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	<title>Projects - Biomedical Engineering Institute | KTU</title>
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	<link>https://biomedicine.ktu.edu/projects/</link>
	<description>KTU</description>
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	<item>
		<title>Biomedical Engineering for Advanced Therapies &#8211; Smart Hearts, Strong Communities (SEED BEAT)</title>
		<link>https://biomedicine.ktu.edu/projects/biomedical-engineering-for-advanced-therapies-smart-hearts-strong-communities-seed-beat/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Tue, 03 Mar 2026 00:23:45 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/biomedical-engineering-for-advanced-therapies-smart-hearts-strong-communities-seed-beat/</guid>

					<description><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/biomedical-engineering-for-advanced-therapies-smart-hearts-strong-communities-seed-beat/">Biomedical Engineering for Advanced Therapies &#8211; Smart Hearts, Strong Communities (SEED BEAT)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/biomedical-engineering-for-advanced-therapies-smart-hearts-strong-communities-seed-beat/">Biomedical Engineering for Advanced Therapies &#8211; Smart Hearts, Strong Communities (SEED BEAT)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Development of machine learning methods for automatic generation of personalized 3D medical models and pre-operative planning and their experimental application by extending the functionality of the 3D Web platforms MICE and Smart3Dworks</title>
		<link>https://biomedicine.ktu.edu/projects/development-of-machine-learning-methods-for-automatic-generation-of-personalized-3d-medical-models-and-pre-operative-planning-and-their-experimental-application-by-extending-the-functionality-of-the-3/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:44 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/development-of-machine-learning-methods-for-automatic-generation-of-personalized-3d-medical-models-and-pre-operative-planning-and-their-experimental-application-by-extending-the-functionality-of-the-3/</guid>

					<description><![CDATA[<p>Millions of orthopedic, neurosurgical, and maxillofacial surgeries are performed globally each year, with implants being utilized in the vast majority of these procedures. While standard implants currently dominate the market (used in 97-98% of cases), the share of personalized implants is gradually increasing and is statistically projected to reach 10% of all surgical operations in [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/development-of-machine-learning-methods-for-automatic-generation-of-personalized-3d-medical-models-and-pre-operative-planning-and-their-experimental-application-by-extending-the-functionality-of-the-3/">Development of machine learning methods for automatic generation of personalized 3D medical models and pre-operative planning and their experimental application by extending the functionality of the 3D Web platforms MICE and Smart3Dworks</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/development-of-machine-learning-methods-for-automatic-generation-of-personalized-3d-medical-models-and-pre-operative-planning-and-their-experimental-application-by-extending-the-functionality-of-the-3/">Development of machine learning methods for automatic generation of personalized 3D medical models and pre-operative planning and their experimental application by extending the functionality of the 3D Web platforms MICE and Smart3Dworks</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Development and integration of tools and technologies for post-stroke rehabilitation into clinical practice</title>
		<link>https://biomedicine.ktu.edu/projects/development-and-integration-of-tools-and-technologies-for-post-stroke-rehabilitation-into-clinical-practice/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:42 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/development-and-integration-of-tools-and-technologies-for-post-stroke-rehabilitation-into-clinical-practice/</guid>

					<description><![CDATA[<p>More than 12 million people suffer a stroke every year. It is estimated that about a quarter of all people will have a stroke in their lifetime. The cases and consequences of a stroke are very different: cases vary by severity, type, co-morbidities, complications, age of the patient, level of impairment of health and other [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/development-and-integration-of-tools-and-technologies-for-post-stroke-rehabilitation-into-clinical-practice/">Development and integration of tools and technologies for post-stroke rehabilitation into clinical practice</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/development-and-integration-of-tools-and-technologies-for-post-stroke-rehabilitation-into-clinical-practice/">Development and integration of tools and technologies for post-stroke rehabilitation into clinical practice</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Developing a Wearable-Guided Paradigm for Deciphering a Personal Arrhythmogenic Chain in Paroxysmal Atrial Fibrillation (decipherAF)</title>
		<link>https://biomedicine.ktu.edu/projects/developing-a-wearable-guided-paradigm-for-deciphering-a-personal-arrhythmogenic-chain-in-paroxysmal-atrial-fibrillation-decipheraf/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:40 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/developing-a-wearable-guided-paradigm-for-deciphering-a-personal-arrhythmogenic-chain-in-paroxysmal-atrial-fibrillation-decipheraf/</guid>

