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matlab function findchangpts  (MathWorks Inc)


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    MathWorks Inc matlab function findchangpts
    Multimodal time series of a tickle response. Time series of four physiological measures, shown exemplarily for one trial after tickling of the most ticklish body part (here, armpit) of participant 1. Data in all panels are shown relative to touch onset (dashed line). ( a ) Facial action unit AU12 (lip corner pull, blue trace) and AU06 (cheek raiser, purple trace). Video stills show the facial expression of the participant in that trial at the time of touch onset (left) and at the peak of the response at 0.86 s after touch onset (right). ( b ) Thoracic circumference. ( c ) Spectrogram of vocalization. Response latencies (solid vertical lines) were computed using the Matlab function <t>findchangpts</t> to find the most significant change points in mean and slope of individual traces within 1 s time-interval post touch onset.
    Matlab Function Findchangpts, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab function findchangpts/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab function findchangpts - by Bioz Stars, 2026-05
    90/100 stars

    Images

    1) Product Images from "The human tickle response and mechanisms of self-tickle suppression"

    Article Title: The human tickle response and mechanisms of self-tickle suppression

    Journal: Philosophical Transactions of the Royal Society B: Biological Sciences

    doi: 10.1098/rstb.2021.0185

    Multimodal time series of a tickle response. Time series of four physiological measures, shown exemplarily for one trial after tickling of the most ticklish body part (here, armpit) of participant 1. Data in all panels are shown relative to touch onset (dashed line). ( a ) Facial action unit AU12 (lip corner pull, blue trace) and AU06 (cheek raiser, purple trace). Video stills show the facial expression of the participant in that trial at the time of touch onset (left) and at the peak of the response at 0.86 s after touch onset (right). ( b ) Thoracic circumference. ( c ) Spectrogram of vocalization. Response latencies (solid vertical lines) were computed using the Matlab function findchangpts to find the most significant change points in mean and slope of individual traces within 1 s time-interval post touch onset.
    Figure Legend Snippet: Multimodal time series of a tickle response. Time series of four physiological measures, shown exemplarily for one trial after tickling of the most ticklish body part (here, armpit) of participant 1. Data in all panels are shown relative to touch onset (dashed line). ( a ) Facial action unit AU12 (lip corner pull, blue trace) and AU06 (cheek raiser, purple trace). Video stills show the facial expression of the participant in that trial at the time of touch onset (left) and at the peak of the response at 0.86 s after touch onset (right). ( b ) Thoracic circumference. ( c ) Spectrogram of vocalization. Response latencies (solid vertical lines) were computed using the Matlab function findchangpts to find the most significant change points in mean and slope of individual traces within 1 s time-interval post touch onset.

    Techniques Used: Expressing



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    matlab function findchangpts  (MathWorks Inc)
    90
    MathWorks Inc matlab function findchangpts
    Multimodal time series of a tickle response. Time series of four physiological measures, shown exemplarily for one trial after tickling of the most ticklish body part (here, armpit) of participant 1. Data in all panels are shown relative to touch onset (dashed line). ( a ) Facial action unit AU12 (lip corner pull, blue trace) and AU06 (cheek raiser, purple trace). Video stills show the facial expression of the participant in that trial at the time of touch onset (left) and at the peak of the response at 0.86 s after touch onset (right). ( b ) Thoracic circumference. ( c ) Spectrogram of vocalization. Response latencies (solid vertical lines) were computed using the Matlab function <t>findchangpts</t> to find the most significant change points in mean and slope of individual traces within 1 s time-interval post touch onset.
    Matlab Function Findchangpts, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab function findchangpts/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab function findchangpts - by Bioz Stars, 2026-05
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Multimodal time series of a tickle response. Time series of four physiological measures, shown exemplarily for one trial after tickling of the most ticklish body part (here, armpit) of participant 1. Data in all panels are shown relative to touch onset (dashed line). ( a ) Facial action unit AU12 (lip corner pull, blue trace) and AU06 (cheek raiser, purple trace). Video stills show the facial expression of the participant in that trial at the time of touch onset (left) and at the peak of the response at 0.86 s after touch onset (right). ( b ) Thoracic circumference. ( c ) Spectrogram of vocalization. Response latencies (solid vertical lines) were computed using the Matlab function findchangpts to find the most significant change points in mean and slope of individual traces within 1 s time-interval post touch onset.

    Journal: Philosophical Transactions of the Royal Society B: Biological Sciences

    Article Title: The human tickle response and mechanisms of self-tickle suppression

    doi: 10.1098/rstb.2021.0185

    Figure Lengend Snippet: Multimodal time series of a tickle response. Time series of four physiological measures, shown exemplarily for one trial after tickling of the most ticklish body part (here, armpit) of participant 1. Data in all panels are shown relative to touch onset (dashed line). ( a ) Facial action unit AU12 (lip corner pull, blue trace) and AU06 (cheek raiser, purple trace). Video stills show the facial expression of the participant in that trial at the time of touch onset (left) and at the peak of the response at 0.86 s after touch onset (right). ( b ) Thoracic circumference. ( c ) Spectrogram of vocalization. Response latencies (solid vertical lines) were computed using the Matlab function findchangpts to find the most significant change points in mean and slope of individual traces within 1 s time-interval post touch onset.

    Article Snippet: Response latencies (solid vertical lines) were computed using the Matlab function findchangpts to find the most significant change points in mean and slope of individual traces within 1 s time-interval post touch onset.

    Techniques: Expressing