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PREVALENCE OF KNEE JOINT PAIN AMONG OUTDOOR PATIENTS
2021
Zenodo
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Knee pain is pain in or around the knee. The knee joint consists of an articulation between four bones: the femur, tibia, fibula and patella. There are four compartments to the knee. This crosssectional study was conducted among outdoor patients presenting in different hospitals. Name, age, gender, presence or absence of knee joint pain, treatment modalities were noted on a predefined proforma. All the data was entered and analyzed with SPSS Ver. 23.0. There were 100 patients included in this
doi:10.5281/zenodo.4436080
fatcat:gck7om6s2bdabjk323d2i66mby
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... udy i.e. 40 males (40%) and 60 females (60%). The mean age of the patients was 34.23±5.45 years. Out of 100 patients, seventeen had history of occasional and frequent knee joint pain and they were taking medication for this condition. Keywords: Knee Joint Pain.
3DAirSig: A Framework for Enabling In-Air Signatures Using a Multi-Modal Depth Sensor
2018
Sensors
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In-air signature is a new modality which is essential for user authentication and access control in noncontact mode and has been actively studied in recent years. However, it has been treated as a conventional online signature, which is essentially a 2D spatial representation. Notably, this modality bears a lot more potential due to an important hidden depth feature. Existing methods for in-air signature verification neither capture this unique depth feature explicitly nor fully explore its
doi:10.3390/s18113872
pmid:30423837
fatcat:gs4qo257ubegzbg5bt3hmz4zne
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... ntial in verification. Moreover, these methods are based on heuristic approaches for fingertip or hand palm center detection, which are not feasible in practice. Inspired by the great progress in deep-learning-based hand pose estimation, we propose a real-time in-air signature acquisition method which estimates hand joint positions in 3D using a single depth image. The predicted 3D position of fingertip is recorded for each frame. We present four different implementations of a verification module, which are based on the extracted depth and spatial features. An ablation study was performed to explore the impact of the depth feature in particular. For matching, we employed the most commonly used multidimensional dynamic time warping (MD-DTW) algorithm. We created a new database which contains 600 signatures recorded from 15 different subjects. Extensive evaluations were performed on our database. Our method, called 3DAirSig, achieved an equal error rate (EER) of 0 . 46 %. Experiments showed that depth itself is an important feature, which is sufficient for in-air signature verification. The dataset will be publicly available (https://goo.gl/yFdfdL).
Simultaneous Hand Pose and Skeleton Bone-Lengths Estimation from a Single Depth Image
[article]
2017
arXiv
pre-print
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Articulated hand pose estimation is a challenging task for human-computer interaction. The state-of-the-art hand pose estimation algorithms work only with one or a few subjects for which they have been calibrated or trained. Particularly, the hybrid methods based on learning followed by model fitting or model based deep learning do not explicitly consider varying hand shapes and sizes. In this work, we introduce a novel hybrid algorithm for estimating the 3D hand pose as well as bone-lengths of
arXiv:1712.03121v1
fatcat:26dlzssrgjdn3kzedqek5o3kua
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... the hand skeleton at the same time, from a single depth image. The proposed CNN architecture learns hand pose parameters and scale parameters associated with the bone-lengths simultaneously. Subsequently, a new hybrid forward kinematics layer employs both parameters to estimate 3D joint positions of the hand. For end-to-end training, we combine three public datasets NYU, ICVL and MSRA-2015 in one unified format to achieve large variation in hand shapes and sizes. Among hybrid methods, our method shows improved accuracy over the state-of-the-art on the combined dataset and the ICVL dataset that contain multiple subjects. Also, our algorithm is demonstrated to work well with unseen images.