					<description><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/developing-a-wearable-guided-paradigm-for-deciphering-a-personal-arrhythmogenic-chain-in-paroxysmal-atrial-fibrillation-decipheraf/">Developing a Wearable-Guided Paradigm for Deciphering a Personal Arrhythmogenic Chain in Paroxysmal Atrial Fibrillation (decipherAF)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/developing-a-wearable-guided-paradigm-for-deciphering-a-personal-arrhythmogenic-chain-in-paroxysmal-atrial-fibrillation-decipheraf/">Developing a Wearable-Guided Paradigm for Deciphering a Personal Arrhythmogenic Chain in Paroxysmal Atrial Fibrillation (decipherAF)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Non-invasive methods for monitoring cardio-renal function in heart failure patients (healtHFulness)</title>
		<link>https://biomedicine.ktu.edu/projects/non-invasive-methods-for-monitoring-cardio-renal-function-in-heart-failure-patients-healthfulness/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:39 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/non-invasive-methods-for-monitoring-cardio-renal-function-in-heart-failure-patients-healthfulness/</guid>

					<description><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/non-invasive-methods-for-monitoring-cardio-renal-function-in-heart-failure-patients-healthfulness/">Non-invasive methods for monitoring cardio-renal function in heart failure patients (healtHFulness)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/non-invasive-methods-for-monitoring-cardio-renal-function-in-heart-failure-patients-healthfulness/">Non-invasive methods for monitoring cardio-renal function in heart failure patients (healtHFulness)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Wearable technology for immediate detection of acute myocardial infarction: Towards an application in the out-of-hospital environment (DetectMI)</title>
		<link>https://biomedicine.ktu.edu/projects/wearable-technology-for-immediate-detection-of-acute-myocardial-infarction-towards-an-application-in-the-out-of-hospital-environment-detectmi/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:37 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/wearable-technology-for-immediate-detection-of-acute-myocardial-infarction-towards-an-application-in-the-out-of-hospital-environment-detectmi/</guid>

					<description><![CDATA[<p>According to a Eurostat report, myocardial infarction is the leading cause of preventable deaths in people under 75 years old. Every minute from the first symptoms to interventional treatment counts. Unfortunately, myocardial infarction often goes undetected or is diagnosed too late due to the reluctance of some individuals to seek medical examination. This becomes a [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/wearable-technology-for-immediate-detection-of-acute-myocardial-infarction-towards-an-application-in-the-out-of-hospital-environment-detectmi/">Wearable technology for immediate detection of acute myocardial infarction: Towards an application in the out-of-hospital environment (DetectMI)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/wearable-technology-for-immediate-detection-of-acute-myocardial-infarction-towards-an-application-in-the-out-of-hospital-environment-detectmi/">Wearable technology for immediate detection of acute myocardial infarction: Towards an application in the out-of-hospital environment (DetectMI)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Deep-learning-based QRS-T angle estimation for bloodless electrolyte monitoring in heart failure (smartQRST)</title>
		<link>https://biomedicine.ktu.edu/projects/deep-learning-based-qrs-t-angle-estimation-for-bloodless-electrolyte-monitoring-in-heart-failure-smartqrst/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:36 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/deep-learning-based-qrs-t-angle-estimation-for-bloodless-electrolyte-monitoring-in-heart-failure-smartqrst/</guid>

