Bernhard Kohn
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View article: Particle Detection Using Magnetic Avalanches in Single-Molecule Magnet Crystals
Particle Detection Using Magnetic Avalanches in Single-Molecule Magnet Crystals Open
The detection of a single quantum of energy with high efficiency and a low false positive rate is of considerable scientific interest, from serving as single quantum sensors of optical and infra-red photons to enabling the direct detection…
View article: TipSegNet: Fingertip Segmentation in Contactless Fingerprint Imaging
TipSegNet: Fingertip Segmentation in Contactless Fingerprint Imaging Open
Contactless fingerprint recognition systems offer a hygienic, user-friendly, and efficient alternative to traditional contact-based methods. However, their accuracy heavily relies on precise fingertip detection and segmentation, particular…
View article: Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approach
Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approach Open
Fingerprint mosaicking, which is the process of combining multiple fingerprint images into a single master fingerprint, is an essential process in modern biometric systems. However, it is prone to errors that can significantly degrade fing…
View article: TipSegNet: Fingertip Segmentation in Contactless Fingerprint Imaging
TipSegNet: Fingertip Segmentation in Contactless Fingerprint Imaging Open
Contactless fingerprint recognition systems offer a hygienic, user-friendly, and efficient alternative to traditional contact-based methods. However, their accuracy heavily relies on precise fingertip detection and segmentation, particular…
View article: FingerUNeSt++: Improving Fingertip Segmentation in Contactless Fingerprint Imaging Using Deep Learning
FingerUNeSt++: Improving Fingertip Segmentation in Contactless Fingerprint Imaging Using Deep Learning Open
Biometric identification systems, particularly those utilizing fingerprints, have become essential as a means of authenticating users due to their reliability and uniqueness. The recent shift towards contactless fingerprint sensors require…
View article: Toward Synthetic Physical Fingerprint Targets
Toward Synthetic Physical Fingerprint Targets Open
Biometric fingerprint identification hinges on the reliability of its sensors; however, calibrating and standardizing these sensors poses significant challenges, particularly in regards to repeatability and data diversity. To tackle these …
View article: Towards Synthetic, Physical Fingerprint Targets
Towards Synthetic, Physical Fingerprint Targets Open
Biometric fingerprint identification hinges on the reliability of its sensors, however, calibrating and standardizing these sensors poses significant challenges, particularly in regard to repeatability and data diversity. To tackle these i…
View article: Centrality of the Fingerprint Core Location
Centrality of the Fingerprint Core Location Open
Fingerprints have long been recognized as a unique and reliable means of personal identification. Central to the analysis and enhancement of fingerprints is the concept of the fingerprint core. Although the location of the core is used in …
View article: Improved automatic identification of isolated rapid eye movement sleep behavior disorder with a <scp>3D</scp> time‐of‐flight camera
Improved automatic identification of isolated rapid eye movement sleep behavior disorder with a <span>3D</span> time‐of‐flight camera Open
Background and purpose Automatic 3D video analysis of the lower body during rapid eye movement (REM) sleep has been recently proposed as a novel tool for identifying people with isolated REM sleep behavior disorder (iRBD), but, so far, it …
View article: Improving Sensor Interoperability between Contactless and Contact‐Based Fingerprints Using Pose Correction and Unwarping
Improving Sensor Interoperability between Contactless and Contact‐Based Fingerprints Using Pose Correction and Unwarping Open
Current fingerprint identification systems face significant challenges in achieving interoperability between contact‐based and contactless fingerprint sensors. In contrast to existing literature, we propose a novel approach that can combin…
View article: Fidgety Philip and the Suggested Clinical Immobilization Test: Annotation data for developing a machine learning algorithm
Fidgety Philip and the Suggested Clinical Immobilization Test: Annotation data for developing a machine learning algorithm Open
The cartoon Fidgety Philip, the banner of Western-ADHD diagnosis, depicts a 'restless' child exhibiting hyperactive-behaviors with hyper-arousability and/or hypermotor-restlessness (H-behaviors) during sitting. To overcome the gaps between…
View article: Automated 3D video analysis of lower limb movements during REM sleep: a new diagnostic tool for isolated REM sleep behavior disorder
Automated 3D video analysis of lower limb movements during REM sleep: a new diagnostic tool for isolated REM sleep behavior disorder Open
Study Objectives The differentiation of isolated rapid eye movement (REM) sleep behavior disorder (iRBD) or its prodromal phase (prodromal RBD) from other disorders with motor activity during sleep is critical for identifying α-synucleinop…
View article: Detection of Respiratory Events by Respiratory Effort and Oxygen Desaturation
Detection of Respiratory Events by Respiratory Effort and Oxygen Desaturation Open
Sleep respiratory events are scored based on the reduction of airflow measured by a thermistor or nasal pressure cannula, together with oxygen desaturation and arousal criteria for hypopneas. We investigated whether automatic scoring can b…
View article: 3D Camera and Pulse Oximeter for Respiratory Events Detection
3D Camera and Pulse Oximeter for Respiratory Events Detection Open
This method showed the potential to reliably detect respiratory events without airflow and respiratory belt sensors, sensors that can be uncomfortable to patients and susceptible to movement artefacts.
