Готові списки джерел за темами / Brain Stroke Monitoring

Добірка наукової літератури з теми "Brain Stroke Monitoring"

Автор: Grafiati

Опубліковано: 14 березня 2023

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Статті в журналах з теми "Brain Stroke Monitoring"

Rehman, Fazal ur, Sikander Idrees, Muhammad Hashim, and Syed Maroof Hashmi. "HYPERTENSIVE HEMORRHAGIC STROKE;." Professional Medical Journal 24, no. 08 (August 8, 2017): 1195–99. http://dx.doi.org/10.29309/tpmj/2017.24.08.958.

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Анотація:

Objectives: The aim of our study is to evaluate the use of intracranial pressuremonitoring as a predictor of neurological deterioration in patients with hemorrhagic stroke andevaluate the relationship of continuous intracranial pressure monitoring with warning signsof brain herniation and hematoma enlargement in our setup. Study Design: Randomizedcontrolled trial. Period: 02 years duration from June 2014 to June 2016. Setting: Tertiary CareHospital in Karachi Pakistan. Method: Patients in group A had continuous monitoring of theintracranial pressures by having an implant device placed under general anesthesia. Bothgroups were given the required treatment as per guideline, including blood pressure reduction,diuretic and mannitol as per requirement. Both the groups were assessed clinically after every8 hours in the initial three days and then every day till no deterioration were observed for 5 days(pupils, reflexes, extremity test etc) and a repeat CT scan was performed at 24 hours after theonset of initial stroke. While in the control group pressures were monitored using neurologicalsigns and clinical measurements, and the dose of mannitol was adjusted accordingly. Theoutcome was assessed within 1 month duration from the onset of hemorrhagic stroke, and theparameters used were hematoma progression and herniation of the brain. Results: The patientpopulation consisted of n= 100 patients, who presented to our hospital with a primary diagnosisof hemorrhagic stroke, as confirmed by CT scan. The patient population was divided into twogroups using a random number generator, group A consisted of the patients who underwentintracranial pressure monitoring and had n= 52 patients, while group B consisted of the controlgroup (no objective ICP measurement) and had n= 48 patients in the group. The incidence ofenlargement of the hematoma in group A was n= 16 (30.76%) and in the control group was n=18 (37.5%). And when it comes to brain herniation n= 6 (11.53%) patients developed it in theICP monitoring group and n= 10 (20.833%) developed it in the control group respectively. Wefound that the mortality rate in our study population was n= 4 (7.69%) in ICP monitoring groupand n= 5 (10.41%) in the control group having a p value of 0.04, the neurological outcome in thetwo groups also had statistically significant differences, having a p value of 0.03. Conclusion: Inour study we found a lower incidence of secondary brain herniation in patients who underwentcontinuous intracranial pressure monitoring as compared to control group, furthermore thesepatients had better neurological outcomes.

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Bhatt, Mohammed Wasim, and Sparsh Sharma. "An IoMT-Based Approach for Real-Time Monitoring Using Wearable Neuro-Sensors." Journal of Healthcare Engineering 2023 (February 13, 2023): 1–10. http://dx.doi.org/10.1155/2023/1066547.

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The Internet of Things (IoT) has demonstrated over the past few decades to be a powerful tool for connecting various medical equipment with in-built sensors and healthcare professionals to deliver superior health services that also reach remote areas. In addition to reducing healthcare costs, increasing access to clinical services, and enhancing operational effectiveness in the healthcare industry, it has also enhanced patient health safety. Recent research has focused on using EEG to assist and comprehend brain changes in rehabilitation facilities. These technologies can spot fluctuations in EEG constraints during treatment, which could result in more effective therapy and better functional outcomes. As a result, we have tried to use an IoT-based system for real-time monitoring of the constraints. Another unknown patient who is suffering from acute ischemic stroke may experience stroke-in-evolution or an early worsening of neurological symptoms, which is frequently associated with poor clinical outcomes. Because of this, managing an acute stroke requires early detection of these indications. The present investigation work will act as a standard reference for academic researchers, medical professionals, and everyone else involved in the use of IoMT. This study aims to anticipate strokes sooner and prevent their consequences by early intervention using an Internet of Things (IoT)-based system. Also, this study proposes usage of wearable equipment that can monitor and analyze brain signals for improved treatment and the prevention of stroke-related complications.

