{"id":140,"date":"2021-11-05T14:27:49","date_gmt":"2021-11-05T14:27:49","guid":{"rendered":"https:\/\/digihealth-asia.eu\/?page_id=140"},"modified":"2024-12-17T10:30:43","modified_gmt":"2024-12-17T10:30:43","slug":"pilot-cases","status":"publish","type":"page","link":"https:\/\/digihealth-asia.eu\/index.php\/pilot-cases\/","title":{"rendered":"Pilot Cases"},"content":{"rendered":"\n<p>Three&nbsp;exciting&nbsp;pilot cases&nbsp;are&nbsp;developed&nbsp;in&nbsp;DigiHealth-Asia&nbsp;that&nbsp;reduce the burden on the healthcare sector in&nbsp;Pakistan, Thailand, and Mongolia.&nbsp;The pilot cases will&nbsp;improve&nbsp;the&nbsp;healthcare services by&nbsp;providing a) cost effective&nbsp;healthcare services, b) reduce unnecessary visits to doctors and hospitals, c)&nbsp;build a health relation between the doctors and patients.&nbsp;&nbsp;<\/p>\n\n\n\n<p>These pilot cases will be used in the&nbsp;specialized courses&nbsp;such as IoT for healthcare,&nbsp;AI\/ML for healthcare, and embedded systems for healthcare&nbsp;that will be commenced&nbsp;within&nbsp;the project&nbsp;duration&nbsp;at the partner universities in Pakistan, Thailand, and Mongolia.&nbsp;&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">1. <strong>Remote&nbsp;monitoring of cardiovascular patients&nbsp;<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"NUST TeleCardio promo video\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/-3ux8Rlsdbg?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"726\" src=\"https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-1024x726.png\" alt=\"Diagram\nDescription automatically generated\" class=\"wp-image-141\" style=\"width:1014px;height:718px\" srcset=\"https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-1024x726.png 1024w, https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-300x213.png 300w, https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-768x545.png 768w, https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image.png 1282w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">NUST&nbsp;architecture&nbsp;<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"380\" src=\"https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-1-1024x380.png\" alt=\"Diagram\n\nDescription automatically generated\" class=\"wp-image-142\" style=\"width:1049px;height:389px\" srcset=\"https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-1-1024x380.png 1024w, https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-1-300x111.png 300w, https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-1-768x285.png 768w, https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-1.png 1081w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">CUST architecture&nbsp;<\/figcaption><\/figure>\n\n\n\n<p>Key characteristics&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The&nbsp;raw&nbsp;sensor data is transferred to the edge using a short-range communication protocol such as Bluetooth or&nbsp;WiFi&nbsp;<\/li>\n\n\n\n<li>The&nbsp;raw data is sent to the cloud for performing&nbsp;Machine Learning&nbsp;and Artificial Intelligence&nbsp;training&nbsp;and storage.&nbsp;&nbsp;<\/li>\n\n\n\n<li>A trained model is transferred to the edge for performing local&nbsp;Machine Learning and Artificial&nbsp;Intelligence&nbsp;interference&nbsp;&nbsp;<\/li>\n\n\n\n<li>In case of abnormality in the patient data, an alarm is generated&nbsp;for&nbsp;the caregivers&nbsp;including&nbsp;relatives, doctors,&nbsp;local hospitals, local drug store, etc.&nbsp;<\/li>\n\n\n\n<li>The raw data and the trained model output&nbsp;are&nbsp;displayed on a web-based GUI for doctors&nbsp;for making efficient and precise diagnosis and treatment plan.&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">2. <strong>Remote monitoring of mobility disorder patients&nbsp;<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"CMU Pilot case 2  Mobility Disorder\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/LCY_9Y_vyhA?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"MFU Pilot Case 2\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/slEkZGbi45M?