					<description><![CDATA[<p>Heart failure (HF) is a complex disease with high-mortality rates, affecting 64.3 million people worldwide, with a median prevalence of 1.72% in Europe and 3.9% in Lithuania. Electrolyte imbalance is a common pro-arrhythmogenic complication of HF with the potential to instigate sudden cardiac death if not promptly corrected. Unfortunately, electrolyte imbalance is usually silent and [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/deep-learning-based-qrs-t-angle-estimation-for-bloodless-electrolyte-monitoring-in-heart-failure-smartqrst/">Deep-learning-based QRS-T angle estimation for bloodless electrolyte monitoring in heart failure (smartQRST)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/deep-learning-based-qrs-t-angle-estimation-for-bloodless-electrolyte-monitoring-in-heart-failure-smartqrst/">Deep-learning-based QRS-T angle estimation for bloodless electrolyte monitoring in heart failure (smartQRST)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Computerized system for personalized heart rate regulation modelling and research</title>
		<link>https://biomedicine.ktu.edu/projects/computerized-system-for-personalized-heart-rate-regulation-modelling-and-research/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:34 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/computerized-system-for-personalized-heart-rate-regulation-modelling-and-research/</guid>

					<description><![CDATA[<p>The development of a computerized system in the MATLAB environment that integrates the hitherto accumulated knowledge of the psychophysiological mechanisms of heart rate regulation in the form of a formalized personalized model may facilitate further research and reveal new features of heart rate regulation that would be useful in practice. The computer system could be [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/computerized-system-for-personalized-heart-rate-regulation-modelling-and-research/">Computerized system for personalized heart rate regulation modelling and research</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/computerized-system-for-personalized-heart-rate-regulation-modelling-and-research/">Computerized system for personalized heart rate regulation modelling and research</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Uncertainty quantification for machine learning models applied to photoplethysmography signals (QUMPHY )</title>
		<link>https://biomedicine.ktu.edu/projects/uncertainty-quantification-for-machine-learning-models-applied-to-photoplethysmography-signals-qumphy/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:32 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/uncertainty-quantification-for-machine-learning-models-applied-to-photoplethysmography-signals-qumphy/</guid>

					<description><![CDATA[<p>Photoplethysmography (PPG) sensors are already widely used in smart wearable devices, wristbands, and watches because of their user-friendliness, simplicity, and low cost. Until now, the usage of PPG has been mostly limited to heart rate monitoring, but these signals have the potential to provide much more information about human physiology and health than currently being [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/uncertainty-quantification-for-machine-learning-models-applied-to-photoplethysmography-signals-qumphy/">Uncertainty quantification for machine learning models applied to photoplethysmography signals (QUMPHY )</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/uncertainty-quantification-for-machine-learning-models-applied-to-photoplethysmography-signals-qumphy/">Uncertainty quantification for machine learning models applied to photoplethysmography signals (QUMPHY )</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>A federated paradigm of real-world data sources utilization for the empowerment of diagnosis, prognosis and risk assessment of cardiovascular conditions (CVDLINK)</title>
		<link>https://biomedicine.ktu.edu/projects/a-federated-paradigm-of-real-world-data-sources-utilization-for-the-empowerment-of-diagnosis-prognosis-and-risk-assessment-of-cardiovascular-conditions-cvdlink/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:30 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/a-federated-paradigm-of-real-world-data-sources-utilization-for-the-empowerment-of-diagnosis-prognosis-and-risk-assessment-of-cardiovascular-conditions-cvdlink/</guid>