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Scapaticci, Rosa, Loreto Di Donato, Ilaria Catapano, and Lorenzo Crocco. "A FEASIBILITY STUDY ON MICROWAVE IMAGING FOR BRAIN STROKE MONITORING." Progress In Electromagnetics Research B 40 (2012): 305–24. http://dx.doi.org/10.2528/pierb12022006.

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Sztriha, Laszlo K., Ruth L. O’Gorman, Michel Modo, Gareth J. Barker, Steven C. R. Williams, and Lalit Kalra. "Monitoring Brain Repair in Stroke Using Advanced Magnetic Resonance Imaging." Stroke 43, no. 11 (November 2012): 3124–31. http://dx.doi.org/10.1161/strokeaha.111.649244.

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Walsh, Kyle B. "Non-invasive sensor technology for prehospital stroke diagnosis: Current status and future directions." International Journal of Stroke 14, no. 6 (July 26, 2019): 592–602. http://dx.doi.org/10.1177/1747493019866621.

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Background The diagnosis of stroke in the prehospital environment is the subject of intense interest and research. There are a number of non-invasive external brain monitoring devices in development that utilize various technologies to function as sensors for stroke and other neurological conditions. Future increased use of one or more of these devices could result in substantial changes in the current processes for stroke diagnosis and treatment, including transportation of stroke patients by emergency medical services. Aims The present review will summarize information about 10 stroke sensor devices currently in development, utilizing various forms of technology, and all of which are external, non-invasive brain monitoring devices. Summary of review Ten devices are discussed including the technology utilized, the indications for use (stroke and, when relevant, other neurological conditions), the environment(s) indicated for use (with a focus on the prehospital setting), a description of the physical structure of each instrument, and, when available, findings that have been published in peer-reviewed journals or otherwise reported. The review is organized based on the technology utilized by each device, and seven distinct forms were identified: accelerometers, electroencephalography (EEG), microwaves, near-infrared, radiofrequency, transcranial doppler ultrasound, and volumetric impedance phase shift spectroscopy. Conclusions Non-invasive external brain monitoring devices are in various stages of development and have promise as stroke sensors in the prehospital setting. Some of the potential applications include to differentiate stroke from non-stroke, ischemic from hemorrhage stroke, and large vessel occlusion (LVO) from non-LVO ischemic stroke. Successful stroke diagnosis prior to hospital arrival could transform the current diagnostic and treatment paradigm for this disease.

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Liu, Shuang, Jie Guo, Jiayuan Meng, Zhijun Wang, Yang Yao, Jiajia Yang, Hongzhi Qi, and Dong Ming. "Abnormal EEG Complexity and Functional Connectivity of Brain in Patients with Acute Thalamic Ischemic Stroke." Computational and Mathematical Methods in Medicine 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/2582478.

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Ischemic thalamus stroke has become a serious cardiovascular and cerebral disease in recent years. To date the existing researches mostly concentrated on the power spectral density (PSD) in several frequency bands. In this paper, we investigated the nonlinear features of EEG and brain functional connectivity in patients with acute thalamic ischemic stroke and healthy subjects. Electroencephalography (EEG) in resting condition with eyes closed was recorded for 12 stroke patients and 11 healthy subjects as control group. Lempel-Ziv complexity (LZC), Sample Entropy (SampEn), and brain network using partial directed coherence (PDC) were calculated for feature extraction. Results showed that patients had increased mean LZC and SampEn than the controls, which implied the stroke group has higher EEG complexity. For the brain network, the stroke group displayed a trend of weaker cortical connectivity, which suggests a functional impairment of information transmission in cortical connections in stroke patients. These findings suggest that nonlinear analysis and brain network could provide essential information for better understanding the brain dysfunction in the stroke and assisting monitoring or prognostication of stroke evolution.

