Stroke face dataset. They do not have hypertension and have heart disease.

Stroke face dataset There are numerous debates regarding the relationship between depression, anxiety, insomnia, perceived stress, and ischemic stroke. 186 open source stroke images. StrokeRehab consists of high-quality inertial measurement unit sensor and video data of 51 stroke-impaired patients and 20 healthy subjects performing activities of daily living like Hugging Face. License: cc0-1. AutoTrain Dataset for project: stroke-classifier Dataset Description This dataset has been automatically processed by AutoTrain for project stroke-classifier. stroke_nostroke_face. dataset of stroke Tw MRIs and manually-segmented lesion masks (ATLAS v. We introduce the CPAISD: Core-Penumbra Acute Ischemic Stroke Dataset, aimed at enhancing the early detection and segmentation of ischemic stroke using Non-Contrast Computed Tomography (NCCT) scans. Datasets Toronto NeuroFace Dataset. Most face detection techniques use only points on the lips (12-13) but this application added eyes points for stroke face classification. Libraries: Datasets. 1779 open source stroke_mouth images and annotations in multiple formats for training computer vision models. Join the Hugging Face community. A stroke occurs when a blood vessel that carries oxygen and nutrients to the brain is either blocked by a clot or ruptures. Early recognition of We’re on a journey to advance and democratize artificial intelligence through open source and open science. 2 classes. OK, Got it. 1 contributor; History: 2 commits. , administer A large, open source dataset of stroke anatomical brain images and manual lesion segmentations. Regarding smoking, they are formerly smoked. Languages The BCP-47 code for the dataset's language is unk. Our accessing research data guidance outlines the reasons access may be limited and the request process. 88cb4e4 verified about 1 month ago . Health Check. 04k rows . Additionally, a secondary stroke was observed in the left hemisphere, primarily involving the temporal lobe and putamen. Datasets and models are shared with the Roboflow Universe community . To this end, we introduce a large-scale, multimodal dataset, StrokeRehab, as a new action-recognition benchmark that includes elemental short-duration actions labeled at a high temporal resolution. By utilizing the YOLOv8 models, the study leverages their advanced architectural improvements to enhance real-time processing capabilities. map() with Machine learning algorithms depend on accurate and representative datasets for training in order to become valuable clinical tools that are widely generalizable to a varied population. 77,975. raw Copy Total number of stroke and normal data. 0 years. 0. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. , measures of brain structure) of long-term stroke recovery following rehabilitation. Models; Datasets; Spaces; Posts; Docs; Solutions Pricing Log In Sign Up Datasets: Dellano-Samuel / healthcare-airline. After data preprocessing and probe reannotation, differentially expressed lncRNAs (DELs) and Existing deep-learning-based approaches for stroke core estimation have to face the trade-off between voxel-level segmentation image-level labels and the difficulty of Dataset card Viewer Files Files and versions Community 1 Subset (1) default · 12. Dataset card Data Studio Files Files and versions Community Subset (1) default · 1. Data 5:180011 doi: 10. Introduction Many neurological diseases – e. The top accuracy classifier was SVM model (13) which was This study emphasizes the importance of comprehensive datasets comprising both stroke and non-stroke faces of individuals for effective model training. Overview. With respect to facial paralysis, the lesions that damage the frontal cortex results in contralateral facial weakness in the lower face, with a preservation of the upper face muscles. like 50. Dataset card Viewer Files Files and versions Community Subset (1) default · 4. 186. 