55 research outputs found

    Contactless privacy-preserving head movement recognition using deep learning for driver fatigue detection

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    Head movement holds significant importance in con-veying body language, expressing specific gestures, and reflecting emotional and character aspects. The detection of head movement in smart or assistive driving applications can play an important role in preventing major accidents and potentially saving lives. Additionally, it aids in identifying driver fatigue, a significant contributor to deadly road accidents worldwide. However, most existing head movement detection systems rely on cameras, which raise privacy concerns, face challenges with lighting conditions, and require complex training with long video sequences. This novel privacy-preserving system utilizes UWB-radar technology and leverages Deep Learning (DL) techniques to address the mentioned issues. The system focuses on classifying the five most common head gestures: Head 45L (HL45), Head 45R (HR45), Head 90L (HL90), Head 90R (HR90), and Head Down (HD). By processing the recorded data as spectrograms and leveraging the advanced DL model VGG16, the proposed system accurately detects these head gestures, achieving a maximum classification accuracy of 84.00% across all classes. This study presents a proof of concept for an effective and privacy-conscious approach to head position classification.</p

    Transport time to trauma facilities in Karachi: an exploratory study

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    Background: Rapid urban growth in developing countries has outpaced the development of health infrastructure, including trauma centers, leading to potential delays in trauma care. This study was conducted in Karachi, a city of 16 million people in Pakistan. Aims: Our aim was to determine the time taken to reach the nearest 24-h emergency care facility (ECF) and the government-designated trauma center (TC). We also sought to determine the availability of supplies and equipment required for basic trauma care at these centers.Methods:We selected five towns in Karachi that had the highest number of road traffic injuries (RTIs) (as identified through medicolegal records). We then measured the time taken to reach the nearest ECF and the government-designated TC from four compass points within each town. We also asked about the equipment and supplies used in basic trauma care.Results: All three TCs in Karachi were located in the selected towns and were within 5.0-10.5 km of each other. The transport times to the 3 TCs were an average of 13.3 min (+/- 7.1) and to the 16 ECFs an average of 4.7 min (+/- 2.4) (p value \u3c 0.00). Most ECFs did not have all equipment and supplies necessary for basic trauma care, 90% had the basic equipment for management of airway, oxygen, and IV fluids, 70% had morphine, and 45% had C-spine collars. Conclusions: Vital time is lost in reaching a government-designated TC. ECFs might be an alternative option, but are not fully equipped and funded to provide adequate trauma care to all

    Pushing the limits of remote RF sensing by reading lips under the face mask

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    The problem of Lip-reading has become an important research challenge in recent years. The goal is to recognise speech from lip movements. Most of the Lip-reading technologies developed so far are camera-based, which require video recording of the target. However, these technologies have well-known limitations of occlusion and ambient lighting with serious privacy concerns. Furthermore, vision-based technologies are not useful for multi-modal hearing aids in the coronavirus (COVID-19) environment, where face masks have become a norm. This paper aims to solve the fundamental limitations of camera-based systems by proposing a radio frequency (RF) based Lip-reading framework, having an ability to read lips under face masks. The framework employs Wi-Fi and radar technologies as enablers of RF sensing based Lip-reading. A dataset comprising of vowels A, E, I, O, U and empty (static/closed lips) is collected using both technologies, with a face mask. The collected data is used to train machine learning (ML) and deep learning (DL) models. A high classification accuracy of 95% is achieved on the Wi-Fi data utilising neural network (NN) models. Moreover, similar accuracy is achieved by VGG16 deep learning model on the collected radar-based dataset

    Mortality from gastrointestinal congenital anomalies at 264 hospitals in 74 low-income, middle-income, and high-income countries: a multicentre, international, prospective cohort study

