Alexander Horsch

Alexander Horsch
  • Dr. rer. nat. Dr. med. habil.
  • Professor (Full) at UiT The Arctic University of Norway

VirtualStain, High North Population Studies, OrganVision, NanoAI

About

193
Publications
29,800
Reads
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2,675
Citations
Introduction
Main research interests: eHealth, medical image processing, computer-aided diagnosis, and biosensor applications and infrastructures.
Current institution
UiT The Arctic University of Norway
Current position
  • Professor (Full)
Additional affiliations
October 1986 - December 2015
Technical University of Munich
Position
  • Professor of medical informatics

Publications

Publications (193)
Preprint
Full-text available
The field of varying feature space in online learning settings, also known as haphazard inputs, is very prominent nowadays due to its applicability in various fields. However, the current solutions to haphazard inputs are model-dependent and cannot benefit from the existing advanced deep-learning methods, which necessitate inputs of fixed dimension...
Preprint
Full-text available
Accelerometers are frequently used to assess physical activity in large epidemiological studies. They can monitor movement patterns and cycles over several days under free-living conditions and are usually either worn on the wrist or the hip. While wrist-worn accelerometers have been frequently used to additionally assess sleep and time in bed beha...
Article
Full-text available
Untrimmed videos have interrelated events, dependencies, context, overlapping events, object-object interactions, domain specificity, and other semantics that are worth highlighting while describing a video in natural language. Owing to such a vast diversity, a single sentence can only correctly describe a portion of the video. Dense Video Captioni...
Preprint
We study the online learning problem characterized by the varying input feature space of streaming data. Although LSTMs have been employed to effectively capture the temporal nature of streaming data, they cannot handle the dimension-varying streams in an online learning setting. Therefore, we propose a dynamic LSTM-based novel method, called packe...
Presentation
Full-text available
Outer context: The innovation of microscopic and nanoscopic imaging technology has opened several research directions in life science. However, these technologies require larger storage space and challenge automatic analysis. Research question: There is an utmost requirement for storing large-sized images with a smaller storage footprint and corr...
Article
Full-text available
The invention of microscopy- and nanoscopy-based imaging technology opened up different research directions in life science. However, these technologies create the need for larger storage space, which has negative impacts on the environment. This scenario creates the need for storing such images in a memory-efficient way. Compact image representati...
Article
Paradoxical associations have been observed for leisure-time physical activity (LTPA) and occupational physical activity (OPA) and several health-related outcomes. Typically, higher LTPA is associated with health benefits and high OPA with health hazards. Using data from the Tromsø Study (2015-2016), we assessed how questionnaire-based LTPA and OPA...
Article
Full-text available
Structured beams carrying topological defects, namely phase and Stokes singularities, have gained extensive interest in numerous areas of optics. The non-separable spin and orbital angular momentum states of hybridly polarized Stokes singular beams provide additional freedom for manipulating optical fields. However, the characterization of hybridly...
Article
Full-text available
Accelerometers are increasingly used to observe human behavior such as physical activity under free-living conditions. An important prerequisite to obtain reliable results is the correct calibration of the sensors. However, accurate calibration is often neglected, leading to potentially biased results. Here, we demonstrate and quantify the effect o...
Book
Full-text available
Universities are facing many challenges as they are expected to prepare their students in the best possible way to contribute to sustainable societal- and industrial development. Students will become researchers, innovators, entrepreneurs, and role models, and should be able to contribute in the transition to a greener and smarter future. The task...
Article
Full-text available
Non-linear regression modeling is common in epidemiology for prediction purposes or estimating relationships between predictor and response variables. Restricted cubic spline (RCS) regression is one such method, for example, highly relevant to Cox proportional hazard regression model analysis. RCS regression uses third-order polynomials joined at k...
Chapter
The proliferation of high-content microscopes (\(\sim \)32 GB for a single image) and the increasing amount of image data generated daily have created a pressing need for compact storage solutions. Not only is the storage of such massive image data cumbersome, but it also requires a significant amount of storage and data bandwidth for transmission....