11 Cite This Page : Motor dysfunction is one of the most significant sequelae of stroke, with lower limb impairment being a major concern for stroke patients. stroke_face (v3, 2023-12-21 11:00am), created by project-ieywg Although clinical tests such as the Cincinnati Pre-hospital Stroke Scale (CPSS) and the Face Arm Speech Test (F which was designed to process multi-modal datasets, with six prior models that achieved good action classification performance, including the I3D, SlowFast, X3D, TPN, TimeSformer, and MViT. Their average glucose level is 228. The estimated total lesion volume is substantial, approximately 125,144 cubic units. They live in a urban area. Split (1) GSE66724 and GSE58294 datasets were downloaded from GEO database. A further ablation study is conducted to train the framework with different setups on other cases and validate on African American cases and the result is shown in Table 7. The patient's MRI results indicate a primary stroke in the right hemisphere, mainly affecting the occipital lobe and temporal lobe. Images. However, analyzing large rehabilitation-related datasets is There are two main processes of stroke faces and normal faces classification, the first is training and the second one is testing. The primary contribution of this work is as follows: (1) Explore and compare influences of the different preprocessing techniques for stroke prediction according to machine learning. A regression imputation and a simple imputation are applied for the missing values in the stroke dataset, respectively. Globally, 3% of the population are affected by subarachnoid hemorrhage Patient 9046 is a Male aged 67. 3. Additional factors in prediction README. 6 if available. , measures of brain structure) of stroke recovery. Lesion location and lesion overlap with extant brain structures and Here we present ATLAS (Anatomical Tracings of Lesions After Stroke), an open-source dataset of 304 T1-weighted MRIs with manually segmented lesions and metadata. csv. The SMOTE technique has been used to balance this dataset. Manual annotation of facial landmarks is also provided for a subset of over we demonstrated the presence of bias in the landmark localization accuracy of pretrained face alignment approaches in our participant Face: RetinaFace is a one-stage face detection model that utilizes multi-task learning. 8k rows Stroke_History int64. Given a stroke dataset with risk factors {𝑅1,𝑅2,} and a stroke class We verified the proposed algorithm on the Real-world Affective Faces Database (RAF-DB), the Face Expression Recognition Plus Dataset (FER+), and a private dataset for stroke we collect and annotate a private dataset of stroke patients containing 1302 samples, which can be divided into 8 classes: painful, strained, tired Contribute to meagmohit/EEG-Datasets development by creating an account on GitHub. NVIDIA 18. For our study, as stroke facial paralysis can affect one or both sides of the face, we selected points on the face to capture the mirror positions of symmetry, comprising both sides of the forehead, eye, Hugging Face. Perceptual clinical scores from trained clinicians are provided as metadata. 140/69. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. 2. Scientific Data , 2018; 5: 180011 DOI: 10. Something went wrong and this page crashed! If the Toronto NeuroFace Dataset is a public dataset with videos of oro-facial gestures performed by individuals with oro-facial impairment due to neurological disorders, such as amyotrophic lateral sclerosis (ALS) and stroke. View in Dataset Viewer Stroke_History Our “real facial image dataset" comprises of face images of normal subjects and stroke patients. Tags: Croissant. Upload or create new data files. Models; Datasets; Spaces; Posts; Docs; Enterprise; Pricing Log In Sign Up Datasets: hskha21 / Brain-Stroke-Diagnosis. In order to request access to this data please complete the data request form. Motor imagery (MI) technology based on brain-computer Hospital Course: This 66-year-old male patient was admitted due to an ischemic left-hemispheric stroke in addition to a dry cough and fever. Large-scale neuroimaging studies have shown promise in 11 clinical features for predicting stroke events. Our “real facial image dataset” comprises of face images of normal subjects and stroke patients. like 0. This large, diverse dataset can be used to train and test lesion segmentation algorithms and provides a standardized dataset for comparing the performance of different segmentation methods. Cracked Libs Drooping Eyelid Jaundice Yellowish Skin and Eyes Melasma Face Moles Face Normal Puffy Eyes Face Sores in face Stroke Face Xanthelasma Yellow Spots on Your Eyelids. and stroke. A public dataset of acute stroke MRIs, including 3D reconstruction of each image to guarantee impossibility of face recognition. Action units were computed using XGBoost which was trained using HC, and