					<description><![CDATA[<p>The project &#8220;CVDLINK: A federated paradigm of real-world data sources utilization for the empowerment of diagnosis, prognosis and risk assessment of cardiovascular conditions&#8221; brings together 19 partners from 10 European countries and Israel. The project is coordinated by SIMAVI, a Romanian advanced software company; other project partners include universities, research institutes, and companies from Lithuania, [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/a-federated-paradigm-of-real-world-data-sources-utilization-for-the-empowerment-of-diagnosis-prognosis-and-risk-assessment-of-cardiovascular-conditions-cvdlink/">A federated paradigm of real-world data sources utilization for the empowerment of diagnosis, prognosis and risk assessment of cardiovascular conditions (CVDLINK)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/a-federated-paradigm-of-real-world-data-sources-utilization-for-the-empowerment-of-diagnosis-prognosis-and-risk-assessment-of-cardiovascular-conditions-cvdlink/">A federated paradigm of real-world data sources utilization for the empowerment of diagnosis, prognosis and risk assessment of cardiovascular conditions (CVDLINK)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Wearable Continuous Point-of-Care Monitoring, Risk Estimation and Prevention for Deep Vein Thrombosis (ThrombUS)</title>
		<link>https://biomedicine.ktu.edu/projects/wearable-continuous-point-of-care-monitoring-risk-estimation-and-prevention-for-deep-vein-thrombosis-thrombus/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:29 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/wearable-continuous-point-of-care-monitoring-risk-estimation-and-prevention-for-deep-vein-thrombosis-thrombus/</guid>

					<description><![CDATA[<p>The project &#8216;ThrombUS+: Wearable Continuous Point-of-Care Monitoring, Risk Estimation, and Prevention for Deep Vein Thrombosis&#8217; is funded by the EU&#8217;s research and innovation programme &#8216;Horizon Europe&#8217; and involves 18 partners from Greece, Lithuania, France, Germany, the USA, Italy, Finland, and Spain. It is coordinated by ATHENA, a Greek research and innovation center. The project&#8217;s duration [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/wearable-continuous-point-of-care-monitoring-risk-estimation-and-prevention-for-deep-vein-thrombosis-thrombus/">Wearable Continuous Point-of-Care Monitoring, Risk Estimation and Prevention for Deep Vein Thrombosis (ThrombUS)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/wearable-continuous-point-of-care-monitoring-risk-estimation-and-prevention-for-deep-vein-thrombosis-thrombus/">Wearable Continuous Point-of-Care Monitoring, Risk Estimation and Prevention for Deep Vein Thrombosis (ThrombUS)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Development of the healthy aging solution</title>
		<link>https://biomedicine.ktu.edu/projects/development-of-the-healthy-aging-solution/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:28 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/development-of-the-healthy-aging-solution/</guid>

					<description><![CDATA[<p>As the elderly population grows, the need for elderly care and health care costs increases. The project &#8220;Development of the healthy aging solution&#8221; is aimed at finding a convenient technical solution for monitoring the health status of the elderly, responding to the growing demand for care services for the elderly, by creating a prototype of [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/development-of-the-healthy-aging-solution/">Development of the healthy aging solution</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/development-of-the-healthy-aging-solution/">Development of the healthy aging solution</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Prototype of a dynamic lower jaw movements recorder with occlusive analysis function</title>
		<link>https://biomedicine.ktu.edu/projects/prototype-of-a-dynamic-lower-jaw-movements-recorder-with-occlusive-analysis-function/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:27 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/prototype-of-a-dynamic-lower-jaw-movements-recorder-with-occlusive-analysis-function/</guid>

					<description><![CDATA[<p>The aim of the project is to create a prototype of the lower jaw motion recorder with the function of occlusal analysis. A wireless device based on the inertial-magnetic method, continuously recording jaw movement and tooth contact (occlusion) would open wide possibilities in the study of the physiological function and parafunctions of jaw movements. The [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/prototype-of-a-dynamic-lower-jaw-movements-recorder-with-occlusive-analysis-function/">Prototype of a dynamic lower jaw movements recorder with occlusive analysis function</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/prototype-of-a-dynamic-lower-jaw-movements-recorder-with-occlusive-analysis-function/">Prototype of a dynamic lower jaw movements recorder with occlusive analysis function</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Investigation of radiofrequency based ultrasonic strain elastograpy algorithms (ELASTUS)</title>
		<link>https://biomedicine.ktu.edu/projects/investigation-of-radiofrequency-based-ultrasonic-strain-elastograpy-algorithms-elastus/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:26 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/investigation-of-radiofrequency-based-ultrasonic-strain-elastograpy-algorithms-elastus/</guid>