View article: Contactless detection of periodic leg movements during sleep: A 3D video pilot study
Contactless detection of periodic leg movements during sleep: A 3D video pilot study Open
In clinical practice, the quality of polysomnographic recordings in children and patients with neurodegenerative diseases may be affected by sensor displacement and diminished total sleep time due to stress during the recording. In the pre…
View article: Automated Detection of Movements During Sleep Using a 3D Time-of-Flight Camera: Design and Experimental Evaluation
Automated Detection of Movements During Sleep Using a 3D Time-of-Flight Camera: Design and Experimental Evaluation Open
Analyses of sleep-related movement disorders have gained importance due to an increase in life expectancy. The present approaches for measuring movements are based on electromyography or accelerometry and provide only local or specific res…
View article: A Novel Approach to Assess Sleep-Related Rhythmic Movement Disorder in Children Using Automatic 3D Analysis
A Novel Approach to Assess Sleep-Related Rhythmic Movement Disorder in Children Using Automatic 3D Analysis Open
Background: Unlike other episodic sleep disorders in childhood, there are no agreed severity indices for rhythmic movement disorder. While movements can be characterized in detail by polysomnography, in our experience most children inhibit…
View article: 0460 Detecting Respiratory Events By Respiratory Effort Derived From 3D Time-of-Flight Camera And SpO2
0460 Detecting Respiratory Events By Respiratory Effort Derived From 3D Time-of-Flight Camera And SpO2 Open
To calculate the Apnea-Hypopnea Index (AHI), the detection of apneas and hypopneas is performed using multiple sensors of a polysomnography (PSG) such as nasal airflow and respiratory inductance plethysmography (RIP). This setup is uncomfo…
View article: 0678 Contactless 3D Detection Of Leg Movements In Sleep
0678 Contactless 3D Detection Of Leg Movements In Sleep Open
Currently, the diagnosis of periodic leg movements during sleep (PLMS) is based on electromyography (EMG) of the tibialis anterior muscles. We analyzed leg movements by automatic 3D video analysis and compared it to detections by conventio…
View article: 0667 Learning To Phenotype RLS From Zappelphilipp (Fidgety Philip) Cartoons
0667 Learning To Phenotype RLS From Zappelphilipp (Fidgety Philip) Cartoons Open
Individuals with neuropsychiatric and/or neurodevelopmental conditions often display disruptive behaviours such as hyperkinesia, hypermotor-restlessness, hyper/hypo-arousability and hypermotor events (H-behaviours). This terminology, intro…
View article: 3D detection of the central sleep apnoea syndrome
3D detection of the central sleep apnoea syndrome Open
In polysomnography, an oronasal thermal airflow sensor and respiratory inductance plethysmography (RIP) belts at thorax and abdomen are used to detect central sleep apnoea. These sensors are uncomfortable to wear, can disturb the patient’s…
View article: 0746 REVIEW OF A MULTISENSOR, LOW COST, AND UNOBTRUSIVE APPROACH TO DETECT MOVEMENTS IN SIT AND SLEEP
0746 REVIEW OF A MULTISENSOR, LOW COST, AND UNOBTRUSIVE APPROACH TO DETECT MOVEMENTS IN SIT AND SLEEP Open
Movement measurements in the Suggested Immobilization Test (SIT) and sleep recordings are typically measured by polysomnography (PSG) with electromyography (EMG). We investigated the viability of an alternate home-based recording system, S…