Claas Strodthoff's research while affiliated with University Medical Center Schleswig-Holstein and other places
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Publications (14)
Objective
Viral lower respiratory tract infections (LRTI) are the leading cause for acute admission to the intensive care unit in infants and young children. Nebulized bronchodilators are often used when treating the most severe cases. Aim of this study was to investigate the bronchodilator effect on respiratory mechanics during intensive care with...
This chapter gives an overview of medical imaging methods that are used for generation of pulmonary images and it assesses their suitability for implementation into wearable instruments. It focuses on the noninvasive radiation-free method of electrical impedance tomography (EIT) which exhibits a high potential for clinical use in a wearable design....
Rationale:
Electrical impedance tomography (EIT) allows instantaneous and continuous visualization of regional ventilation and changes in end-expiratory lung volume at the bedside. There is particular interest in using EIT for monitoring in critically ill neonates and young children with respiratory failure. Previous studies have focused only on s...
The aim of this study was to examine whether electrical impedance tomography (EIT) could determine the presence of ventilation inhomogeneity in patients with chronic obstructive lung disease (COPD) from measurements carried out not only during conventional forced full expiration maneuvers but also from forced inspiration maneuvers and quiet tidal b...
Patients suffering from pulmonary diseases typically exhibit pathological lung ventilation in terms of homogeneity. Electrical Impedance Tomography (EIT) is a non- invasive imaging method that allows to analyze and quantify the distribution of ventilation in the lungs. In this article, we present a new approach to promote the use of EIT data and th...
Patients suffering from pulmonary diseases typically exhibit pathological lung ventilation in terms of homogeneity. Electrical Impedance Tomography (EIT) is a non-invasive imaging method that allows to analyze and quantify the distribution of ventilation in the lungs. In this article, we present a new approach to promote the use of EIT data and the...
Objective:
In this paper, an automated stable tidal breathing period (STBP) identification method based on processing Electrical Impedance Tomography (EIT) waveforms is proposed and the possibility of detecting and identifying such periods using EIT waveforms is analyzed. In wearable chest EIT, patients breathe spontaneously, and therefore, their...
Electrical impedance tomography (EIT) is a non-invasive imaging modality that allows a continuous assessment of changes in regional bioimpedance of different organs. One of its most common biomedical applications is monitoring regional ventilation distribution in critically ill patients treated in intensive care units. In this work, we put forward...
Background/Objectives Choosing ventilator settings, especially positive end-expiratory pressure (PEEP), is a very common and non-trivial task in intensive care units (ICUs). Established solutions to this problem are either poorly individualised or come with high costs in terms of used material or time. We propose a novel method relying on machine l...
Electrical impedance tomography (EIT) is a noninvasive imaging modality that allows a continuous assessment of changes in regional bioimpedance of different organs. One of its most common biomedical applications is monitoring regional ventilation distribution in critically ill patients treated in intensive care units. In this work, we put forward a...
Objective:
We aim to provide an algorithm for the detection of myocardial infarction that operates directly on ECG data without any preprocessing and to investigate its decision criteria.
Approach:
We train an ensemble of fully convolutional neural networks on the PTB ECG dataset and apply state-of-the-art attribution methods.
Main results:
Ou...
We consider the detection of myocardial infarction in electrocardiography (ECG) data as provided by the PTB ECG database without non-trivial preprocessing. The classification is carried out using deep neural networks in a comparative study involving convolutional as well as recurrent neural network architectures. The best architecture, an ensemble...
Citations
... In addition, also Electrical impedance tomography (EIT) could be useful in this context. EIT is a non-invasive monitoring technique that can be used to assess the regional inhomogeneity, both during quiet and forced breathing [19]. Static and dynamic volumes may be indeed preserved in PCS patients with dyspnea [20], but their relative distribution may be altered. ...
... Lung ultrasound is becoming much more widely available and accessible, and can be used as a diagnostic tool, to guide respiratory support, and predict outcomes (52,53). Electrical impedance tomography is an up-and-coming non-invasive method used to define pulmonary physiology and describe regional lung aeration and mechanics, and to guide the titration of positive end-expiratory pressure (54,55). Additionally, the forced oscillation technique or respiratory oscillometry can be used to provide an assessment of respiratory reactance and resistance, and can be applied during intubation and spontaneous breathing, to identify the requirement for surfactant therapy and predict preterm respiratory outcomes (56,57). ...
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... EIT is a low-cost, non-radiation, and real-time imaging technique. Therefore, it has been used in functional lung imaging [3][4][5][6][7][8], breast cancer detection [9,10], and brain injury monitoring [11][12][13]. Owing to variability in the electrical resistivity of tissues in the cranial brain and the changes in tissue resistivity following brain injury, EIT can enable dynamic bedside monitoring and risk, warning of brain injury [14]. ...
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... Also, neither of the two equipments is suitable for bedside monitoring. In recent years, electrical impedance tomography (EIT) has received considerable research interest [37,43,41,9,44,5]. Compared with CT and MRI, EIT is portable, non-invasive and inexpensive, which makes it more suitable for bedside monitoring of patients. ...
... Studies have shown that PTX as low as 20 ml can be detected by EIT in pigs [10][11][12]. Some case reports stated that EIT can be used for the early diagnosis of PTX and monitoring the progression [13][14][15]. Up to now, the use of EIT for PTX was reported on a case-by-case basis, and no clinical studies explored the possibility of routine assessment of PTX with EIT. ...
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... Prominently, LRP has been applied to explain time series classifiers in the domain of gait analysis, [18], audio classification [19], ECG [20,21] and EEG [12]. Other examples of established XAI methods applied to time series are Gradient × Input (G×I) for ECG data [22], Integrated Gradient for hydrology [23], or [24] adopted Grad-CAM for generic time series from the UCR dataset. All of these methods produce attribution scores for single time points. ...