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Et. al., Ganesh Birajadar,. "Epilepsy Identification using EEG signal monitoring." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 10, 2021): 2366–71. http://dx.doi.org/10.17762/turcomat.v12i2.2022.

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Electroencephalogram (EEG) is nothing but measuring electric activity of brain. EEG is non-stationary signal. EEG characterizes human behavior. There are many brain abnormalities that can be identified and treated using EEG behavior analysis. As per researchers study Epilepsy is commonly happening disorder that is getting spread over the time. It is nothing but sudden stroke in brain where patient suffers from unusual activities seizures. Sometimes symptoms are such severe that ignorance leads to death. So it is important to identify its earlier symptoms and treat it in time so as to avoid risk. EEG signals are used for getting features in time as well as frequency domain. These features are further analyzed and classified to identify EEG abnormality.

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Ramsay, S. C., C. Weiller, R. Myers, J. E. Cremer, S. K. Luthra, A. A. Lammertsma, and R. S. J. Frackowiak. "Monitoring by PET of macrophage accumulation in brain after ischaemic stroke." Lancet 339, no. 8800 (April 1992): 1054–55. http://dx.doi.org/10.1016/0140-6736(92)90576-o.

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Allen, Baxter B., Caitlin E. Hoffman, Chani S. Traube, Steven L. Weinstein, and Jeffrey P. Greenfield. "Continuous Brain Tissue Oxygenation Monitoring in the Management of Pediatric Stroke." Neurocritical Care 15, no. 3 (March 17, 2011): 529–36. http://dx.doi.org/10.1007/s12028-011-9531-x.

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Allen. "Terapi Tissue Plasminogen Activator untuk Stroke Iskemik Akut." Cermin Dunia Kedokteran 50, no. 3 (March 1, 2023): 167–70. http://dx.doi.org/10.55175/cdk.v50i3.661.

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Prevalensi stroke terus meningkat setiap tahun. Penanganan kasus stroke harus dilakukan sesegera mungkin untuk memaksimalkan pemulihan serta mencegah berulang. Pada kasus stroke iskemik akut, pengobatan fibrinolitik tPA terbukti efektif. Beberapa kriteria pemberian harus dipenuhi. Pasien yang mendapat tPA harus mendapat observasi tekanan darah ketat dan memastikan tidak terjadi efek samping perdarahan. Hingga saat ini, hanya alteplase yang disetujui untuk pengobatan fibrinolitik pada pasien stroke iskemik akut. Telaah ilmiah berbasis bukti menunjukkan manfaat tPA lain. yaitu tenecteplase. The prevalence of stroke continues to increase. To minimize brain injury, prompt management is necessary to maximize patient recovery and prevent recurrent strokes. Fibrinolytic tPA has been proven to be effective for acute ischemic stroke. Several criteria must be met before tPA administration. Patients should receive close monitoring of blood pressure and for bleeding risk. Until recently, only tPA alteplase has been approved for fibrinolytic treatment in acute ischemic stroke. Several evidence-based studies have shown the benefits of tenecteplase - another tPA - in acute ischemic stroke management.

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Більше джерел

Книги з теми "Brain Stroke Monitoring"

Mayor, Diana, and Michael Tymianski. Neuroprotection for Acute Ischemic Stroke. Edited by David L. Reich, Stephan Mayer, and Suzan Uysal. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190280253.003.0010.

