Clinical Sensor-Based Fall Risk Assessment at an Orthopedic Clinic: A Case Study of the Staff’s Views on Utility and Effectiveness [PDF]
Sensors, 2023 In-hospital falls are a serious threat to patient security and fall risk assessment (FRA) is important to identify high-risk patients. Although sensor-based FRA (SFRA) can provide objective FRA, its clinical use is very limited and research to identify ...
Maria Ehn, Annica Kristoffersson
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Phenotypic and functional characterization of synovial fluid-derived fibroblast-like synoviocytes in rheumatoid arthritis [PDF]
Scientific Reports, 2021 Fibroblast-like synoviocytes (FLS) play an important pathological role in persistent inflammatory joint diseases such as rheumatoid arthritis (RA). These cells have primarily been characterized in the RA synovial membrane.
Ditte Køster +10 more
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Online SFRA for Reliability of Power Systems: Characterization of a Batch of Healthy and Damaged Induction Motors for Predictive Maintenance [PDF]
Sensors, 2023 Asynchronous motors represent a large percentage of motors used in the electrical industry. Suitable predictive maintenance techniques are strongly required when these motors are critical in their operations. Continuous non-invasive monitoring techniques
Giovanni Bucci +5 more
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Performance and Characteristics of Wearable Sensor Systems Discriminating and Classifying Older Adults According to Fall Risk: A Systematic Review [PDF]
Sensors, 2021 Sensor-based fall risk assessment (SFRA) utilizes wearable sensors for monitoring individuals’ motions in fall risk assessment tasks. Previous SFRA reviews recommend methodological improvements to better support the use of SFRA in clinical practice. This
Annica Kristoffersson +2 more
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A New NILM System Based on the SFRA Technique and Machine Learning [PDF]
Sensors, 2023 In traditional nonintrusive load monitoring (NILM) systems, the measurement device is installed upstream of an electrical system to acquire the total aggregate absorbed power and derive the powers absorbed by the individual electrical loads.
Simone Mari +4 more
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DFENet: Deep Feature Enhancement Network for Accurate Calculation of Instantaneous Wave-Free Ratio [PDF]
IEEE Journal of Translational Engineering in Health and Medicine, 2020 Accurate iFR calculation can provide important clinical information for intracoronary functional assessment without administration of adenosine, which needs to locate object points in the pressure waveforms: peak, the dichrotic notch and the pressure ...
Jiping Li, Liang Song, Heye Zhang
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Machine learning for power transformer SFRA based fault detection
International Journal of Electrical Power & Energy Systems, 2022 This paper presents machine learning methods for health assessment of power transformer based on sweep frequency response analysis. The paper presents an overview of monitoring and diagnostics based on statistical Sweep Frequency Response Analysis (SFRA)
Miloš Bjelić +3 more
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Water use and productivity of Cannabis sativa L., KwaZulu-Natal Midlands, South Africa [PDF]
Journal of Cannabis ResearchAims The South African National Water Act (No. 36 of 1998) mandates the regulation of land-based activities that reduce streamflow by declaring them streamflow reduction activities (SFRAs). Hemp (Cannabis sativa L.) is commonly known as a water-intensive
G. M. Denton +4 more
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High-Frequency Modeling of a Three-Winding Power Transformer Using Sweep Frequency Response Analysis
Energies, 2021 A power transformer is an essential device for stable and reliable power transfer to customers. Therefore, accurate modeling of transformers is required for simulation-based analysis with the model.
Yeunggurl Yoon +5 more
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