Trajkovikj, Vladimir
Preferred name
Trajkovikj, Vladimir
Official Name
Trajkovikj, Vladimir
Alternative Name
Trajkovik, Vladimir
Main Affiliation
Email
vladimir.trajkovik@finki.ukim.mk
94 results
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Item type:Publication, Mobile wireless monitoring system for prehospital emergency care(Springer Science and Business Media LLC, 2019-04-05); ; Strahovnik, AndrejLatest achievement technologies allow engineers to develop medical systems that medical doctors in the health care system could not imagine years ago. The development of signal theory, intelligent systems, biophysics and extensive collaboration between science and technology researchers and medical professionals, open up the potential for preventive, real-time monitoring of patients. With the recent developments of new methods in medicine, it is also possible to predict the trends of the disease development as well the systemic support in diagnose setting. Within the framework of the needs to track the patient health parameters in the hospital environment or in the case of road accidents, the researchers had to integrate the knowledge and experiences of medical specialists in emergency medicine who have participated in the development of a mobile wireless monitoring system designed for real-time monitoring of victim vital parameters. Emergency medicine responders are first point of care for trauma victim providing prehospital care, including triage and treatment at the scene of incident and transport from the scene to the hospital. Continuous monitoring of life functions allows immediate detection of a deterioration in health status and helps out in carrying out principle of continuous e-triage. In this study, a mobile wireless monitoring system for measuring and recording the vital parameters of the patient was presented and evaluated. Based on the measured values, the system is able to make triage and assign treatment priority for the patient. The system also provides the opportunity to take a picture of the injury, mark the injured body parts, calculate Glasgow Coma Score, or insert/record the medication given to the patient. Evaluation of the system was made using the Technology Acceptance Model (TAM). In particular we measured: perceived usefulness, perceived ease of use, attitude, intention to use, patient status and environmental status. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Air pollution data: A dataset gathered through a crowd sensing platform(2015-01-14); ; This is a dataset on air pollution monitoring sourced from a crowd-sensing IoT platform. The dataset includes real-time data on various pollutants, including PM2.5, PM10, and NO2 levels, along with atmospheric data such as humidity and temperature. This data is collected across multiple urban locations in Skopje, North Macedonia. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Technological Solutions for Older People with Alzheimer's Disease: Review(Bentham Science Publishers Ltd., 2018-04-27); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Cloud-Based Electronic Health Record for Health Data Exchange(Prof. Sasho Korunovski, PhD, Rector “St Kliment Ohridski” University - Bitola Republic of Macedonia, 2018-10-05); ; This paper proposes a model for an Electronic Health Record for Health Data Exchange based on a SaaS (Software as a service) service model developed on top of cloud computing technology. Service oriented architecture (SOA) and SaaS enable establishment of service model by leveraging the benefits of both. In the proposed model EHRs are stored in the cloud, and can be accessed through a web portal or background web services through SOA. The system is using Health Level Seven International (HL7) standard and is capable of storing information on: healthcare processes, resources, users and authorization, also capable of recording of all data on the patient history, diagnostic test data, therapy, decisions request for further investigations, and treatment. The system is set up to support the use of technologies, decision support and management plans. Owners of EHRs are responsible for generating access policies based on the attributes of authorized healthcare providers, encrypting EHRs and uploading encrypted EHRs, digital signing of all request for getting data and digital signing of response into the cloud. EHRs is organized into a hierarchical data structure, which give possibilities to share different parts of the EHR making our model more flexible. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Information System for Biosensors Data Exchange in Healthcare(Springer International Publishing, 2017-10-12); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, LoCLoP: Low-cost/Low-processing Power Methodology for Deriving Heart Rate and Respiratory Rate in Time-critical Domain(IEEE, 2019-07); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Automated triage parameters estimation from ECG(2018-01-01); ; ; Low-cost biosensors combined with low-cost portable devices can be very useful in time critical situations of mass casualties, when fast triage procedure must be attained. A methodology that uses ECG to derive the vital parameters (heart rate and respiratory rate) needed for the triage procedure is presented and it is aimed to leverage affordable low-cost equipment that can be easily utilized by urgent medical units or even volunteers in events of considerable number of injured civilians. The methodology relies on selected well-known and published algorithms for heart rate and respiratory rate derivation from a given ECG signal. It consists of methods for R-wave detection, kurtosis computation, smoothing, and finding peaks. The proposed approach is shown to offer a good trade-off between the accurate measurement of the parameters and their fast derivation. It has been evaluated by using a publicly available database. Its robustness is measured in terms of accuracy estimation, showing a sensitivity of 0.87 for heart rate and 0.74 for respiratory rate, a sensitivity of 0.76 considering the triage process and an average-case execution time of 0.02 seconds, making it suitable for real-time applications. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Health–Related ICT Solutions of Smart Environments for Elderly–Systematic Review(Institute of Electrical and Electronics Engineers (IEEE), 2020) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Circular Economy for Clothes Using Web and Mobile Technologies—A Systematic Review and a Taxonomy Proposal(MDPI AG, 2020-03-17) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Enabling Cybersecurity Mechanisms in a SmartPatch-Based Emergency Response System(IEEE, 2023-11); ; ; ; Fedor LehockiThis paper elaborates on the cybersecurity challenges of a healthcare system that includes a chest-patch (SmartPatch) sensor, used for the process management of massive victims’ events. Integrating biosensors into emergency communication strategies requires mechanisms for achieving trustful communication.A use case of usage Bluetooth LE communication between SmartPatch and other device is presented in the paper, and presents the security challenges and potential solutions.