Preprint
Full-text available
Non-linear regression modeling is common in many fields for prediction purposes or estimating relationships between predictor and response variables. For example, restricted cubic spline regression can model non-linear relationships as third-order polynomials joined at knot points. The standard approach is to place knots by a regular sequence of qu...
Preprint
Full-text available
Structured beams carrying topological defects, namely phase and Stokes singularities, have gained extensive interest in numerous areas of optics. The non-separable spin and orbital angular momentum states of hybridly polarized Stokes singular beams provide additional freedom for manipulating optical fields. However, the characterization of hybridly...
Article
Full-text available
Data from consumer-based devices for collecting personal health-related data could be useful in diagnostics and treatment. This requires a flexible and scalable software and system architecture to handle the data. This study examines the existing mSpider platform, addresses shortcomings in security and development, and suggests a full risk analysis...
Chapter
Artificial networks of neurons and algorithms mimic human neural systems intertwined and stacked. Most can’t comprehend a human mind, yet they work flawlessly until they don’t. With millions of billions of parameter optimizations in hundreds of layers over a short time, the question is not ‘if’ something will go wrong, but ‘when’.
Chapter
When it comes to interpretability, ML models, particularly DL models, are frequently regarded as a black box due to their complexity and lack of transparency in approach. It is fairly simple to train a network to be specific. A DL model learns to classify an object, recognize text, or generate digital images. It efficiently encapsulates feature lea...
Chapter
Artificial Intelligence (AI) and modern computing captivate a large and growing number of people. It’s fascinating to see how they progressed from a mere impression of mimicking human-like behavior to surpassing human-level performance that fits in one’s pocket.
Chapter
Previous chapters have discussed the learning, performance and explainability of NNs based on crisp inputs, weights, parameters, training samples and other information pieces. It was demonstrated how a deep network propagates information into its layers.
Chapter
The chapter commences with a prevalent phrase in the modern era “AI will take over the world!” (Crawford and Calo 2016). There are two major interpretations of the phrase. The first is to acknowledge AI as a developing technology with the ability to cater to larger organizations, global automation, and streamline inefficient procedures. The other i...
Chapter
Streaming classification methods assume the number of input features is fixed and always received. But in many real-world scenarios, some features are reliable while others are unreliable or inconsistent. We propose a novel online deep learning-based model called Auxiliary Network (Aux-Net), which is scalable and agile and can handle any number of...
Preprint
Full-text available
Non-linear regression modeling is common in many fields for prediction purposes or estimating relationships between predictor and response variables. For example, restricted cubic spline regression can model non-linear relationships as third-order polynomials joined at knot points. The standard approach is to place knots by a regular sequence of qu...
Preprint
Full-text available
Non-linear regression modeling is common in many fields for prediction purposes or estimating relationships between predictor and response variables. For example, restricted cubic spline regression can model non-linear relationships as third-order polynomials joined at knot points. The standard approach is to place knots by a regular sequence of qu...
Article
Full-text available
Background Serious public-health concerns such as overweight and obesity are in many cases caused by excess intake of food combined with decreases in physical activity. Smart scales with wireless data transfer can, together with smart watches and trackers, observe changes in the population’s health. They can present us with a picture of our metabol...
Preprint
Full-text available
Image retrieval has garnered growing interest in recent times. The current approaches are either supervised or self-supervised. These methods do not exploit the benefits of hybrid learning using both supervision and self-supervision. We present a novel Master Assistant Buddy Network (MABNet) for image retrieval which incorporates both learning mech...
Preprint
Fluorescence microscopy is a quintessential tool for observing cells and understanding the underlying mechanisms of life-sustaining processes of all living organisms. The problem of extracting 3D shape of mitochondria from fluorescence microscopy images remains unsolved due to the complex and varied shapes expressed by mitochondria and the poor res...
Preprint
Full-text available
Background: Smart scales with wireless data transfer have existed for more than a decade. These smart body composition scales can, together with smart watches and trackers, observe changes in the population's health. Combining body composition data with physical activity measurements from devices such as smart watches could contribute to building a...