PREVALENCE OF NEUROPATHIC PAIN AMONG PATIENTS PRESENTING IN OUTDOOR DEPARTMENT
2021
Zenodo
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Neuropathic pain is pain caused by damage or disease affecting the somatosensory nervous system. Neuropathic pain may be associated with abnormal sensations called dysesthesia or pain from normally non-painful stimuli (allodynia). This cross-sectional study was conducted among the patients presenting in outdoor department of different hospitals. Name, age, gender, history of disease and disease duration were noted on a predefined proforma. All the data was entered and analyzed with SPSS Ver.
doi:10.5281/zenodo.4436061
fatcat:hyy2t7l5ung55lygbesqtyd57q
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... 0. There were 160 patients included in this study i.e., 80 males (50%) and 80 females (50%). The mean age of the patients was 35.27±6.21 years. The minimum age was 26 years and maximum age was 45 years. Out of 160 patients seventeen patients presented with history of neuropathic pain and most of them were already taking the medication. Keywords: Neuropathic Pain
Human Granulocytic Anaplasmosis Affecting the Myocardium
2005
Journal of general internal medicine
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A case of 65-year-old male is reported who presented with myalgias, headache, and fever. He subsequently developed myocarditis and was diagnosed to have anaplasmosis on peripheral blood smear. He was treated with doxycycline for 30 days. A coronary angiogram done after recovery showed normal epicardial arteries. The case illustrates the importance of a careful examination of the peripheral smear, with a high index of clinical suspicion, which led to prompt treatment and complete recovery of the
doi:10.1111/j.1525-1497.2005.00218.x
pmid:16191146
pmcid:PMC1490240
fatcat:bmkckbxs3va3bl5us4krda5k24
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... patient. Authors do not have commercial or other associations that might pose a conflict of interest (e.g., pharmaceutical stock ownership, consultancy). This work was done at
Graph-based Hand-Object Meshes and Poses Reconstruction with Multi-Modal Input
2021
IEEE Access
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Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data
2019
Sensors
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Recovery of articulated 3D structure from 2D observations is a challenging computer vision problem with many applications. Current learning-based approaches achieve state-of-the-art accuracy on public benchmarks but are restricted to specific types of objects and motions covered by the training datasets. Model-based approaches do not rely on training data but show lower accuracy on these datasets. In this paper, we introduce a model-based method called Structure from Articulated Motion (SfAM),
doi:10.3390/s19204603
fatcat:7ul4fn7hu5babl6hhi5wipyo24
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... hich can recover multiple object and motion types without training on extensive data collections. At the same time, it performs on par with learning-based state-of-the-art approaches on public benchmarks and outperforms previous non-rigid structure from motion (NRSfM) methods. SfAM is built upon a general-purpose NRSfM technique while integrating a soft spatio-temporal constraint on the bone lengths. We use alternating optimization strategy to recover optimal geometry (i.e., bone proportions) together with 3D joint positions by enforcing the bone lengths consistency over a series of frames. SfAM is highly robust to noisy 2D annotations, generalizes to arbitrary objects and does not rely on training data, which is shown in extensive experiments on public benchmarks and real video sequences. We believe that it brings a new perspective on the domain of monocular 3D recovery of articulated structures, including human motion capture.
DeepAirSig: End-to-End Deep Learning based In-Air Signature Verification
2020
IEEE Access
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She has been working as research assistant under supervision of Jameel Malik and Prof. Dr. ...
JAMEEL MALIK received the master's degree in electrical engineering from the School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Pakistan ...
doi:10.1109/access.2020.3033848
fatcat:zk4malrqnfb5hachpdirkoi4uu
PEDIATRIC NOCTURNAL ENURESIS PREVALENCE IN ASSOCIATION WITH MULTIPLE RISK FACTORS: A CROSS-SECTIONAL STUDY IN JEDDAH, KSA
2021
Zenodo
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Nocturnal enuresis is the inability to control urination. It represents a common health problem among young children and adolescents. Nocturnal enuresis is the second most common condition affecting children aged 6 to 14 years after allergic disorders. Methodology: this was a cross-sectional study conducted among young Saudi children to determine the prevalence of nocturnal enuresis and associated risk factors. An online adapted questionnaire was distributed among the children's parents to
doi:10.5281/zenodo.4716912
fatcat:x6ebrvcxqnffpkh45itirqgo7e