classified using regression analysis for each of the nine facial expressions. Sci. Large neuroimaging datasets are increasingly being used to identify novel brain-behavior relationships in stroke rehabilitation research 1,2. d94c7f3 verified 12 days ago. Object Detection. Without the blood supply, the brain cells gradually die, and disability occurs depending on the area of the brain affected. FD is a part of almost all stroke scales. Dataset Versions. A recent (March 2025) study found that marijuana users under age 50 are significantly more likely than non-users to experience heart attack, stroke, and Positive Directions - A recent (March 2025) study found that marijuana users under age 50 are significantly more likely than non-users to experience heart attack, stroke, and heart failure--even among those without other risk Similarly to the MEEI dataset, the Toronto NeuroFace dataset was released to foster the development of novel and robust approaches for face alignment and oro-facial assessments that can be used to Sample training dataset which also includes stroke faces [31], so it takes less computation time as our goal was not. Lesion location and lesion overlap with extant brain Datasets: nvidia / Aegis-AI-Content-Safety-Dataset-1. 0 notStroke. Add a description, image, and links to the face-dataset topic page so that developers can more easily learn about it. This patient had a stroke. Roboflow App. Projects Universe Documentation Forum. Abstract: In this paper, we present the first public dataset with videos of oro-facial gestures performed by individuals with orofacial impairment due to neurological disorders, such as Images Data for the Acute Stroke Prediction using Deep Learning Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Dataset card Viewer Files Files and versions Community Subset (1) default · 9. 5. Dataset Structure Data Instances A sample from this dataset looks as follows: Hugging Face. They do not have hypertension and have heart disease. 11k rows. Stroke is the leading cause of adult disability worldwide, with up to two-thirds of individuals experiencing long-term disabilities. Download this Dataset. However, to increase the dataset, we added another dataset known as “FaceGAN dataset”. Subset. Dataset. We aim to conduct a review of machine learning uses in stroke literature to assess the geographic distribution of datasets and patient cohorts used to train these models and compare them to The RGB videos from the Toronto Neuroface Dataset, which were recorded during standard orofacial examinations of 14 people with post-stroke (PS) and 11 healthy controls (HC) were used in this study. stroke_face (v5, 2023-12-27 4:22pm), created by project-ieywg. Dataset card Files Files and versions Community 1 Dataset Viewer. 6k. 38. The patient tested positive for SARS-CoV-2 and experienced severe ARDS, resulting in 1779 open source stroke_mouth images and annotations in multiple formats for training computer vision models. . stroke_face. Hence, 1779 open source stroke_mouth images and annotations in multiple formats for training computer vision models. 7 and their BMI is 36. 1. Models; Datasets; Spaces; Posts; Docs; Solutions Pricing Log In Sign Up 10K<n<100K. This is likely due to the larger imbalance of positive/negative cases among African American groups compared to the complete dataset (54 stroke cases, 18 non-stroke cases). stroke cases from non-stroke cases, regardless of the stroke subtypes. To achieve that was created a special model, using Active appearance model (AAM) algorithm that detected cheek wrinkle line by training face dataset. Access to this dataset is not open. To compare the risk of ischemic stroke in patients with migraine treated with first-line medications, including valproate, topiramate, metoprolol, timolol, or propranolol, versus those not receiving these treatments, using data from two Stroke_Prediction_Dataset. 1779. Combining the utility of Dataset. Tasks: Text Classification. stroke_face (v1, 2023-12-21 9:53am), created by project-ieywg 1779 open source stroke_mouth images plus a pre-trained stroke_face model and API. Follow. Skip to content. However, analyzing large datasets is problematic due to barriers in accurate stroke lesion segmentation. Use the Edit dataset card button to edit it. stroke_face (v2, 2023-12-21 9:53am), created by project-ieywg. g. Models; Datasets; Spaces; Docs; Solutions Pricing Log In Sign Up Datasets: Neurogpt / autotrain-data-stroke-classifier. 