Article
Full-text available
Mitochondria play a crucial role in cellular metabolism. This paper presents a novel method to visualize mitochondria in living cells without the use of fluorescent markers. We propose a physics-guided deep learning approach for obtaining virtually labeled micrographs of mitochondria from bright-field images. We integrate a microscope’s point sprea...
Article
Full-text available
Epidemiological literature on the relationship between physical activity and chronic pain is scarce and inconsistent. Hence, our aim was to assess the relationship applying comprehensive methodology, including self-reported and accelerometer measures of physical activity and different severity levels of chronic pain. We used data from the Tromsø St...
Article
Full-text available
Background The Saltin-Grimby Physical Activity Level Scale (SGPALS) is commonly used to measure physical activity (PA) in population studies, but its validity in adolescents is unknown. This study aimed to assess the criterion validity of the SGPALS against accelerometry in a large sample of adolescents. A secondary aim was to examine the validity...
Conference Paper
Full-text available
The increased development and use of ubiquitous digital services reinforce the trend where health-related data is generated everywhere. Data usage in different areas introduces different terms for the same or similar concepts. This adds to the confusion of what these terms represent. We aim to provide an overview of concepts and terms used in conne...
Conference Paper
Full-text available
We commonly adjust for confounding factors in analytical observational epidemiology to reduce biases that distort the results. Stratification and matching are standard methods for reducing confounder bias. Coarsened exact matching (CEM) is a recent method using stratification to coarsen variables into categorical variables to enable exact matching...
Preprint
Full-text available
The use of accelerometers has become an established method in population research. Accelerometers are small body-worn sensors that can monitor movement patterns and cycles over several days under free-living conditions. A key requirement for any accelerometer-based analysis is the reliable discrimination of sleep and wake episodes. However, many st...
Article
Full-text available
This study describes a method for extracting the stride parameter ground contact time (GCT) from inertial sensor signals in sprinting. Five elite athletes were equipped with inertial measurement units (IMU) on their ankles and performed 34 maximum 50 and 100-m sprints. The GCT of each step was estimated based on features of the recorded IMU signals...
Article
Full-text available
We often locate ourselves in a trade-off situation between what is predicted and understanding why the predictive modeling made such a prediction. This high-risk medical segmentation task is no different where we try to interpret how well has the model learned from the image features irrespective of its accuracy. We propose image-specific fine-tuni...
Article
Full-text available
To date, non-wear detection algorithms commonly employ a 30, 60, or even 90 mins interval or window in which acceleration values need to be below a threshold value. A major drawback of such intervals is that they need to be long enough to prevent false positives (type I errors), while short enough to prevent false negatives (type II errors), which...
Chapter
Full-text available
Examining specific sub-cellular structures while minimizing cell perturbation is important in the life sciences. Fluorescence labeling and imaging is widely used for introducing specificity despite its perturbative and photo-toxic nature. With the advancement of deep learning, digital staining routines for label-free analysis have emerged as a repl...
Article
Background The relationship between habitual physical activity (PA) and experimental pain tolerance has been investigated in small samples of young, healthy and/or single‐sex volunteers. We used a large, population‐based sample to assess this relationship in men and women with and without chronic pain. Methods We used data from the sixth and seven...
Article
Full-text available
Objectives: Physical activity may be important in deterring the obesity epidemic. This study aimed to determine whether objectively measured physical activity in first year of upper secondary high school predicted changes in body composition over 2 years of follow-up in a cohort of Norwegian adolescents (n=431). Design: A longitudinal study of a...
Article
Full-text available
Background: Previous studies show large variations in physical activity (PA) levels among adolescents. However, the number of studies is limited and even fewer studies have assessed PA in adolescents by accelerometer devices. This study aimed to describe accelerometer-measured PA levels in adolescents in a population-based cohort in Northern Norwa...
Preprint
Full-text available
Current non-wear detection algorithms frequently employ a 30- to 90-minute interval in which recorded acceleration needs to be below a threshold value. Such intervals need to be long enough to prevent false positives (type I errors), while short enough to prevent false negatives (type II errors), limiting their ability to achieve a high F1 score. I...
