Lit. Linguistic Comput..
[36] Miguel Angel Ferrer-Ballester,et al. Alzheimer's disease and automatic speech analysis: A review , 2020, Expert Syst. Appl..
[37] Colleen Richey,et al. Aided diagnosis of dementia type through computer-based analysis of spontaneous speech , 2014, CLPsych@ACL.
[38] Enkelejda Miho,et al. Traditional and Digital Biomarkers: Two Worlds Apart? , 2019, Digital Biomarkers.
[39] S. Borson,et al. Rationale for Early Diagnosis of Mild Cognitive Impairment (MCI) supported by Emerging Digital Technologies , 2020, The Journal of Prevention of Alzheimer's Disease.
[40] Brita Elvevåg,et al. Automated computerized analysis of speech in psychiatric disorders , 2014, Current opinion in psychiatry.
[41] Michael Sedlmair,et al. More than Bags of Words: Sentiment Analysis with Word Embeddings , 2018 .
[42] O. Kinouchi,et al. Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis , 2012, PloS one.
[43] Jennifer C. Goldsack,et al. Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs) , 2020, npj Digital Medicine.
[44] Dimitrios Kokkinakis,et al. Voice quality and speech fluency distinguish individuals with Mild Cognitive Impairment from Healthy Controls , 2020, PloS one.
[45] Robert T. Schultz,et al. Automatic Detection of Autism Spectrum Disorder in Children Using Acoustic and Text Features from Brief Natural Conversations , 2019, INTERSPEECH.
[46] Pavel Sovka,et al. Validation of freely-available pitch detection algorithms across various noise levels in assessing speech captured by smartphone in Parkinson's disease , 2020, Biomed. Signal Process. Control..
[47] Meysam Asgari,et al. Predicting mild cognitive impairment from spontaneous spoken utterances , 2017, Alzheimer's & dementia.
[48] Veronika Vincze,et al. Speaking in Alzheimer’s Disease, is That an Early Sign? Importance of Changes in Language Abilities in Alzheimer’s Disease , 2015, Front. Aging Neurosci..
[49] Adam P Vogel,et al. Motor Speech Phenotypes of Frontotemporal Dementia, Primary Progressive Aphasia, and Progressive Apraxia of Speech. , 2017, Journal of speech, language, and hearing research : JSLHR.
[50] M. Sigman,et al. Automated analysis of free speech predicts psychosis onset in high-risk youths , 2015, npj Schizophrenia.
[51] Oliver B. Regele,et al. Digital biomarkers for Alzheimer’s disease: the mobile/wearable devices opportunity , 2019, npj Digital Medicine.
[52] Antanas Verikas,et al. Exploring the feasibility of smart phone microphone for measurement of acoustic voice parameters and voice pathology screening , 2015, European Archives of Oto-Rhino-Laryngology.
[53] Ioannis Tarnanas,et al. Digital technologies as biomarkers, clinical outcomes assessment, and recruitment tools in Alzheimer's disease clinical trials , 2018, Alzheimer's & dementia.
[54] Nicholas B. Allen,et al. Detection of Clinical Depression in Adolescents’ Speech During Family Interactions , 2011, IEEE Transactions on Biomedical Engineering.
[55] John L Allinson. Clinical biomarker validation. , 2018, Bioanalysis.
[56] Alexandra Konig,et al. Use of Speech Analyses within a Mobile Application for the Assessment of Cognitive Impairment in Elderly People. , 2018, Current Alzheimer research.
[57] Jennifer C. Goldsack,et al. Digital Medicine: A Primer on Measurement , 2019, Digital Biomarkers.
[58] Tingshao Zhu,et al. Acoustic differences between healthy and depressed people: a cross-situation study , 2019, BMC Psychiatry.
[59] Gary Bishop,et al. Automated Speech Recognition in Adult Stroke Survivors: Comparing Human and Computer Transcriptions , 2019, Folia Phoniatrica et Logopaedica.
[60] Sheena Reilly,et al. Comparability of Modern Recording Devices for Speech Analysis: Smartphone, Landline, Laptop, and Hard Disc Recorder , 2015, Folia Phoniatrica et Logopaedica.
[61] G. Cecchi,et al. Prediction of psychosis across protocols and risk cohorts using automated language analysis , 2018, World psychiatry : official journal of the World Psychiatric Association.
[62] C Manfredi,et al. Smartphones Offer New Opportunities in Clinical Voice Research. , 2017, Journal of voice : official journal of the Voice Foundation.
[63] J. Willits,et al. Measuring disorganized speech in schizophrenia: automated analysis explains variance in cognitive deficits beyond clinician-rated scales , 2018, Psychological Medicine.
[64] J. Hodges,et al. The effects of very early Alzheimer's disease on the characteristics of writing by a renowned author. , 2004, Brain : a journal of neurology.
[65] C. Jack,et al. Strategic roadmap for an early diagnosis of Alzheimer's disease based on biomarkers , 2017, The Lancet Neurology.