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Acute ischemic stroke (AIS) is the leading cause of acquired neurological disability worldwide. AIS most commonly occurs when a cerebral artery is occluded, leading to irreversible brain injury and neurologic disability. Acute supportive physiological interventions and close monitoring on a stroke unit are beneficial to optimize overall recovery and functional outcome. Phamacological treatment options are limited though as the only FDA-approved therapy for AIS is the thrombolytic agent intravenous recombinant tissue plasminogen activator (Alteplase, rtPA), which improves functional outcome in therapeutic time windows ranging up to 3–4.5 hours. Several clinical trials assessing the efficacy of endovascular therapy have shown a benefit in carefully selected patients with a documented large vessel occlusion (LVO), and subsequently are becoming part of the standard practice in this AIS subset. Clinical trials using various imaging paradigms to enhance patient selection for thrombolytic therapy, endovascular therapy and neuroprotection therapies are all progressing.

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Dietrich, W. Dalton. Physiologic Modulators of Neural Injury After Brain and Spinal Cord Injury. Edited by David L. Reich, Stephan Mayer, and Suzan Uysal. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190280253.003.0001.

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Brain and spinal cord injury are leading causes of death and long-term disability, producing diverse burdens for the affected individuals, their families, and society. Such injuries, including traumatic brain injury, stroke, subarachnoid hemorrhage, and spinal cord injury, have common patterns of neuronal cell vulnerability that are associated with a complex cascade of pathologic processes that trigger the propagation of tissue damage beyond the acute injury. Secondary injury mechanisms, including oxidative stress, edema formation, changes in cerebral blood flow and vessel reactivity, metabolic and blood–brain barrier disruption, and neuroinflammation, are therefore important therapeutic targets. Several key physiological parameters require monitoring and intensive management during various phases of treatment to ameliorate secondary injury mechanisms and potentially protect against further neuronal injury. This chapter reviews the core physiological targets in the management of brain and spinal cord injury and relates them to secondary injury mechanisms and outcomes.

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Reich, David L., Stephan A. Mayer, and Suzan Uysal, eds. Neuroprotection in Critical Care and Perioperative Medicine. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190280253.001.0001.

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Clinicians caring for patients are challenged by the task of protecting the brain and spinal cord in high-risk situations. These include following cardiac arrest, in critical care settings, and during complex procedural and surgical care. This book provides a comprehensive overview of various types of neural injury commonly encountered in critical care and perioperative contexts and the neuroprotective strategies used to optimize clinical outcomes. In addition to introductory chapters on the physiologic modulators of neural injury and pharmacologic neuroprotectants, the topics covered include: imaging assessment; tissue biomarker identification; monitoring; assessment of functional outcomes and postoperative cognitive decline; traumatic brain injury; cardiac arrest and heart-related issues such as valvular and coronary artery bypass surgery, aortic surgery and stenting, and vascular and endovascular surgery; stroke; intracerebral hemorrhage; mechanical circulatory support; sepsis and acute respiratory distress syndrome; neonatal issues; spinal cord injury and spinal surgery; and issues related to general, orthopedic, peripheral vascular, and ear, nose and throat surgeries.

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Evans, Charlotte, Anne Creaton, Marcus Kennedy, and Terry Martin, eds. Neurology and neurosurgery. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198722168.003.0012.

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Neurological and neurosurgical emergencies require a time-critical response from retrieval services. Critical care interventions must be performed efficiently and the patient transferred to definitive care for intervention. Retrieval practitioners have a big role to play in preventing secondary brain injury by instituting neuroprotective measures early to ensure the best possible outcomes. Close monitoring is required to detect complications such as seizures and rising intracranial pressure. Skilled assessment and management of traumatic and non-traumatic intracranial haemorrhage is core business for retrieval services. New interventions for acute stroke have developed, further highlighting the requirement to get the right patient to the right facility at the right time. It is acknowledged that critical care interventions are not always appropriate for all patients. Local clinicians must also be supported by retrieval services to provide end of life care locally.

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Evans, Charlotte, Anne Creaton, Marcus Kennedy, and Terry Martin, eds. Bariatric retrieval. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198722168.003.0015.

