{"id":4547,"date":"2020-06-24T09:35:50","date_gmt":"2020-06-24T01:35:50","guid":{"rendered":"http:\/\/pairlabs.ai.pro6.designworks.tw\/?post_type=portfolio&#038;p=4547"},"modified":"2020-07-22T15:20:00","modified_gmt":"2020-07-22T07:20:00","slug":"a-home-based-bio-neuro-feedback-intervention-programs-integrated-system-using-artificial-intelligence-affective-computing-and-multimodal-physiological-signals-monitoring-for-patients-p-en","status":"publish","type":"portfolio","link":"https:\/\/pairlabs.ai\/en\/portfolio-item\/a-home-based-bio-neuro-feedback-intervention-programs-integrated-system-using-artificial-intelligence-affective-computing-and-multimodal-physiological-signals-monitoring-for-patients-p-en\/","title":{"rendered":"A home-based bio-neuro-feedback intervention programs integrated system using artificial intelligence affective computing and multimodal physiological signals monitoring for patients with high-risk of cardiovascular disorders"},"content":{"rendered":"<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_1' class='avia-section main_color avia-section-large avia-no-border-styling avia-full-stretch av-section-color-overlay-active avia-bg-style-fixed    av-small-hide av-mini-hide container_wrap sidebar_right' style='background-repeat: no-repeat; background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/05\/wall005.jpg);background-attachment: fixed; background-position: bottom right;  '  data-section-bg-repeat='stretch' style='background-repeat: no-repeat; background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/05\/wall005.jpg);background-attachment: fixed; background-position: bottom right;  ' ><div class='av-section-color-overlay-wrap'><div class='av-section-color-overlay' style='opacity: 0.6; background-color: #ffffff; '><\/div><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4547'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class=\"flex_column av_one_fourth  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding first   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_half  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '  style='font-size:20px; '  itemprop=\"text\" ><p style=\"text-align: center;\">Pervasive Artificial Intelligence Research (PAIR) Labs<\/p>\n<\/div><\/section><br \/>\n<div style='height:20px' class='hr hr-invisible   '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div><\/p><\/div><\/div><!--close column table wrapper. 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Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_half  flex_column_table_cell av-equal-height-column av-align-top    \" style='background-color:#00a0e9; background:linear-gradient(to bottom right,#00a0e9,#25a98f); padding:10px; border-radius:0px; '><p><div style=' margin-top:-21px; margin-bottom:0px;'  class='hr hr-custom hr-center hr-icon-yes   '><span class='hr-inner   inner-border-av-border-thin' style=' width:0px;' ><span class='hr-inner-style'><\/span><\/span><span class='av-seperator-icon' style='color:#ffffff;' aria-hidden='true' data-av_icon='\ue883' data-av_iconfont='entypo-fontello'><\/span><span class='hr-inner   inner-border-av-border-thin' style=' width:0px;' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  av_inherit_color '  style='font-size:30px; color:#ffffff; '  itemprop=\"text\" ><h1 style=\"text-align: center;\">Home care Team<\/h1>\n<\/div><\/section><\/p><\/div><\/div><!--close column table wrapper. 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Autoclose: 1 -->\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><\/div><div id='after_section_1' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4547'><div class='entry-content-wrapper clearfix'>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_2' class='avia-section main_color avia-section-large avia-no-border-styling avia-full-stretch av-section-color-overlay-active avia-bg-style-fixed    av-desktop-hide av-medium-hide container_wrap sidebar_right' style='background-repeat: no-repeat; background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/05\/wall005.jpg);background-attachment: fixed; background-position: bottom right;  '  data-section-bg-repeat='stretch' style='background-repeat: no-repeat; background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/05\/wall005.jpg);background-attachment: fixed; background-position: bottom right;  ' ><div class='av-section-color-overlay-wrap'><div class='av-section-color-overlay' style='opacity: 0.6; background-color: #ffffff; '><\/div><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4547'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class=\"flex_column av_one_fourth  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding first   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_half  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '  style='font-size:20px; '  itemprop=\"text\" ><p style=\"text-align: center;\">Pervasive Artificial Intelligence Research (PAIR) Labs<\/p>\n<\/div><\/section><br \/>\n<div style='height:1px' class='hr hr-invisible   '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div><\/p><\/div><\/div><!