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Your search keyword '"Yamane, Natasha"' showing total 8 results
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8 results on '"Yamane, Natasha"'

1. Building an Open-Source Community to Enhance Autonomic Nervous System Signal Analysis: DBDP-Autonomic

Author

Dunn, Jessilyn, Mishra, Varun, Shandhi, Md Mobashir Hasan, Jeong, Hayoung, Yamane, Natasha, Watanabe, Yuna, Chen, Bill, and Goodwin, Matthew S.

Subjects
Computer Science - Human-Computer Interaction
Abstract

Smartphones and wearable sensors offer an unprecedented ability to collect peripheral psychophysiological signals across diverse timescales, settings, populations, and modalities. However, open-source software development has yet to keep pace with rapid advancements in hardware technology and availability, creating an analytical barrier that limits the scientific usefulness of acquired data. We propose a community-driven, open-source peripheral psychophysiological signal pre-processing and analysis software framework that could advance biobehavioral health by enabling more robust, transparent, and reproducible inferences involving autonomic nervous system data.

Published
2024

2. HeartView: An Extensible, Open-Source, Web-Based Signal Quality Assessment Pipeline for Ambulatory Cardiovascular Data

Author

Yamane, Natasha, Mishra, Varun, Goodwin, Matthew S., Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Salvi, Dario, editor, Van Gorp, Pieter, editor, and Shah, Syed Ahmar, editor

Published
2024
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3. Building an open-source community to enhance autonomic nervous system signal analysis: DBDP-autonomic.

Author

Dunn, Jessilyn, Mishra, Varun, Shandhi, Md Mobashir Hasan, Jeong, Hayoung, Yamane, Natasha, Watanabe, Yuna, Chen, Bill, and Goodwin, Matthew S.

Subjects
PERIPHERAL nervous system physiology, PSYCHOPHYSIOLOGY, COMMUNITY health services, DIGITAL technology, AUTONOMIC nervous system, COMPUTER software, GRAPHICAL user interfaces, SIGNAL processing, CONCEPTUAL structures, DATA quality, BIOMARKERS, PHENOTYPES
Abstract

Smartphones and wearable sensors offer an unprecedented ability to collect peripheral psychophysiological signals across diverse timescales, settings, populations, and modalities. However, open-source software development has yet to keep pace with rapid advancements in hardware technology and availability, creating an analytical barrier that limits the scientific usefulness of acquired data. We propose a community-driven, open-source peripheral psychophysiological signal pre-processing and analysis software framework that could advance biobehavioral health by enabling more robust, transparent, and reproducible inferences involving autonomic nervous system data. [ABSTRACT FROM AUTHOR]

Published
2025
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7. Assessing Child Postural Variability: Development, Feasibility, and Reliability of a Video Coding System.

Author

Abbruzzese, Laurel Daniels, Yamane, Natasha, Fein, Deborah, Naigles, Letitia, and Goldman, Sylvie

Subjects
*RELIABILITY (Personality trait), *PILOT projects, *POSTURAL balance, *RESEARCH methodology evaluation, *RESEARCH methodology, *HUMAN locomotion, *CHILD development, *PSYCHOMETRICS, *INTER-observer reliability, *AUTISM, *PLAY, *DESCRIPTIVE statistics, *RESEARCH funding, *STATISTICAL sampling, *DATA analysis software, *MOTOR ability, *VIDEO recording, *CHILDREN
Abstract

Postural variability is central to children's locomotion, motor control, and environmental exploration, and lacks standardized methods for systematic assessment. The purpose of this study was to develop and evaluate the feasibility and interrater reliability of Child Posture Variability Coding (CPVC), a method of quantifying postural variability in young children. Videos of parent-child play interactions obtained from a longitudinal study investigating language acquisition in typically developing (TD) children and children with autism spectrum disorder (ASD) were used to develop 33 codes for children's voluntary changes in static and dynamic postures. Interrater reliability was calculated for three raters who independently coded 10 randomly selected videos of children aged 23 to 48 months (TD: n = 5, median = 35, IQR = 12.5; ASD: n = 5, median = 35, IQR = 6.75). Overall, CPVC demonstrated excellent interrater reliability (Krippendorff's α > 0.90). Among all codes developed, five codes (i.e., sit–half, sit–other, crawl, cruise, and supported walk) were not observed by any coders in the sample, but were kept in the coding scheme to reflect normal developmental milestones. CPVC is a reliable, feasible method of quantifying postural variability in young children with and without neurodevelopmental disorders in naturalistic contexts. [ABSTRACT FROM AUTHOR]

Published
2021
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8. Identifying Vocal-Motor Behaviors of Joint Engagement in Children with Autism Spectrum Disorder and Their Parents

Author

Yamane, Natasha M.

Subjects
Motor ability, Children with autism spectrum disorders, Parent and child, Dyadic analysis (Social sciences), Counseling psychology, Clinical psychology
Abstract

Impairments in joint engagement (JE), the triadic arrangement between a parent and a child around a shared object or event, have been vastly studied as a hallmark of children with autism spectrum disorder (ASD). However, a majority of existing work on JE has used primarily global measures of social behaviors derived from prior work on joint attention skills. To address this limitation, we developed the Vocal-Motor Coding System (VMCS), a novel coding system that integrates motoric variables of Proximity, Orientation, and Object–Touch, as well as vocal variables of Loudness and Rhythmicity (i.e., vocalization, pause, and switching pause). The VMCS was applied to code a joint-attention task completed by 20 parent-child dyads, including 10 with typical development (TD) and 10 with ASD. The criterion validity of the VMCS was assessed against an established coding system for JE, revealing a number of significant correlations (p < 0.05) between motoric behaviors and child engagement states and between vocal behaviors and parental attention-directing strategies. Although no significant differences were found between vocal-motor behaviors of dyads with TD and ASD, we found strong, positive associations within the ASD group among the frequencies and durations of dyadic motoric behaviors with parental vocal behaviors. Specifically, close proximity was strongly related to parental loudness (ρ = –0.90) and switching pauses of parents (ρ = 0.89) and children (ρ = 0.93). Findings support the viability of the VMCS as an instrument for coding JE using discrete vocal-motor measures, and point toward its utility in characterizing strategies used by parents to achieve JE with their children.

Published
2018
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