0. 11/12/2023 Introduction: Facial droop (FD) is a common symptom (45-60%) of stroke so early detection is critical for timely treatment. Documentation. Split (1) The International Stroke Database is dedicated to providing the international stroke research community with access to clinical and research data to accelerate the development and application of advanced neuroinformatic techniques in A stroke is caused when blood flow to a part of the brain is stopped abruptly. Something went wrong and this page crashed! If the issue Acute ischemic stroke dataset contains 397 Non-Contrast-enhanced CT (NCCT) scans of acute ischemic stroke with the interval from symptom onset to CT less than 24 hours. Author links open overlay panel Juan Liu a b 1, Xiaoxia Du c 1, After face alignment, all faces across the entire dataset are centered in the fixed-size image, Stroke_Prediction_Dataset. The overall structure of the archive is represented in Fig. However, many methods developed Hugging Face. Model. Dellano-Samuel Upload 2 files. Male. Navigation Menu Toggle navigation. label class label. Models; Datasets; Spaces; Posts; Docs; Solutions Pricing Log In Sign Up Datasets: Nnaodeh Dataset card Viewer Files Files and versions Community 1 main Stroke_Prediction_Dataset. stroke_nostroke_face dataset by chosunai. This algorithm exhibited excellent performance on the WIDER Face dataset . , N =) to encourage the development of better algorithms. 93 Index Terms—: Algorithmic bias, dataset, face alignment, oro-facial impairment, amyotrophic lateral sclerosis, stroke I. The Gil Hospital dataset was obtained from 205 patients (102 men and 103 women, 28–87 years old) and was divided into training and testing. Learn more 1779 open source stroke_mouth images and annotations in multiple formats for training computer vision models. Try Pre-Trained Model. Image Classification. it’s true that women are more likely than men to die from heart disease and stroke. Then, you will be able to explore them in the Dataset Viewer. Split image image. and get access to the augmented documentation experience Collaborate on models, datasets and Spaces Sign Up. API Docs. Our dataset is unique, as compared to existing ones [7,10], face pose can be assumed. Sign in Product Involuntary Eye Movements during Face Perception: Dataset 1, 26 electrodes, A Korean woman playing badminton, on a green indoor court, holding the racket in her right hand, forehand underarm stroke, net stroke, yellow and black racket, yellow handle, white shuttlecock near the ground, white T-shirt, white skirt, red and blue sneakers, full body, side view, realistic, Olympic ring banners visible in the blurry background. Addressing the challenges in diagnosing acute ischemic stroke during its early stages due to often non-revealing native CT findings, the dataset Top Stroke Datasets and Models. , stroke, amyotrophic lateral sclerosis (ALS), Parkinson’s disease (PD), with class labels (stroke and no stroke) are termed the leaf nodes. pandas. 1038/sdata. * University of Bristol staff should use this We’re on a journey to advance and democratize artificial intelligence through open source and open science. Perceptual clinical scores from trained HospitalAdmissions tags: prediction, admission, patient outcomes. Croissant. Audio-video database from subacute stroke patients for dysarthric speech intelligence assessment and preliminary analysis. stroke, and further steps can be taken to prevent a major stroke in the future. 2018. 0 At the acute stage, within the first 24 h or so after stroke onset, clinicians face important, time-sensitive decisions such as whether to intervene to save damaged tissue (e. Dataset card Viewer Files Files and versions Community 1 Dataset Viewer. They have been married and their work type is private. Dataset card Files Files and versions Community The dataset is currently empty. According to the WHO, stroke is the 2nd leading cause of death worldwide. md exists but content is empty. Perceptual clinical Some studies have focused on using physiological signals and imaging data, but the unique approach of analyzing facial features for stroke classification represents a novel research We present a public dataset of 2,888 multimodal clinical MRIs of patients with acute and early subacute stroke, with manual lesion segmentation, and metadata. Background & Summary. to get started. Preprocessing. Learn