Article
Full-text available
Accurate detection of accelerometer non-wear time is crucial for calculating physical activity summary statistics. In this study, we evaluated three epoch-based non-wear algorithms (Hecht, Troiano, and Choi) and one raw-based algorithm (Hees). In addition, we performed a sensitivity analysis to provide insight into the relationship between the algo...
Article
Full-text available
Objectives We compared the ability of physical activity and sitting time questionnaires (PAQ) for ranking individuals versus continuous volume calculations (physical activity level (PAL), metabolic equivalents of task (MET), sitting hours) against accelerometry measured physical activity as our criterion. Methods Participants in a cohort from the...
Article
Full-text available
Introduction Surveillance of physical activity at the population level increases the knowledge on levels and trends of physical activity, which may support public health initiatives to promote physical activity. Physical activity assessed by accelerometry is challenged by varying data processing procedures, which influences the outcome. We aimed to...
Article
Full-text available
Background: Accelerometers, often in conjunction with heart rate sensors, are extensively used to track physical activity (PA) in research. Research-grade instruments are often expensive and have limited battery capacity, limited storage, and high participant burden. Consumer-based activity trackers are equipped with similar technology and designed...
Preprint
Full-text available
Background: Previous studies show large variations in physical activity (PA) levels among adolescents. However, the number of studies is limited and even fewer studies have assessed PA in adolescents by accelerometer devices. This study aimed to describe accelerometer-measured PA levels in adolescents in a population-based cohort in Northern Norway...
Article
Full-text available
Effects of low serum 25OHD on age-related changes in muscle mass and function remain unclear. Our aims were to explore associations of baseline 25OHD levels with prevalent and incident sarcopenia and changes in muscle parameters, and to examine the role of parathyroid hormone (PTH) therein. Cross-sectional (n = 975) and prospective analyses (n = 70...
Article
Full-text available
Background: Previous research shows that physical activity has a protective effect on mental distress in adults, but the relationship is less researched and seems more ambiguous for adolescents. Studies in this field have typically been cross-sectional by design and based on self-reported physical activity measures, which are known to be vulnerabl...
Preprint
Background: Accelerometers, often in conjunction with heart rate sensors, are extensively used to track physical activity (PA) in research. Research-grade instruments are often expensive and have limited battery capacity, limited storage, and high participant burden. Consumer-based activity trackers are equipped with similar technology and designed...
Preprint
BACKGROUND Accelerometers and combined sensing are extensively used to track physical activity (PA). Research grade instruments are often expensive, have limited battery capacity, limited storage, and high participant burden. Consumer-based activity trackers are equipped with similar technology and are designed for long-time wearing, and can theref...
Article
Full-text available
Accelerometers objectively monitor physical activity, and ongoing research suggests they can also detect patterns of body movement. However, different types of signal (uniaxial, captured by older studies, vs. the newer triaxial) and or/device (validated Actigraph used by older studies, vs. others) may lead to incomparability of results from differe...
Article
Full-text available
Objective: To examine the association between grip strength and history of falls among older individuals, and to assess the possible mediating effect of balance problems on this relationship.Method:Data originate from KORA (Cooperative Health Research in the Region of Augsburg)-Age Study of 808 individuals (65 years and above). Follow-up assessment...
Article
Significant efforts have been devoted to choosing the best configuration of a computing system to run an application energy efficiently. However, available tuning approaches mainly focus on homogeneous systems and are inextensible for heterogeneous systems which include several components (e.g., CPUs, GPUs) with different architectures. This study...
Article
Full-text available
Background: Falls are common among elderly people, and the risk increase with age. Falls are associated with both health and social consequences for the patient, and major societal costs. Identification of risk factors should be investigated to prevent falls. Previous studies have shown anemia to be associated with increased risk of falling, but t...
Article
Full-text available
Background Widespread access to the Internet and an increasing number of Internet users offers the opportunity of using Web-based recalls to collect detailed physical activity data in epidemiologic studies. Objective The aim of this investigation was to evaluate the validity and reliability of a computer-based 24-hour physical activity recall (cpa...