					<description><![CDATA[<p>The project ELASTUS aims to develop and investigate innovative ultrasonic strain elastography algorithms for the application of dynamic heterogeneous media for diagnostic applications without requiring the rearrangement of the hardware part of the echoscopes. The main research objective of the project is to investigate the interaction between ultrasonic radio-frequency (RF) waves and inhomogeneous media with [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/investigation-of-radiofrequency-based-ultrasonic-strain-elastograpy-algorithms-elastus/">Investigation of radiofrequency based ultrasonic strain elastograpy algorithms (ELASTUS)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/investigation-of-radiofrequency-based-ultrasonic-strain-elastograpy-algorithms-elastus/">Investigation of radiofrequency based ultrasonic strain elastograpy algorithms (ELASTUS)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Strengthening Social Capacities for the Utilisation of eHealth Technologies in the Framework of Ageing Population (ICT for Health)</title>
		<link>https://biomedicine.ktu.edu/projects/strengthening-social-capacities-for-the-utilisation-of-ehealth-technologies-in-the-framework-of-ageing-population-ict-for-health/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:25 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/strengthening-social-capacities-for-the-utilisation-of-ehealth-technologies-in-the-framework-of-ageing-population-ict-for-health/</guid>

					<description><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/strengthening-social-capacities-for-the-utilisation-of-ehealth-technologies-in-the-framework-of-ageing-population-ict-for-health/">Strengthening Social Capacities for the Utilisation of eHealth Technologies in the Framework of Ageing Population (ICT for Health)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/strengthening-social-capacities-for-the-utilisation-of-ehealth-technologies-in-the-framework-of-ageing-population-ict-for-health/">Strengthening Social Capacities for the Utilisation of eHealth Technologies in the Framework of Ageing Population (ICT for Health)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Interpretable Machine Learning for Assessing Frailty Syndrome (intFrail)</title>
		<link>https://biomedicine.ktu.edu/projects/interpretable-machine-learning-for-assessing-frailty-syndrome-intfrail/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:24 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/interpretable-machine-learning-for-assessing-frailty-syndrome-intfrail/</guid>

					<description><![CDATA[<p>Frailty syndrome is becoming a major challenge of the aging society. The prevalence of frailty is 17% whereas prefrailty may affect up to 60% of those over 65 years old. Frailty is a progressive impairment of physiological systems leading to reduced physical reserves which cause susceptibility to internal (e.g., surgery, comorbidities) and external (e.g., physical [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/interpretable-machine-learning-for-assessing-frailty-syndrome-intfrail/">Interpretable Machine Learning for Assessing Frailty Syndrome (intFrail)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/interpretable-machine-learning-for-assessing-frailty-syndrome-intfrail/">Interpretable Machine Learning for Assessing Frailty Syndrome (intFrail)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Prototype of a wearable electronic system for human hydration changes monitoring</title>
		<link>https://biomedicine.ktu.edu/projects/prototype-of-a-wearable-electronic-system-for-human-hydration-changes-monitoring/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:22 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/prototype-of-a-wearable-electronic-system-for-human-hydration-changes-monitoring/</guid>