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    Summary Background Congenital anomalies are the fifth leading cause of mortality in children younger than 5 years globally. Many gastrointestinal congenital anomalies are fatal without timely access to neonatal surgical care, but few studies have been done on these conditions in low-income and middle-income countries (LMICs). We compared outcomes of the seven most common gastrointestinal congenital anomalies in low-income, middle-income, and high-income countries globally, and identified factors associated with mortality. Methods We did a multicentre, international prospective cohort study of patients younger than 16 years, presenting to hospital for the first time with oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation, and Hirschsprung’s disease. Recruitment was of consecutive patients for a minimum of 1 month between October, 2018, and April, 2019. We collected data on patient demographics, clinical status, interventions, and outcomes using the REDCap platform. Patients were followed up for 30 days after primary intervention, or 30 days after admission if they did not receive an intervention. The primary outcome was all-cause, in-hospital mortality for all conditions combined and each condition individually, stratified by country income status. We did a complete case analysis. Findings We included 3849 patients with 3975 study conditions (560 with oesophageal atresia, 448 with congenital diaphragmatic hernia, 681 with intestinal atresia, 453 with gastroschisis, 325 with exomphalos, 991 with anorectal malformation, and 517 with Hirschsprung’s disease) from 264 hospitals (89 in high-income countries, 166 in middleincome countries, and nine in low-income countries) in 74 countries. Of the 3849 patients, 2231 (58·0%) were male. Median gestational age at birth was 38 weeks (IQR 36–39) and median bodyweight at presentation was 2·8 kg (2·3–3·3). Mortality among all patients was 37 (39·8%) of 93 in low-income countries, 583 (20·4%) of 2860 in middle-income countries, and 50 (5·6%) of 896 in high-income countries (p<0·0001 between all country income groups). Gastroschisis had the greatest difference in mortality between country income strata (nine [90·0%] of ten in lowincome countries, 97 [31·9%] of 304 in middle-income countries, and two [1·4%] of 139 in high-income countries; p≤0·0001 between all country income groups). Factors significantly associated with higher mortality for all patients combined included country income status (low-income vs high-income countries, risk ratio 2·78 [95% CI 1·88–4·11], p<0·0001; middle-income vs high-income countries, 2·11 [1·59–2·79], p<0·0001), sepsis at presentation (1·20 [1·04–1·40], p=0·016), higher American Society of Anesthesiologists (ASA) score at primary intervention (ASA 4–5 vs ASA 1–2, 1·82 [1·40–2·35], p<0·0001; ASA 3 vs ASA 1–2, 1·58, [1·30–1·92], p<0·0001]), surgical safety checklist not used (1·39 [1·02–1·90], p=0·035), and ventilation or parenteral nutrition unavailable when needed (ventilation 1·96, [1·41–2·71], p=0·0001; parenteral nutrition 1·35, [1·05–1·74], p=0·018). Administration of parenteral nutrition (0·61, [0·47–0·79], p=0·0002) and use of a peripherally inserted central catheter (0·65 [0·50–0·86], p=0·0024) or percutaneous central line (0·69 [0·48–1·00], p=0·049) were associated with lower mortality. Interpretation Unacceptable differences in mortality exist for gastrointestinal congenital anomalies between lowincome, middle-income, and high-income countries. Improving access to quality neonatal surgical care in LMICs will be vital to achieve Sustainable Development Goal 3.2 of ending preventable deaths in neonates and children younger than 5 years by 2030

    Induction de la sénescence endothéliale auriculaire par l'angiotensine II et la thrombine : rôle du stress oxydant et caractérisation du phénotype pro-thrombotique, pro-adhésif, protéolytique et pro-fibrotique

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    Many studies documented strong relationship between ageing and development of atrial fibrillation (AF). Moreover, it has been found that senescence and senescence-associated- secretory-phenotype play an important role in development of overall atrial inflammation which can ultimately ends up in atrial structural remodeling paving the way to AF perpetuation and maintenance. Moreover, it has been known for decades that AF has been associated with the activation of local and circulating coagulation factors. However, little is known about the impact of coagulation-derived factors, in particular thrombin, on the onset of AF. The aim of the present study was to determine the link between atrial endothelial cells (AECs) senescence and the induction of pro-inflammatory, pro-adhesive, pro-fibrotic and pro-remodelling AECs patterns and also to evaluate the contribution of coagulation derived-factors such as thrombin.De nombreuses études soulignent une relation directe entre la prévalence de la fibrillation auriculaire (FA) et le vieillissement. La senescence cellulaire et le phénotype sécrétoire associé semblent jouer un rôle central dans le développement de l'inflammation auriculaire. Cette inflammation est à l’origine d’un remodelage auriculaire délétère (stress oxydant, fibrose) favorable à la perpétuation et au maintien de la FA. Par ailleurs, il est connu que la FA favorise la coagulation locale et systémique. Cependant, l'impact des facteurs de la coagulation, notamment la thrombine, sur la FA est peu connu. L’objectif de cette étude était de déterminer le lien entre la sénescence des cellules endothéliales atriales et le phénotype pro-inflammatoire et pro-adhésif, la fibrose et le remodelage auriculaire tout en évaluant l’impact de la coagulation, et en particulier le rôle de la thrombine