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"544\" src=\"https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-3-1024x544.png\" alt=\"Diagram, logo\nDescription automatically generated with medium confidence\" class=\"wp-image-144\" style=\"width:766px;height:407px\" srcset=\"https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-3-1024x544.png 1024w, https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-3-300x159.png 300w, https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-3-768x408.png 768w, https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-3.png 1335w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">CMU and MFU architecture&nbsp;&nbsp;<\/figcaption><\/figure>\n\n\n\n<p>Key characteristics:&nbsp;&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>MFU focuses on fall risk assessment of the elderly through the physical performance evaluation.&nbsp;The evaluation is done through MFU IoT equipment&nbsp;which transfers the raw data&nbsp;to the MFU server through Internet.&nbsp;&nbsp;<\/li>\n\n\n\n<li>CMU&nbsp;focuses on&nbsp;physical training and monitoring of the elderly&nbsp;through&nbsp;a smart watch.&nbsp;&nbsp;<\/li>\n\n\n\n<li>The raw dataset at the MFU and CMU servers is used by&nbsp;their researchers for&nbsp;the&nbsp;training of Machine Learning\/Artificial Intelligence&nbsp;models&nbsp;which run at the cloud and the edge.&nbsp;<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">3. <strong>Remote consultation of patients&nbsp;<\/strong><\/h2>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"517\" src=\"https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-2-1024x517.png\" alt=\"Diagram\nDescription automatically generated\" class=\"wp-image-143\" style=\"width:772px;height:389px\" srcset=\"https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-2-1024x517.png 1024w, https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-2-300x151.png 300w, https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-2-768x388.png 768w, https:\/\/digihealth-asia.eu\/wp-content\/uploads\/2021\/11\/image-2.png 1062w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">NUM and MNUMS architecture&nbsp;<\/figcaption><\/figure>\n\n\n\n<p>Key characteristics:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>NUM and MNUMS pilot case&nbsp;is&nbsp;on remote consultation&nbsp;for dentistry&nbsp;<\/li>\n\n\n\n<li>Dentists&nbsp;take image of patients through an intraoral camera&nbsp;and send them to the edge along with a professional diagnosis&nbsp;using&nbsp;WiFi, Bluetooth, etc.&nbsp;&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>After filtering&nbsp;and pre-processing, the data is sent to the cloud server&nbsp;where a Machine Learning&nbsp;and Artificial Intelligence&nbsp;model&nbsp;is trained&nbsp;from the captured dataset and other datasets available on the Internet.&nbsp;<\/li>\n\n\n\n<li>From the trained model, a report&nbsp;is&nbsp;generated for the dentist which helps him\/her for making efficient diagnosis and&nbsp;treatment plan.&nbsp;&nbsp;<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Three&nbsp;exciting&nbsp;pilot cases&nbsp;are&nbsp;developed&nbsp;in&nbsp;DigiHealth-Asia&nbsp;that&nbsp;reduce the burden on the healthcare sector in&nbsp;Pakistan, Thailand, and Mongolia.&nbsp;The pilot cases will&nbsp;improve&nbsp;the&nbsp;healthcare services by&nbsp;providing a) cost effective&nbsp;healthcare services, b) reduce unnecessary visits to doctors and hospitals, c)&nbsp;build a health relation between the doctors and patients.&nbsp;&nbsp; These pilot cases will be used in the&nbsp;specialized courses&nbsp;such as IoT for healthcare,&nbsp;AI\/ML for healthcare, and embedded [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-140","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/digihealth-asia.eu\/index.php\/wp-json\/wp\/v2\/pages\/140","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/digihealth-asia.eu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/digihealth-asia.eu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/digihealth-asia.eu\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/digihealth-asia.eu\/index.php\/wp-json\/wp\/v2\/comments?post=140"}],"version-history":[{"count":5,"href":"https:\/\/digihealth-asia.eu\/index.php\/wp-json\/wp\/v2\/pages\/140\/revisions"}],"predecessor-version":[{"id":375,"href":"https:\/\/digihealth-asia.eu\/index.php\/wp-json\/wp\/v2\/pages\/140\/revisions\/375"}],"wp:attachment":[{"href":"https:\/\/digihealth-asia.eu\/index.php\/wp-json\/wp\/v2\/media?parent=140"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}