--close column table wrapper. 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Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_half  flex_column_table_cell av-equal-height-column av-align-top    \" style='background-color:#00a0e9; background:linear-gradient(to bottom right,#00a0e9,#25a98f); padding:10px; border-radius:0px; '><p><div style=' margin-top:-21px; margin-bottom:0px;'  class='hr hr-custom hr-center hr-icon-yes   '><span class='hr-inner   inner-border-av-border-thin' style=' width:0px;' ><span class='hr-inner-style'><\/span><\/span><span class='av-seperator-icon' style='color:#ffffff;' aria-hidden='true' data-av_icon='\ue883' data-av_iconfont='entypo-fontello'><\/span><span class='hr-inner   inner-border-av-border-thin' style=' width:0px;' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  av_inherit_color '  style='font-size:30px; color:#ffffff; '  itemprop=\"text\" ><h2 style=\"text-align: center;\">Home care Team<\/h2>\n<\/div><\/section><\/p><\/div><\/div><!--close column table wrapper. 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Autoclose: 1 -->\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><\/div><div id='after_section_2' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4547'><div class='entry-content-wrapper clearfix'>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_3' class='avia-section socket_color avia-section-default avia-no-border-styling avia-bg-style-scroll    av-arrow-down-section container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4547'><div class='entry-content-wrapper clearfix'>\n<div style='padding-bottom:0px; margin:0 0 0 0; font-size:30px;' class='av-special-heading av-special-heading-h3  blockquote modern-quote modern-centered   av-inherit-size '><h3 class='av-special-heading-tag '  itemprop=\"headline\"  >A home-based bio-neuro-feedback intervention programs integrated system using artificial intelligence affective computing and multimodal physiological signals monitoring for patients with high-risk of cardiovascular disorders<\/h3><div class='special-heading-border'><div class='special-heading-inner-border' ><\/div><\/div><\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><div class='av-extra-border-element border-extra-arrow-down'><div class='av-extra-border-outer'><div class='av-extra-border-inner'  style='background-color:#333333;' ><\/div><\/div><\/div><\/div><div id='after_section_3' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4547'><div class='entry-content-wrapper clearfix'>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_4' class='avia-section main_color avia-section-default avia-no-border-styling avia-bg-style-scroll   container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4547'><div class='entry-content-wrapper clearfix'>\n<div class=\"flex_column av_three_fifth  flex_column_div av-zero-column-padding first  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><p><strong>Principal Investigator:<\/strong><a href=\"http:\/\/pairlabs.ai\/\/en\/2019\/05\/26\/professor-i-mei-lin\/\">Professor I-Mei Lin<\/a><\/p>\n<p>&#8212;<\/p>\n<blockquote>\n<h5><b>Summary<\/b><\/h5>\n<\/blockquote>\n<p>The aim of this project is to develop an artificial intelligence (AI) platform with home-based psychological intervention programs for patients with high-risk of cardiovascular disorder. This AI platform includes the affective computing and multimodal physiological signals detection system using TSMC 28nm chip. The first subproject aims to induce anger, natural, happiness, depression and anxiety by scripts to measure physiological responses including electrocardiography (ECG), photoplethysmography (PPG), and electroencephalography (EEG). The second and third project aims to develop an integrated system of artificial intelligence affective computing and multimodal physiological signal detections. The physiological signal parameters of patients will be analyzed under different emotional states through affective computing algorithm, further providing bio-neuro-feedback treatment modules as well as evaluating the efficacy of the treatment. There are three core technologies in this project: (1) The AI affective computing and multimodal physiological signals will be administered. (2) The AI-based platform of affective computing and multimodal physiological signals detection will be developed. (3) The AI and home-based bio-neuro-feedbacks will be applied to patients with high-risk of cardiovascular disorder. This project anticipates that high-risk patients will demonstrate better autonomic nervous system activity and more relax brain waves than controls after AI home-based bio-neuro-feedback intervention.