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... ll the study objects. Results: Among the 432 included children, 53.2% were females and (31.5%) aged 5-7 years. There was a significant association between the child's age (P=0.000), gender (P=0.040), and father's education (P=0.096) and nocturnal enuresis. The parents' and siblings' family history, hospital admission, blood grouping, suffering from diabetes, and UTI also has a significant association with the prevalence of nocturnal enuresis (P=0.032), (P=0.000), (P=0.024), (P=0.004), (P=0.000), and (P=0.006), respectively. Conclusion: We demonstrated a high prevalence of nocturnal enuresis among young Saudi children. Family history was significantly associated with the enuresis prevalence. High prevalence of diurnal enuresis and which caused social shame to most of the participants. Children who were admitted to hospital after delivery, born with obstructed, and those suffered from diabetes and UTI were found to have the highest prevalence of enuresis. Keywords: Nocturnal enuresis; Pediatric; Saudi Arabia
Home Sickness, Social Connected and Academic Performance in Hostelites
2020
International Journal of Social Science and Economics Invention
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The present study aimed to inspect the relationship among home sickness, social connectedness, and academic performance. The correlational examination configuration was utilized in this investigation. The N= 300 (150 males and 150 females) test of understudies were taken from various private inns by utilizing purposive examining strategy. The period of test was 18-25 years, M (SD) 2.58 (1.910). The appraisal devices were utilized, Homesickness scale (Heajong, 1999), Social Connectedness Scale
doi:10.23958/ijssei/vol06-i11/246
fatcat:f27d3xokije77duhaa7wpxmczi
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... vised (Richard M Lee, 2001) and Academic Performance scale (Zahoor Ahmad, 2018). Examination of correlational was run so as to explore the connection between home disorder, social connectedness and scholarly execution. Control through cycle investigation was utilized to locate the directing function of social connectedness on home infection and scholastic execution. Free example t-test was utilized to quantify the distinction of factors. Results uncovered that home disorder, social connectedness and scholastic execution has non-critical relationship with one another. It was likewise discovered that social connectedness doesn't directing on the relationship of home ailment and scholarly execution. The results of this exploration additionally appeared there was no sexual orientation contrasts in scholastic execution.
Real-Time Energy Efficient Hand Pose Estimation: A Case Study
2020
Sensors
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In this work, Malik et al. have shown enhanced precision over the state-of-the-art using a unified dataset. In fact, Oberweger et al. ...
Hand Pose Estimation: Our implementation of hand pose estimation CNN on FPGA is originally based on the work of Malik et al. [10] and inspired by it. ...
doi:10.3390/s20102828
pmid:32429341
fatcat:gdlezmkdirfspeqvwb6k4fc27m
DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth
[article]
2018
arXiv
pre-print
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Malik et al. [14] further extend this work by introducing a flexible hand geometry in the training pipeline. The algorithm simultaneously estimates bone-lengths and hand pose. ...
arXiv:1808.09208v1
fatcat:gwzkoqq6vne63gsxbrbbkisq74
WHSP-Net: A Weakly-Supervised Approach for 3D Hand Shape and Pose Recovery from a Single Depth Image
2019
Sensors
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Malik et al. ...
Malik et al. [11] extended this work and learned hand bones scales jointly with 3D pose. ...
doi:10.3390/s19173784
fatcat:ifjmcrwonnhjzbnmmya5v5prk4
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map
[article]
2020
arXiv
pre-print
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Malik et al. [14] developed a 2D CNN-based approach that estimates shapes directly from 2D depth maps. ...
Recently, Malik et al. [17] developed another direct regression-based approach from a single depth image. ...
arXiv:2004.01588v1
fatcat:y5rrc6sod5dvze3jamceupkv6i
Social Media as an Opinion Formulator: A Study on Implications and Recent Developments
2019
2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
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Social media has a great influence on how information reaches us and how we form an opinion based on it. For many users, social media increases the variety of information and ensure its accessibility across different platforms. However, recent years have seen an exponential increase in the power of social media. Most often, the forwarding and sharing of journalistic articles serve the recommendation from the user's point of view, but recently, these platforms have been developed into an echo
doi:10.1109/icomet.2019.8673509
fatcat:mj5t4wbkjjaxzkvwpglj4lnwca
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... mber to transport additional information or even a critical attitude. In addition, the uncontrolled influx of social media in different parts of the world favors phenomena such as fake news and social bots. These threaten the exchange of views sought by mutual understanding and sincerity that democratic societies need. Motivated by these observations, this article aims to paint a realistic picture of the impact of social media. To do so, we discuss the recent developments and social changes and provide analysis of the global impact of the connected audience. Next, we shed light on some of the opinion formulation procedures and its key enablers. Finally, we present an explanatory discussion on the Facebook algorithms and provide two case studies in the wake of recent global events.
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