Poster
Full-text available
Background and Aims: During infections, many people with diabetes experiences high blood glucose (BG) levels. We propose to utilize patient-gathered information and develop an Electronic Disease Surveillance Monitoring Network, which can possibly detect infectious disease outbreaks during incubation period. The system incorporates data gathered fro...
Article
Full-text available
Background Reduced muscular strength in the old age is strongly related to activity impairment and mortality. However, studies evaluating the gender-specific association between muscularity and mortality among older adults are lacking. Thus, the objective of the present study was to examine gender differences in the association between muscular str...
Article
Full-text available
Objectives: Raw accelerometry is increasingly being used in physical activity research, but diversity in sensor design, attachment and signal processing challenges the comparability of research results. Therefore, efforts are needed to harmonize the methodology. In this article we reflect on how increased methodological harmonization may be achiev...
Article
Full-text available
Skin cancer is one of the most frequently en-countered types of cancer in the Western world. According to the Skin Cancer Foundation Statistics, one in every five Americans develops skin cancer during his/her lifetime. Today, the incurability of advanced cutaneous melanoma raises the importance of its early detection. Since the differentiation of e...
Article
Full-text available
In this epidemiological study we described the characteristics of spatio-temporal gait parameters among a representative, population-based sample of 890 community-dwelling people aged 65 to 90 years. In addition, we investigated the associations between certain gait parameters and a history of falls in study participants. In descriptive analyses sp...
Article
Full-text available
Introduction Accelerometry is an important method for extending our knowledge about intensity, duration, frequency and patterns of physical activity needed to promote health. This study has used accelerometry to detect associations between intensity levels and related activity patterns with multimorbidity and disability. Moreover, the proportion of...
Article
Objectives: The aim of this paper is to discuss how recent developments in the field of big data may potentially impact the future use of wearable sensor systems in healthcare. Methods: The article draws on the scientific literature to support the opinions presented by the IMIA Wearable Sensors in Healthcare Working Group. Results: The followi...
Article
Full-text available
Falls and fractures are among the principal causes of disability, and mortality of older people. Therefore, identifying treatable risk factors for falls in this population is very important.Here we evaluate the association between anemia and falls in community-dwelling people aged 65 years and older. In 2009 967 community-dwelling people aged 65 ye...
Article
Full-text available
Elderly people obtain significant health benefits from physical activity (PA), but the role of activity patterns has scarcely been researched. The present study aims to describe the patterns of PA among different intensities of activity in elderly people. We assess how patterns differ between more and less active groups ('rare', 'average', and 'fre...
Article
Background: Chronic obstructive pulmonary disease (COPD) is a progressive disease affecting the airways, which constitutes a major cause of chronic morbidity and a significant economic and social burden throughout the world. Despite the fact that in COPD patients exacerbations are common acute events causing significant and often fatal worsening o...
Article
Full-text available
Patient diaries as apps on mobile phones are becoming increasingly common, and can be a good support tool for patients who need to organize information relevant for their disease. Self-management is important to achieving diabetes treatment goals and can be a tool for lifestyle changes for patients with Type 2 diabetes. The autoimmune disease Type...
Article
Full-text available
Periodic limb movements are short movements of the legs that can lead to low sleep quality in the general population. Currently, the gold standard to measure periodic limb movements for diagnostic purposes is polysomnography. This is an expensive technique that requires specially fitted laboratories and specialized personnel. In this paper we explo...
Article
13 volunteers walked on a treadmill at 6 different speeds while wearing different accelerometers on different body positions, a spirometry unit and heart rate devices. The goal of this experiment was to find which position on a person's body and which of the sensors is best to measure physical activity (PA) in people by means of an accelerometer.
Article
We measured lower limb activity by means two, above each ankle vertically aligned GT3X+ accelerometers in 4 healthy adults during a single night. Triaxial raw data vector magnitude units (VMU) were recorded at 100 Hz, in order to compare two different modes of operation (i.e. low power mode (LPM)on vs. off).