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Neurological and neurosurgical emergencies require a time-critical response from retrieval services. Critical care interventions must be performed efficiently and the patient transferred to definitive care for intervention. Retrieval practitioners have a big role to play in preventing secondary brain injury by instituting neuroprotective measures early, to ensure the best possible outcomes. Close monitoring is required to detect complications such as seizures and rising intracranial pressure. Skilled assessment and management of traumatic and non-traumatic intracranial haemorrhage is core business for retrieval services. New interventions for acute stroke have developed, further highlighting the requirement to get the right patient to the right facility at the right time. It is acknowledged that critical care interventions are not always appropriate for all patients. Local clinicians must also be supported by retrieval services to provide end of life care locally.

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Частини книг з теми "Brain Stroke Monitoring"

Reis, Cesar, Onat Akyol, Wing Man Ho, Richard Applegate, Gary Stier, Robert Martin, and John Zhang. "Brain Monitoring." In Springer Series in Translational Stroke Research, 55–69. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16082-1_4.

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Chou, Chung-Hsing, Francesca Nicholls, and Michel Modo. "Image-Guided Injection and Noninvasive Monitoring of Tissue Regeneration in the Stroke-Damaged Brain." In Cell-Based Therapies in Stroke, 93–104. Vienna: Springer Vienna, 2012. http://dx.doi.org/10.1007/978-3-7091-1175-8_7.

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Hamidipour, Abouzar, Tommy Henriksson, Markus Hopfer, Ramon Planas, and Serguei Semenov. "Electromagnetic Tomography for Brain Imaging and Stroke Diagnostics: Progress Towards Clinical Application." In Emerging Electromagnetic Technologies for Brain Diseases Diagnostics, Monitoring and Therapy, 59–86. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75007-1_4.

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Maruthi, R., Anitha S. Pillai, and Bindu Menon. "An Experimental Study for Monitoring the Changes in the Brain Stroke Images Using Image Similarity Measures." In Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021), 493–501. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96302-6_46.

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Çayören, Mehmet, and İbrahim Akduman. "Continuous Monitoring of Hemorrhagic Strokes via Differential Microwave Imaging." In Emerging Electromagnetic Technologies for Brain Diseases Diagnostics, Monitoring and Therapy, 37–57. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75007-1_3.

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Chen, Yun-Hsuan, and Mohamad Sawan. "Monitoring Brain Activities Using fNIRS to Avoid Stroke." In Infrared Spectroscopy - Perspectives and Applications [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105461.

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Functional near-infrared spectroscopy (fNIRS) is an emerging wearable neuroimaging technique based on monitoring the hemodynamics of brain activity. First, the operation principle of fNIRS is described. This includes introducing the absorption spectra of the targeted molecule: the oxygenated and deoxygenated hemoglobin. Then, the optical path formed by emitters and detectors and the concentration of the molecules is determined using Beer-Lambert law. In the second part, the advantages of applying fNIRS are compared with other neuroimaging techniques, such as computed tomography and magnetic resonance imaging. The compared parameters include time and spatial resolution, immobility, etc. Next, the evolution of the fNIRS devices is shown. It includes the commercially available systems and the others under construction in academia. In the last section, the applications of fNIRS to avoid stroke are presented. The challenges of achieving good signal quality and high user comfort monitoring on stroke patients are discussed. Due to the wearable, user-friendly, and accessibility characteristics of fNIRS, it has the potential to be a complementary technique for real-time bedside monitoring of stroke patients. A stroke risk prediction system can be implemented to avoid stroke by combining the recorded fNIRS signals, routinely monitored physiological parameters, electronic health records, and machine learning models.

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Ayodele, Maranatha, and Kristine O’Phelan. "Multimodality Monitoring." In Neurocritical Care, edited by Maranatha Ayodele and Kristine O’Phelan, 155–64. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199375349.003.0015.

