Christoph Hoog Antink
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View article: Clinical translation of 3D-printed patient-specific bone implants: a consensus statement
Clinical translation of 3D-printed patient-specific bone implants: a consensus statement Open
Background: Extensive defects in long bones, resulting from trauma, disease, or other etiologies, impose significant morbidity on patients and may necessitate amputation, long-term disability, or premature mortality. While three-dimensiona…
View article: An Automated System for Frequency-Differential Data Collection in EIT
An Automated System for Frequency-Differential Data Collection in EIT Open
Electrical Impedance Tomography (EIT) is an innovative imaging modality that offers significant advantages for real-time monitoring due to its safety, low cost, and portability. In domains such as tumor detection, frequency-difference EIT …
View article: tinyHLS: a novel open source high level synthesis tool targeting hardware accelerators for artificial neural network inference
tinyHLS: a novel open source high level synthesis tool targeting hardware accelerators for artificial neural network inference Open
Objective. In recent years, wearable devices such as smartwatches and smart patches have revolutionized biosignal acquisition and analysis, particularly for monitoring electrocardiography (ECG). However, the limited power supply of these d…
View article: On the Benefit of FMG and EMG Sensor Fusion for Gesture Recognition Using Cross-Subject Validation
On the Benefit of FMG and EMG Sensor Fusion for Gesture Recognition Using Cross-Subject Validation Open
Hand gestures are a natural form of human communication, making gesture recognition a sensible approach for intuitive human-computer interaction. Wearable sensors on the forearm can be used to detect the muscle contractions that generate t…
View article: Multimodal non-invasive assessment of peripheral circulation in chronic limb-threatening ischemia, OptiVasc Project
Multimodal non-invasive assessment of peripheral circulation in chronic limb-threatening ischemia, OptiVasc Project Open
View article: Accuracy Evaluation of 3D Pose Reconstruction Algorithms Through Stereo Camera Information Fusion for Physical Exercises with MediaPipe Pose
Accuracy Evaluation of 3D Pose Reconstruction Algorithms Through Stereo Camera Information Fusion for Physical Exercises with MediaPipe Pose Open
In recent years, significant research has been conducted on video-based human pose estimation (HPE). While monocular two-dimensional (2D) HPE has been shown to achieve high performance, monocular three-dimensional (3D) HPE poses a more cha…
View article: Sensing In Exergames for Efficacy and Motion Quality: Scoping Review of Recent Publications
Sensing In Exergames for Efficacy and Motion Quality: Scoping Review of Recent Publications Open
Background Many studies have shown a direct relationship between physical activity and health. It has also been shown that the average fitness level in Western societies is lower than recommended by the World Health Organization. One tool …
View article: Deep learning-based voxel sampling for particle therapy treatment planning
Deep learning-based voxel sampling for particle therapy treatment planning Open
Objective. Scanned particle therapy often requires complex treatment plans, robust optimization, as well as treatment adaptation. Plan optimization is especially complicated for heavy ions due to the variable relative biological effectiven…
View article: Video-based analysis of the blink reflex in Parkinson’s disease patients
Video-based analysis of the blink reflex in Parkinson’s disease patients Open
We developed a video-based tool to quantitatively assess the Glabellar Tap Reflex (GTR) in patients with idiopathic Parkinson’s disease (iPD) as well as healthy age-matched participants. We also video-graphically assessed the effect of dop…
View article: Multiple instance learning framework can facilitate explainability in murmur detection
Multiple instance learning framework can facilitate explainability in murmur detection Open
Objective Cardiovascular diseases (CVDs) account for a high fatality rate worldwide. Heart murmurs can be detected from phonocardiograms (PCGs) and may indicate CVDs. Still, they are often overlooked as their detection and correct clinical…
View article: An extensive quantitative analysis of the effects of errors in beat-to-beat intervals on all commonly used HRV parameters
An extensive quantitative analysis of the effects of errors in beat-to-beat intervals on all commonly used HRV parameters Open
View article: Methods and evaluation of physiological measurements with acoustic stimuli—a systematic review
Methods and evaluation of physiological measurements with acoustic stimuli—a systematic review Open
Objective. The detection of psychological loads, such as stress reactions, is receiving greater attention and social interest, as stress can have long-term effects on health O’Connor, Thayer and Vedhara (2021 Ann. Rev. Psychol. 72 , 663–68…
View article: Analyzing the Effect of Age and Gender on the Blink Reflex using MediaPipe
Analyzing the Effect of Age and Gender on the Blink Reflex using MediaPipe Open
The glabellar tapping reflex (GTR) is a sign related to brain conditions and can be analyzed by clinicians for diagnostic purposes. To facilitate the quantitative analysis of this reflex, we developed a video-based tool using the MediaPipe…
View article: Accuracy Evaluation of 3D Pose Estimation with MediaPipe Pose for Physical Exercises
Accuracy Evaluation of 3D Pose Estimation with MediaPipe Pose for Physical Exercises Open
With the recent increase in interest in machine learning and computer vision, camera-based pose estimation has emerged as a promising new technology. One of the most popular libraries for camera-based pose estimation is MediaPipe Pose due …
View article: Limitations of Pacemaker Spike Detection in Capacitive ECGs via Deep Learning
Limitations of Pacemaker Spike Detection in Capacitive ECGs via Deep Learning Open
Pacemaker spike detection is an important step in monitoring paced patients. Capacitive ECG facilitates unobtrusive monitoring of subjects during daily routines such as driving. Robust algorithms are required to deal with low signal qualit…
View article: Sensing In Exergames for Efficacy and Motion Quality: Scoping Review of Recent Publications (Preprint)