Article
Due to the large variety of methods for collecting and analyzing accelerometer data to assess physical activity, it is difficult to compare results from different studies. Therefore, this work aims to provide recommendations for the collection and processing of such data in older people, focusing on the assessment of wearing time and intensity leve...
Article
Full-text available
Using wireless body sensor network system (WBSN) based on information and communication technologies (ICTs) to monitor the health status of the elderly gradually becomes popular in the scope of telemedicine. eHealth services based on such technologies can offer healthcare to elderly and chronically ill in and outside their homes, enabling an indepe...
Data
Activity diary for seven days. In the head, ID, anthropometric information, participant’s handedness and hand side of wearing the monitor is documented. For recording the course of day a detailed schema is provided for each day covering from the morning on corner stones of the day. Further, options are provided for time and reason of removing monit...
Data
Graphical illustration of wear time according to diary and NHANES algorithm (left) and time of PA spend in each of the four intensity levels (right) demonstrated in four samples. Left: Graphical illustration of the wear time according to the NHANES algorithm [33] and diary information as a function of time of the day and number of recorded day 1 to...
Data
Result letter for participants. The result letter is thanking the adolescent for participating in the study and is introducing the different levels of physical activity in a common sense. Two diagrams provide the relative time the adolescent has spent in the different levels of activity separately for weekdays and for the weekend. The 60 minutes of...
Article
Full-text available
Surveillance of physical activity (PA) is increasingly based on accelerometry. However, data management guidelines are lacking. We propose an approach for combining accelerometry and diary based PA information for assessment of PA in adolescents and provide an example of this approach using data from German adolescents. The 15-year-old participants...
Article
Full-text available
Introduction: Human body acceleration is often used as an indicator of daily physical activity in epidemiological research. Raw acceleration signals contain three basic components: movement, gravity, and noise. Separation of these becomes increasingly difficult during rotational movements. We aimed to evaluate five different methods (metrics) of p...
Data
Additional information on signal processing and replication of robot findings with simulated data. (DOC)
Article
Full-text available
Over the last two decades, the number of studies on electronic symptom reporting has increased greatly. However, the field is very heterogeneous: the choices of patient groups, health service innovations, and research targets seem to involve a broad range of foci. To move the field forward, it is necessary to build on work that has been done and di...
Article
Full-text available
We conducted in two parts a systematic review of randomized controlled trials (RCTs) on electronic symptom reporting between patients and providers to improve health care service quality. Part 1 reviewed the typology of patient groups, health service innovations, and research targets. Four innovation categories were identified: consultation support...
Article
Background: Accelerometry is increasingly used to assess physical activity (PA) in patients with chronic obstructive pulmonary disease (COPD). It is not known how the relationship of PA to clinical results depends on the position of the PA sensor. Methods: We assessed the effect of monitor position by measuring lower extremity (ankle), upper ext...
Article
Physical Activity (PA) plays an important role in the health and quality of life of cystic fibrosis (CF) patients, but little is known about their PA in daily living. With the use of accelerometers it is now possible to monitor activity profiles in detail. The goals of this study are to assess feasibility and acceptance of a longer-term use of acce...
Article
Full-text available
A temporal scale-space is a vector space spanned by time and a scale parameter, and by constructing the scale-space correctly a causal structure can be imposed on the scale-space. This enables early warning of significant changes in sensor data at an early time, and on any scale. We describe a feasibility study on how to use these ideas for live su...
Conference Paper
Full-text available
INTRODUCTION: Insufficient treatment of Type 1 Diabetes Mellitus (T1DM) can cause unpleasant and dangerous short-term complications, and disabling long-term complications. Children and adolescents are often associated with poor blood glucose regulation and poor treatment adherence. Motivating this group into achieving better illness knowledge, self...
Article
Full-text available
The objective of the KORA-Age research consortium is to assess the determinants and consequences of multimorbidity in the elderly and to look into reasons for successful aging in the general public. In the KORA-Age cohort study 9,197 persons were included who where born in the year 1943 or before and participants of previous KORA cohort studies con...

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