A5068357367- Bone Tissue Engineering Materials
- Dental Implant Techniques and Outcomes
- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Bone health and osteoporosis research
- Sports injuries and prevention
- Remote Sensing and LiDAR Applications
- Lower Extremity Biomechanics and Pathologies
- Craniofacial Disorders and Treatments
- Hip disorders and treatments
- 3D Shape Modeling and Analysis
- Bone fractures and treatments
- Soil Moisture and Remote Sensing
- Facial Trauma and Fracture Management
- Sports Performance and Training
- Anatomy and Medical Technology
- Orthopaedic implants and arthroplasty
- Geophysical Methods and Applications
- Dental Radiography and Imaging
- Balance, Gait, and Falls Prevention
- Food Supply Chain Traceability
- Microwave Imaging and Scattering Analysis
- 3D Printing in Biomedical Research
- Electrical and Bioimpedance Tomography
- Microfluidic and Bio-sensing Technologies
Tampere University
2014-2023
University of Cape Town
2018-2019
Tampere University
2018
Unmanned aerial vehicle (UAV) based remote sensing is gaining momentum worldwide in a variety of agricultural and environmental monitoring modelling applications. At the same time, increasing availability yield devices harvesters enables input-target mapping in-season RGB crop data resolution otherwise unattainable by openly availabe satellite sensor systems. Using time series UAV weather collected from nine fields Pori, Finland, we evaluated feasibility spatio-temporal deep learning...
We examined how the cerebrospinal fluid (CSF) affects distribution of electroencephalogram (EEG) measurement sensitivity. used concentric spheres and realistic head models to investigate difference between computed-tomography (CT) magnetic resonance image (MRI) that exclude CSF layer. The cortical EEG sensitivity distributions support these phenomena show layer significantly influences them, thus identifying importance including inside volume conductor models. results highly conductive...
In this study 6 pre-operative designs for PMMA based reconstructions of cranial defects were evaluated their mechanical robustness using finite element modeling. Clinical experience and engineering principles employed to create multiple plan options, which subsequently computationally analyzed mechanically relevant parameters under 50N loads: stress, strain deformation in various components the assembly. The factors assessed were: defect size, location shape. major variable cranioplasty...
We present linear prediction as a differentiable padding method. For each channel, stochastic autoregressive model is fitted to the input by minimizing its noise terms in least-squares sense. The formed from expected values of given known pixels. trained convolutional RVSR super-resolution scratch on satellite image data, using different methods. Linear slightly reduced mean square error compared zero and replication padding, with moderate increase time cost. better approximated data feature...
Anal incontinence is a devastating condition that significantly reduces the quality of life. Our aim was to evaluate effect human adipose stem cell (hASC) injections in rat model for anal sphincter injury, which main cause humans. Furthermore, we tested if efficacy hASCs could be improved by combining them with polyacrylamide hydrogel carrier, Bulkamid. Human ASCs derived from female donor were culture expanded DMEM/F12 supplemented platelet lysate. Female virgin Sprague-Dawley rats...
Abstract Objectives We investigated the relationship between loading history and bone biomechanical properties used in physical activity reconstructions. These included bending torsional strength ( J ), cortical area (CA), direction of major axis (theta angle), element shape ratios determined from cross sections standardized length. In addition, we explored applicability anatomically sections. Methods Our material consisted hip proximal thigh magnetic resonance images Finnish female athletes...
Passive pumping using gravity-driven flow is a fascinating approach for microfluidic systems. When designing passive system, generated rates should be known precisely. While reported models used to estimate the do not usually consider capillary forces, this paper shows that their exclusion unrealistic in typical Therefore, we propose new analytical model rates. An extensive set of measurements verify proposed provides remarkably more precise approximation real compared previous models. It...
Summary The aim of this study was to examine the association between different types exercise loading and femoral neck cross‐sectional geometry. Our data comprised proximal femur magnetic resonance ( MR ) images obtained from 91 female athletes their 20 age‐matched controls. were categorized according typical training activity – high impact (high triple jumping), odd (racket soccer playing), magnitude (power lifting), repetitive low (endurance running) non‐impact (swimming). Segmented at two...
The aim of this study was to demonstrate the potential microcomputed tomography (micro-CT) technology in assessment retrieved dental implants. Cases are presented illustrate value micro-CT imaging techniques determining possible mechanical causes for implant failures.Eight implants were randomly selected from a pool and imaged using device. Source voltages (80 100 kV) source-to-detector distances (65 70 mm) based on signal quality requirements with an additional criterion achieving highest...
BACKGROUND: Advances in rapid-prototyping and 3D printing technologies have enhanced the possibilities preparing designed architectures for tissue engineering applications.A major advantage custom designing is ability to create structures with desired mechanical properties.While behaviour of a scaffold can be simulated using bulk material properties, it important verify printed at microstructure level.OBJECTIVE: In this study we present an effective method validating scaffolds CT in-situ...
Summary Objectives: The aim of this work was to model facial electromyography (fEMG) find optimal electrode positions for wearable wireless human-computer interface. measurement system is a head cap developed in our institute and with it we can measure fEMG electro-oculogram (EOG). signals could be used control the computer interface: gaze directions move cursor muscle activations correspond clicking. Methods: A very accurate 3D human modeling fEMG. four electrodes on forehead measuring...
Abstract Objectives The aim of this study was to investigate activity‐induced effects from bone geometric properties the proximal femur in athletic vs nonathletic healthy females by statistically controlling for variation body size, lower limb isometric, and dynamic muscle strength, cross‐sectional area Musculus gluteus maximus . Methods material consists hip thigh magnetic resonance images Finnish female athletes (N = 91) engaged either high jump, triple soccer, squash, powerlifting,...
Physical loading makes bones stronger through structural adaptation. Finding effective modes of exercise to improve proximal femur strength has the potential decrease hip fracture risk. Previous finite element (FE) modeling studies have indicated that history comprising impact exercises is associated with substantially higher load. However, those results were limited only one specified fall direction. It remains thus unclear whether exercise-induced load depends on To address this, using...
The causal relationship between habitual loading and adaptive response in bone morphology is commonly explored by analysing the spatial distribution of mechanically relevant features. In this study, 3D features proximal femur 91 female athletes (5 exercise groups representing loading) contrasted with 20 controls. A specific Ricci-flow based conformal mapping procedure was developed for establishing correspondence among periosteal surfaces. leverages invariance method to isometric shape...
The agricultural sector in Finland has been lagging behind digital development. Development long based on increasing production by investing larger machines. Over the past decade, change begun to take place direction of digitalization. One challenges is that different manufacturers are trying get farmers' data their own closed cloud services. In worst case, farmers may lose an overall view farms and opportunities for deeper analysis because located goals previously studied `MIKÄ DATA'...