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Advancements in the critical care of patients with various forms of acute brain injury (traumatic brain injury, subarachnoid hemorrhage, stroke, etc.) in its current evolution recognizes that in addition to the initial insult, there is a secondary cascade of physiological events in the injured brain that contribute significantly to morbidity and mortality. Multimodality monitoring (MMM) in neurocritical care aims to recognize this secondary cascade in a timely manner. With early recognition, critical care of brain-injured patients may then be tailored to preventing and alleviating this secondary injury. MMM includes a variety of invasive and noninvasive techniques aimed at monitoring brain physiologic parameters such as intracranial pressure, perfusion, oxygenation, blood flow, metabolism, and electrical activity. This chapter provides an overview of these techniques and offers a practical guide to their integration and use in the intensive care setting.

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Hari, Riitta, and Aina Puce. "Brain Disorders." In MEG-EEG Primer, edited by Riitta Hari and Aina Puce, 294–303. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190497774.003.0019.

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This chapter discusses clinical applications of spontaneous EEG and MEG as well as evoked responses in epileptic and stroke patients, and in presurgical mapping (including identification of the central sulcus). EEG and MEG remain, due to their excellent temporal resolution, the methods par excellence for diagnosing and identifying epileptic syndromes. Timing of discharges can differentiate primary and secondary (mirror) epileptic foci. In contrast to studies of clinical populations for research purposes, clinical assessment is always based on findings in individual subjects, and the tests thus have to be reliable with high specificity and high sensitivity, showing statistically significant differences compared with normative values of healthy subjects with similar attributes, including age. The chapter ends by discussing EEG monitoring in coma or brain death.

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Alex, Suja A., Ponkamali S., Andrew T. R., N. Z. Jhanjhi, and Muhammad Tayyab. "Machine Learning-Based Wearable Devices for Smart Healthcare Application With Risk Factor Monitoring." In Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence, 174–85. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9201-4.ch009.

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The stroke is an important health burden around the world that occurs due to the block of blood supply to the brain. The interruption of blood supply depends on either the sudden blood supply interruption to the brain or a blood vessel leak in tissues. It is tricky to treat stroke-affected patients because the accurate time of stroke is unknown. Internet of things (IoT) is an active field and plays a major role in stroke prediction. Many machines learning (ML) techniques have been used to automate the process and enable many machines to detect the prediction rate of stroke and analyze the risk factor. The ML-based wearable device plays a significant role in making real-time decisions that benefit stroke patients. The parameters such as risk factors associated with stroke and wearable sensors and machine learning techniques for stroke prediction are discussed.

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Raghunathan, Senthil. "Diagnostic investigations for stroke in older people: A practical approach." In Stroke in the Older Person, 65–84. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198747499.003.0006.

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‘Diagnostic investigations for stroke in older people: A practical approach’ examines in some detail the challenges of formulating a thorough and simultaneously pragmatic approach to investigating older people with stroke. Diagnostic investigation plays an important role along with a comprehensive history and thorough clinical examination in assessing severity, prognosis, and initiating appropriate management. This chapter describes emergency investigations, brain imaging, biochemical and haematological investigations, the importance of electrocardiography and prolonged cardiac monitoring (including evidence from recent trials), echocardiography, the role of vascular imaging including ultrasonography and angiography. It also discusses the importance of performing all the essential investigations and the evidence for investigating stroke in the frail older person.

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Тези доповідей конференцій з теми "Brain Stroke Monitoring"

Stevanovic, Marija Nikolic, Rosa Scapaticci, and Lorenzo Crocco. "Compressive sensing techniques for brain stroke monitoring." In 2016 10th European Conference on Antennas and Propagation (EuCAP). IEEE, 2016. http://dx.doi.org/10.1109/eucap.2016.7481514.

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Chen, Siyu, Qi Liu, Shanbao Tong, and Hao F. Zhang. "Monitoring Mouse Cerebral Circulation Oxygenation after Ischemic Stroke Using Visible-Light Optical Coherence Tomography." In Optics and the Brain. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/brain.2017.brw3b.5.