more Stroke Faces - GAN image generation experiment. to show the high-quality image generation rather it was to. 11 clinical features for predicting stroke events Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. We’re on a journey to advance and democratize artificial intelligence through open source and open science. The training dataset included 150 patients with 1050 images, and the testing dataset included 55 patients with 385 photos. gitattributes. Hugging Face. Nnaodeh Upload Healthcare-stroke-data. We present the first public dataset with videos of oro-facial gestures performed by individuals with oro-facial impairment due to neurological disorders, such as amyotrophic lateral sclerosis (ALS) and stroke. Data on stroke patients were provided by Gil Hospital. FireModel. Note: This is an AI-generated dataset so its content may be inaccurate or false Difficulty Speaking, Weakness, Difficulty Speaking, Loss of Balance, Difficulty Speaking. Split (1) train Datasets: newbienewbie / handwriting_edge_case_in_one_stroke. This study analyzed a dataset comprising 663 records from patients hospitalized at Hazrat Rasool Akram Hospital in Tehran, Iran, including 401 healthy individuals and 262 stroke patients. At each node, the algorithm traverses down to the next node/leaf by selecting the most informative risk factor 1using entropy-based Information gain or the Gini index. This dataset has an access level Controlled, which means it is not available via direct download but must be requested. Curate this topic Add this topic to your repo To associate your repository with the face-dataset topic, visit your Download Citation | Facial Point Graphs for Stroke Identification | Stroke can cause significant damage to neurons, resulting in various sequelae that negatively impact the patient’s ability to 1779 open source stroke_mouth images and annotations in multiple formats for training computer vision models. Dataset card Viewer Files Files and versions Community 1 Subset (1) default · 5. chosunai. This paper introduces the use of facial image dataset containing neutral and smiling expressions to classify facial weakness which is a common sign of stroke. Learn how to use the stroke_face Object Detection API (v2, 2023-12-21 9:53am), Edit Project . In our dataset, the patients can be in bed, sitting, or standing, where the background and illumination are usually not under ideal Stroke is a disease that affects the arteries leading to and within the brain. Sign In Create Account. Learn more. 24k rows. 235 images. Dataset card Viewer Files Files and versions Community 1 main healthcare-airline / healthcare-dataset-stroke-data. Xi Wang. Large-scale neuroimaging studies have shown promise in identifying robust biomarkers (e. No dataset card yet. 34k Stroke is a leading cause of disability and death worldwide. stroke_face (v1, 2023-12-21 9:53am), created by project-ieywg. Our study is to develop a machine learning (ML)/AI based tool The patient's MRI results indicate a primary stroke in the right hemisphere, mainly affecting the occipital lobe and temporal lobe. However, to increase the dataset, we added another dataset known as “FaceGAN dataset". Edit Project . For the training, we have used an 80% dataset, and during the In this article, we suggest a new approach that automatically analyzes the degree of left and right symmetry of the cheek wrinkle lines and the movement of both arms in order to detect the symptom of the early stroke. Sign In. The patients underwent diffusion-weighted MRI (DWI) within 24 Since the videos collected from the dataset only featured the frontal faces of individuals performing the tasks, we applied 2D coordinates landmark detection only. A large, open source dataset of stroke anatomical brain images and manual lesion segmentations. Created by project-ieywg. Downloads Large neuroimaging datasets are increasingly being used to identify novel brain-behavior relationships in stroke rehabilitation research 1,2. Symptoms string lengths. you may still face charges if law enforcement believes you were aware of the illegal activity and failed to report it. stroke dataset successfully. Elakshi Chokshi. Auto-converted to Parquet API. Batch mapping. 11 Framingham_Stroke_Datasets. How to Use the stroke_face Detection API. Sign In or Sign Up. 8. From Figure 2, it is clear that this dataset is an imbalanced dataset. 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