					<description><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/prototype-of-a-wearable-electronic-system-for-human-hydration-changes-monitoring/">Prototype of a wearable electronic system for human hydration changes monitoring</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/prototype-of-a-wearable-electronic-system-for-human-hydration-changes-monitoring/">Prototype of a wearable electronic system for human hydration changes monitoring</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Unobtrusive technologies for monitoring of autonomic nervous system function in patients with frailty syndrome</title>
		<link>https://biomedicine.ktu.edu/projects/unobtrusive-technologies-for-monitoring-of-autonomic-nervous-system-function-in-patients-with-frailty-syndrome/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:21 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/unobtrusive-technologies-for-monitoring-of-autonomic-nervous-system-function-in-patients-with-frailty-syndrome/</guid>

					<description><![CDATA[<p>Frailty syndrome is becoming a major challenge of the aging population. The prevalence of frailty is 17%, whereas pre-frailty may affect up to 60% of individuals ? 65 years. Due to reduced physiological reserve, frail individuals are susceptible to chronic and acute heart diseases, as well as to surgical interventions, which are followed by a [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/unobtrusive-technologies-for-monitoring-of-autonomic-nervous-system-function-in-patients-with-frailty-syndrome/">Unobtrusive technologies for monitoring of autonomic nervous system function in patients with frailty syndrome</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/unobtrusive-technologies-for-monitoring-of-autonomic-nervous-system-function-in-patients-with-frailty-syndrome/">Unobtrusive technologies for monitoring of autonomic nervous system function in patients with frailty syndrome</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Objective Assessment of Physiological Response to Pain Using Machine Learning Technologies (pAInLESS)</title>
		<link>https://biomedicine.ktu.edu/projects/objective-assessment-of-physiological-response-to-pain-using-machine-learning-technologies-painless/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:20 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/objective-assessment-of-physiological-response-to-pain-using-machine-learning-technologies-painless/</guid>

					<description><![CDATA[<p>Acute pain is one of the most important protective reactions related to the restriction of physical functions. This is an important public health issue and one of the main complaints of patients seeking medical attention. As many as 95% of people experience acute or prolonged pain on their own or in their immediate environment. Pain [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/objective-assessment-of-physiological-response-to-pain-using-machine-learning-technologies-painless/">Objective Assessment of Physiological Response to Pain Using Machine Learning Technologies (pAInLESS)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/objective-assessment-of-physiological-response-to-pain-using-machine-learning-technologies-painless/">Objective Assessment of Physiological Response to Pain Using Machine Learning Technologies (pAInLESS)</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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		<title>Wearable technology for personalized identification and management of paroxysmal atrial fibrillation triggers – TriggersAF</title>
		<link>https://biomedicine.ktu.edu/projects/wearable-technology-for-personalized-identification-and-management-of-paroxysmal-atrial-fibrillation-triggers-triggersaf/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Thu, 11 Dec 2025 11:54:19 +0000</pubDate>
				<guid isPermaLink="false">https://biomedicine.ktu.edu/projects/wearable-technology-for-personalized-identification-and-management-of-paroxysmal-atrial-fibrillation-triggers-triggersaf/</guid>

					<description><![CDATA[<p>Atrial fibrillation (AF) is the most common arrhythmia diagnosed in 33 million people worldwide. AF is a progressive disease that initially manifests as spontaneously intermittent paroxysmal episodes (PAFs), forming individual profiles of the time distribution of PAF episodes. These profiles are thought to carry information about disease progression and complications. Causes of AF episodes (triggers) [&#8230;]</p>
<p>The post <a href="https://biomedicine.ktu.edu/projects/wearable-technology-for-personalized-identification-and-management-of-paroxysmal-atrial-fibrillation-triggers-triggersaf/">Wearable technology for personalized identification and management of paroxysmal atrial fibrillation triggers – TriggersAF</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>The post <a href="https://biomedicine.ktu.edu/projects/wearable-technology-for-personalized-identification-and-management-of-paroxysmal-atrial-fibrillation-triggers-triggersaf/">Wearable technology for personalized identification and management of paroxysmal atrial fibrillation triggers – TriggersAF</a> appeared first on <a href="https://biomedicine.ktu.edu">Biomedical Engineering Institute</a>.</p>
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