Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Adam C. Lammert"'
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 589-592 (2024)
Goal: We validate a recent reverse correlation approach to tinnitus characterization by applying it to individuals with clinically-diagnosed tinnitus. Methods: Two tinnitus patients assessed the subjective similarity of their non-tonal tinnitus perce
Externí odkaz:
https://doaj.org/article/365d362ac39345e2a0e7bd32f18790e4
Publikováno v:
IEEE Access, Vol 11, Pp 50671-50688 (2023)
The types of Activities of Daily Living (ADL) a person performs or avoids, and underlying patterns can provide insights into physical and mental health, making passive ADL recognition from smartphone sensor data important. However, as people perform
Externí odkaz:
https://doaj.org/article/a25ffaff7781422180b7ff320e865dd0
Autor:
Alec Hoyland, Nelson V. Barnett, Benjamin W. Roop, Danae Alexandrou, Myah Caplan, Jacob Mills, Benjamin Parrell, Divya A. Chari, Adam C. Lammert
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 4, Pp 116-118 (2023)
Goal: This study validates an approach to characterizing the sounds experienced by tinnitus patients via reverse correlation, with potential for characterizing a wider range of sounds than currently possible. Methods: Ten normal-hearing subjects asse
Externí odkaz:
https://doaj.org/article/d86b8f9d141844dabc42dbc178dc1200
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 2, Pp 304-313 (2021)
Goal: Smartphones can be used to passively assess and monitor patients’ speech impairments caused by ailments such as Parkinson’s disease, Traumatic Brain Injury (TBI), Post-Traumatic Stress Disorder (PTSD) and neurodegenerative diseases such as
Externí odkaz:
https://doaj.org/article/30cf42162f34496db8a6a11b22a9a1a1
Autor:
Benjamin Parrell, Adam C. Lammert
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
Current models of speech motor control rely on either trajectory-based control (DIVA, GEPPETO, ACT) or a dynamical systems approach based on feedback control (Task Dynamics, FACTS). While both approaches have provided insights into the speech motor s
Externí odkaz:
https://doaj.org/article/5754f7ce417f450ba6d3ca382ba4510e
Publikováno v:
Perspectives of the ASHA Special Interest Groups. 7:276-283
Purpose: Over the past decade, the signal processing and machine learning literature has demonstrated notable advancements in automated speech processing with the use of artificial intelligence for medical assessment and monitoring (e.g., depression,
Publikováno v:
J Speech Lang Hear Res
Purpose: This study investigated the criterion (analytical and clinical) and construct (divergent) validity of a novel, acoustic-based framework composed of five key components of motor control: Coordination, Consistency, Speed, Precision, and Rate.
Autor:
Alec Hoyland, Nelson V. Barnett, Benjamin W. Roop, Danae Alexandrou, Myah Caplan, Jacob Mills, Benjamin Parrell, Divya A. Chari, Adam C. Lammert
GoalThis study validates an approach to characterizing the sounds experienced by tinnitus patients via reverse correlation, with potential for characterizing a wider range of sounds than currently possible.MethodsTen normal-hearing subjects assessed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c52ec1cf07c647eb64a5c3b8d3d2b8af
https://doi.org/10.1101/2022.12.23.521795
https://doi.org/10.1101/2022.12.23.521795
Publikováno v:
Behavior Research Methods.
Human perception depends upon internal representations of the environment that help to organize the raw information available from the senses by acting as reference patterns. Internal representations are widely characterized using reverse correlation
Autor:
Hannah P. Rowe, Perman Gochyyev, Adam C. Lammert, Anja Lowit, Kristie A. Spencer, Bradford C. Dickerson, James D. Berry, Jordan R. Green
Publikováno v:
J Neural Transm (Vienna)
Despite the impacts of neurodegeneration on speech function, little is known about how to comprehensively characterize the resulting speech abnormalities using a set of objective measures. Quantitative phenotyping of speech motor impairments may have