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Bisio, Igor, Claudio Estatico, Alessandro Fedeli, Fabio Lavagetto, Matteo Pastorino, Andrea Randazzo, Andrea Sciarrone, and Emanuele Tavanti. "An Imaging Technique for Brain Stroke Monitoring at Microwaves." In 2018 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2018. http://dx.doi.org/10.1109/ist.2018.8577144.

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Rodriguez-Duarte, D. O., J. A. Tobon, and F. Vipiana. "Realistic Numerical Modelling for 3-D brain stroke monitoring." In 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting. IEEE, 2020. http://dx.doi.org/10.1109/ieeeconf35879.2020.9330341.

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Tobon Vasquez, J. A., D. O. Rodriguez-Duarte, C. Origlia, G. Turvani, R. Scapaticci, M. R. Casu, L. Crocco, and F. Vipiana. "Microwave Imaging Device Prototype for Brain Stroke 3D Monitoring." In 2022 International Workshop on Antenna Technology (iWAT). IEEE, 2022. http://dx.doi.org/10.1109/iwat54881.2022.9810905.

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Stevanovic, M. N., R. Scapaticci, and L. Crocco. "Three-Dimensional Sparse Microwave Imaging for Brain Stroke Monitoring." In 12th European Conference on Antennas and Propagation (EuCAP 2018). Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/cp.2018.0771.

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Aponte-Becerra, Laura, Rodrigo Quispe, Laura Mendez-Pino, Vera Novak, Magdy Selim, and Vasileios-Arsenios Lioutas. "Continuous glucose monitoring in acute stroke." In the 8th International Workshop on Innovative Simulation for Healthcare. CAL-TEK srl, 2019. http://dx.doi.org/10.46354/i3m.2019.iwish.016.

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"Hyperglycaemia upon admission is a pathophysiological response to acute brain ischemia that has been independently associated with high mortality rate and poor prognosis. Glycaemic variability (GV) has also shown association with poor clinical outcomes among stroke patients. GV is best assessed by continuous glucose monitoring (CGM), which enables consecutives glucose measurements every 5 minutes. This pilot study aimed: 1) To describe safety, feasibility and tolerability of CGM in the acute stroke setting; and 2) To compare CGM and conventional FS glucose-based monitoring regimen in terms of their relationship with GUA and the accuracy of hypoglycaemic episodes detection. Safety, feasibility and tolerability of CGM was excellent in our cohort of 23 patients with acute stroke (61% ischemic and 39% intracerebral haemorrhage) and there were no adverse events. CGM recorded ten hypoglycaemic episodes that were not detected by conventional FS monitoring. GUA was associated with coefficient of variation (CV) of CGM (p=0.03), CV of FS (p=0.01), standard deviation (SD) of CGM (p-value=0.01) and mean amplitude of glucose excursions (MAGE) (pvalue= 0.001)."

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Stevanovic, Marija Nikolic, Rosa Scapaticci, and Lorenzo Crocco. "Brain stroke monitoring using compressive sensing and higher order basis functions." In 2017 11th European Conference on Antennas and Propagation (EUCAP). IEEE, 2017. http://dx.doi.org/10.23919/eucap.2017.7928671.

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Tobon V., Jorge A., Lorenzo Crocco, and Francesca Vipiana. "Experimental Validation of a 3D Microwave Imaging Device for Brain Stroke Monitoring." In 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). IEEE, 2020. http://dx.doi.org/10.23919/ursigass49373.2020.9232195.

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Origlia, C., D. O. Rodriguez-Duarte, J. A. Tobon Vasquez, and F. Vipiana. "Hybrid Imaging Kernel Calibration Applied on Microwave Scanner for Brain Stroke Monitoring." In 2022 IEEE Conference on Antenna Measurements and Applications (CAMA). IEEE, 2022. http://dx.doi.org/10.1109/cama56352.2022.10002576.

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