<\/p>\n<blockquote>\n<h5><b>Keywords<\/b><\/h5>\n<\/blockquote>\n<p>Artificial intelligence, affective computing, multimodal physiological signals, home-based training, bio-neuro-feedback, cardiovascular disorder, electrocardiography, photoplethysmography, electroencephalography<\/p>\n<blockquote>\n<h5><b>Innovations<\/b><\/h5>\n<\/blockquote>\n<ul>\n<li>With numerous studies published by the KMU Lab, bio-neuro-feedbacks were confirmed as an evidence-based clinical intervention. The risks of morbidity and adverse prognosis of cardiovascular diseases are expected to decrease. The hospital treatment will be transfer to home training by wearable devices with AI-platform in the future.<\/li>\n<li>The CCU Lab applied AI-based affective computing to monitor ECG, PPG and EEG signals and achieved high (&gt; 90%) accuracy in identifying different emotional states.<\/li>\n<li>AI-edge devices and chip designs have been successfully developed by NCTU Lab with optimized performances for wearable systems. This project can significantly impact and improve the quality and portability of medical grade home-based devices and treatments.<\/li>\n<\/ul>\n<\/div><\/section><\/div><div class=\"flex_column av_two_fifth  flex_column_div av-zero-column-padding   \" style='border-radius:0px; '><p><div class='avia-progress-bar-container  av-desktop-hide av-medium-hide av-small-hide av-mini-hide avia_animate_when_almost_visible   av-striped-bar av-animated-bar '><div class='avia-progress-bar theme-color-bar icon-bar-no'><div class='progressbar-title-wrap'><div class='progressbar-icon'><span class='progressbar-char' aria-hidden='true' data-av_icon='\ue856' data-av_iconfont='entypo-fontello'><\/span><\/div><div class='progressbar-title'>Type 1<\/div><\/div><div class='progress' ><div class='bar-outer'><div class='bar' style='width: 91%' data-progress='91'><\/div><\/div><\/div><\/div><div class='avia-progress-bar theme-color-bar icon-bar-no'><div class='progressbar-title-wrap'><div class='progressbar-icon'><span class='progressbar-char' aria-hidden='true' data-av_icon='\ue856' data-av_iconfont='entypo-fontello'><\/span><\/div><div class='progressbar-title'>Type 2<\/div><\/div><div class='progress' ><div class='bar-outer'><div class='bar' style='width: 86%' data-progress='86'><\/div><\/div><\/div><\/div><div class='avia-progress-bar theme-color-bar icon-bar-no'><div class='progressbar-title-wrap'><div class='progressbar-icon'><span class='progressbar-char' aria-hidden='true' data-av_icon='\ue856' data-av_iconfont='entypo-fontello'><\/span><\/div><div class='progressbar-title'>Type 3<\/div><\/div><div class='progress' ><div class='bar-outer'><div class='bar' style='width: 97%' data-progress='97'><\/div><\/div><\/div><\/div><div class='avia-progress-bar theme-color-bar icon-bar-no'><div class='progressbar-title-wrap'><div class='progressbar-icon'><span class='progressbar-char' aria-hidden='true' data-av_icon='\ue856' data-av_iconfont='entypo-fontello'><\/span><\/div><div class='progressbar-title'>Type 4<\/div><\/div><div class='progress' ><div class='bar-outer'><div class='bar' style='width: 85%' data-progress='85'><\/div><\/div><\/div><\/div><\/div><br \/>\n<div style='height:20px' class='hr hr-invisible   '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<div id='av-masonry-1' class='av-masonry  noHover av-fixed-size av-no-gap av-hover-overlay- av-masonry-animation-active av-masonry-col-2 av-caption-always av-caption-style- av-masonry-gallery   av-orientation-portrait   av-medium-columns-overwrite av-medium-columns-2 av-small-columns-overwrite av-small-columns-2 av-mini-columns-overwrite av-mini-columns-2'  ><div class='av-masonry-container isotope av-js-disabled ' ><div class='av-masonry-entry isotope-item av-masonry-item-no-image '><\/div><a href=\"https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/06\/\u6797\u5b9c\u7f8e-1-773x1030.jpg\" id='av-masonry-1-item-5163' data-av-masonry-item='5163' class='av-masonry-entry isotope-item post-5163 attachment type-attachment status-inherit hentry  av-masonry-item-with-image' title=\"\u6797\u5b9c\u7f8e\"  itemprop=\"thumbnailUrl\" ><div class='av-inner-masonry-sizer'><\/div><figure class='av-inner-masonry main_color'><div class=\"av-masonry-outerimage-container\"><div class=\"av-masonry-image-container\" style=\"background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/06\/\u6797\u5b9c\u7f8e-1-529x705.jpg);\" title=\"\u6797\u5b9c\u7f8e\" ><\/div><\/div><\/figure><\/a><!--end av-masonry entry--><\/div><\/div><\/p><\/div><\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_4' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4547'><div class='entry-content-wrapper clearfix'><\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_5' class='avia-section alternate_color avia-section-default avia-no-border-styling avia-bg-style-scroll    container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4547'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class=\"flex_column av_two_fifth  flex_column_table_cell av-equal-height-column av-align-middle av-zero-column-padding first   \" style='border-radius:0px; 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