Sensing In Exergames for Efficacy and Motion Quality: Scoping Review of Recent Publications (Preprint) Open
BACKGROUND Many studies have shown a direct relationship between physical activity and health. It has also been shown that the average fitness level in Western societies is lower than recommended by the World Health Organization. One tool…
View article: Video-based Analysis of the Blink Reflex in Parkinson’s Disease Patients
Video-based Analysis of the Blink Reflex in Parkinson’s Disease Patients Open
We developed a video-based tool to quantitatively assess the Glabellar Tap Reflex (GTR) in patients with idiopathic Parkinson’s Disease (iPD) patients as well as healthy age-matched subjects. We also video-graphically assessed the effect o…
View article: An extensive quantitative analysis of the effects of errors in beat-to-beat intervals on all commonly used HRV parameters
An extensive quantitative analysis of the effects of errors in beat-to-beat intervals on all commonly used HRV parameters Open
Heart rate variability (HRV) analysis is often used to estimate human health and fitness status. More specifically, a range of parameters that express the variability in beat-to-beat intervals are calculated from electrocardiogram beat det…
View article: On the Atrial Fibrillation Detection Performance of ECG-DualNet
On the Atrial Fibrillation Detection Performance of ECG-DualNet Open
Atrial Fibrillation (AF) is a severe cardiac arrhythmia affecting a significant amount of the human population [1]. Quick diagnosis and treatment are critical in reducing the risk of severe sequelae such as stroke or heart failure. Rohr et…
View article: Estimating Thoracic Movement with High-Sampling Rate THz Technology
Estimating Thoracic Movement with High-Sampling Rate THz Technology Open
We use a high-sampling rate terahertz (THz) homodyne spectroscopy system to estimate thoracic movement from healthy subjects performing breathing at different frequencies. The THz system provides both the amplitude and phase of the THz wav…
View article: Automatic Generation of Labeled Data for Video-Based Human Pose Analysis via NLP applied to YouTube Subtitles
Automatic Generation of Labeled Data for Video-Based Human Pose Analysis via NLP applied to YouTube Subtitles Open
With recent advancements in computer vision as well as machine learning (ML), video-based at-home exercise evaluation systems have become a popular topic of current research. However, performance depends heavily on the amount of available …
View article: Multi-modal body part segmentation of infants using deep learning
Multi-modal body part segmentation of infants using deep learning Open
Background Monitoring the body temperature of premature infants is vital, as it allows optimal temperature control and may provide early warning signs for severe diseases such as sepsis. Thermography may be a non-contact and wireless alter…
View article: Design of Hardware Accelerators for Optimized and Quantized Neural Networks to Detect Atrial Fibrillation in Patch ECG Device with RISC-V
Design of Hardware Accelerators for Optimized and Quantized Neural Networks to Detect Atrial Fibrillation in Patch ECG Device with RISC-V Open
Atrial Fibrillation (AF) is one of the most common heart arrhythmias. It is known to cause up to 15% of all strokes. In current times, modern detection systems for arrhythmias, such as single-use patch electrocardiogram (ECG) devices, have…
View article: Multiple Instance Learning Framework can Facilitate Explainability in Murmur Detection
Multiple Instance Learning Framework can Facilitate Explainability in Murmur Detection Open
Objective Cardiovascular diseases (CVDs) account for a high fatality rate worldwide. Heart murmurs can be detected from phonocardiograms (PCGs) and may indicate CVDs. Still they are often overlooked as their detection and correct clinical …
View article: DeepPlayer: An open‐source SignalPlant plugin for deep learning inference
DeepPlayer: An open‐source SignalPlant plugin for deep learning inference Open
Background and Objective Machine learning has become a powerful tool in several computation domains. The most progressive way of machine learning, deep learning, has already surpassed several algorithms designed by human experts. It also a…
View article: Video-Based Hand Movement Analysis of Parkinson Patients before and after Medication Using High-Frame-Rate Videos and MediaPipe
Video-Based Hand Movement Analysis of Parkinson Patients before and after Medication Using High-Frame-Rate Videos and MediaPipe Open
Tremor is one of the common symptoms of Parkinson’s disease (PD). Thanks to the recent evolution of digital technologies, monitoring of PD patients’ hand movements employing contactless methods gained momentum. Objective: We aimed to quant…
View article: Accuracy enhancement in reflective pulse oximetry by considering wavelength-dependent pathlengths
Accuracy enhancement in reflective pulse oximetry by considering wavelength-dependent pathlengths Open
Objective. Noninvasive measurement of oxygen saturation ( SpO 2 ) using transmissive photoplethysmography (tPPG) is clinically accepted and widely employed. However, reflective photoplethysmography (rPPG)—currently present in smartwatches—…
View article: Estimation of the respiratory rate from ballistocardiograms using the Hilbert transform
Estimation of the respiratory rate from ballistocardiograms using the Hilbert transform Open
View article: Inference runtime of a neural network to detect atrial fibrillation on customized RISC-V-based hardware
Inference runtime of a neural network to detect atrial fibrillation on customized RISC-V-based hardware Open
As a common heart arrhythmia, atrial fibrillation(AF) is considered to be responsible for up to 15 % of allstrokes. For the diagnosis of AF, long term electrocardiogram(ECG) recordings are widely used. These recordings are ob-tained by Hol…
View article: Exploring novel algorithms for atrial fibrillation detection by driving graduate level education in medical machine learning
Exploring novel algorithms for atrial fibrillation detection by driving graduate level education in medical machine learning Open
During the lockdown of universities and the COVID-Pandemic most students were restricted to their homes. Novel and instigating teaching methods were required to improve the learning experience and so recent implementations of the annual Ph…