    Induction of atrial endothelial senescence by angiotensin II and thrombin : role of oxidative stress and characterization of pro-thrombotic, pro-adhesive, proteolytic and pro-fibrotic phenotype

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    De nombreuses études soulignent une relation directe entre la prévalence de la fibrillation auriculaire (FA) et le vieillissement. La senescence cellulaire et le phénotype sécrétoire associé semblent jouer un rôle central dans le développement de l'inflammation auriculaire. Cette inflammation est à l’origine d’un remodelage auriculaire délétère (stress oxydant, fibrose) favorable à la perpétuation et au maintien de la FA. Par ailleurs, il est connu que la FA favorise la coagulation locale et systémique. Cependant, l'impact des facteurs de la coagulation, notamment la thrombine, sur la FA est peu connu. L’objectif de cette étude était de déterminer le lien entre la sénescence des cellules endothéliales atriales et le phénotype pro-inflammatoire et pro-adhésif, la fibrose et le remodelage auriculaire tout en évaluant l’impact de la coagulation, et en particulier le rôle de la thrombine.Many studies documented strong relationship between ageing and development of atrial fibrillation (AF). Moreover, it has been found that senescence and senescence-associated- secretory-phenotype play an important role in development of overall atrial inflammation which can ultimately ends up in atrial structural remodeling paving the way to AF perpetuation and maintenance. Moreover, it has been known for decades that AF has been associated with the activation of local and circulating coagulation factors. However, little is known about the impact of coagulation-derived factors, in particular thrombin, on the onset of AF. The aim of the present study was to determine the link between atrial endothelial cells (AECs) senescence and the induction of pro-inflammatory, pro-adhesive, pro-fibrotic and pro-remodelling AECs patterns and also to evaluate the contribution of coagulation derived-factors such as thrombin

    Induction of atrial endothelial senescence by angiotensin II and thrombin : role of oxidative stress and characterization of pro-thrombotic, pro-adhesive, proteolytic and pro-fibrotic phenotype

    No full text
    De nombreuses études soulignent une relation directe entre la prévalence de la fibrillation auriculaire (FA) et le vieillissement. La senescence cellulaire et le phénotype sécrétoire associé semblent jouer un rôle central dans le développement de l'inflammation auriculaire. Cette inflammation est à l’origine d’un remodelage auriculaire délétère (stress oxydant, fibrose) favorable à la perpétuation et au maintien de la FA. Par ailleurs, il est connu que la FA favorise la coagulation locale et systémique. Cependant, l'impact des facteurs de la coagulation, notamment la thrombine, sur la FA est peu connu. L’objectif de cette étude était de déterminer le lien entre la sénescence des cellules endothéliales atriales et le phénotype pro-inflammatoire et pro-adhésif, la fibrose et le remodelage auriculaire tout en évaluant l’impact de la coagulation, et en particulier le rôle de la thrombine.Many studies documented strong relationship between ageing and development of atrial fibrillation (AF). Moreover, it has been found that senescence and senescence-associated- secretory-phenotype play an important role in development of overall atrial inflammation which can ultimately ends up in atrial structural remodeling paving the way to AF perpetuation and maintenance. Moreover, it has been known for decades that AF has been associated with the activation of local and circulating coagulation factors. However, little is known about the impact of coagulation-derived factors, in particular thrombin, on the onset of AF. The aim of the present study was to determine the link between atrial endothelial cells (AECs) senescence and the induction of pro-inflammatory, pro-adhesive, pro-fibrotic and pro-remodelling AECs patterns and also to evaluate the contribution of coagulation derived-factors such as thrombin
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