- Context-Aware Activity Recognition Systems
- Technology Use by Older Adults
- Mobile Health and mHealth Applications
- Physical Activity and Health
- Balance, Gait, and Falls Prevention
- Neurological disorders and treatments
- Sleep and related disorders
- Non-Invasive Vital Sign Monitoring
- Dementia and Cognitive Impairment Research
- Robotic Mechanisms and Dynamics
- Advanced Measurement and Metrology Techniques
- Time Series Analysis and Forecasting
- Optical measurement and interference techniques
- Health, Environment, Cognitive Aging
- EEG and Brain-Computer Interfaces
- Parkinson's Disease Mechanisms and Treatments
- Frailty in Older Adults
- Autism Spectrum Disorder Research
- Health disparities and outcomes
- Musculoskeletal pain and rehabilitation
- Pain Management and Placebo Effect
- Virtual Reality Applications and Impacts
- Neurobiology of Language and Bilingualism
- Machine Learning in Healthcare
- Neural Networks and Applications
University of Bern
2016-2024
Palo Alto University
2024
Stanford University
2024
University Hospital of Bern
2016-2019
Universidad de Alcalá
2019
Medical University of Vienna
2019
Parkinson's disease (PD) is characterized by a highly individual disease-profile as well fluctuating symptoms. Consequently, 24-h home monitoring in real-world environment would be an ideal solution for precise symptom diagnostics. In recent years, small lightweight sensors which have assisted objective, reliable analysis of motor symptoms attracted lot attention. While technical advances are important, patient acceptance such new systems just crucial to increase long-term adherence. So far,...
Introduction: Population aging is increasing the needs and costs of healthcare. Both frailty chronic diseases affecting older people reduce their ability to live independently. However, most prefer age in own homes. New development in-home monitoring can play a role staying independent, active, healthy for people. This 12-month observational study aimed evaluate new system among home-dwelling adults (OA), family caregivers (FC), nurses support home care. Methods: The evaluated this...
Background Population aging is posing multiple social and economic challenges to society. One such challenge the burden related increased health care expenditure caused by early institutionalizations. The use of modern pervasive computing technology makes it possible continuously monitor status community-dwelling older adults at home. Early detection issues through these technologies may allow for reduced treatment costs initiation targeted preventive measures leading better outcomes. Sleep...
ABSTRACT Personalized, smartphone-based coaching improves physical activity but relies on static, human-crafted messages. We introduce My Heart Counts (MHC)-Coach, a large language model fine-tuned the Transtheoretical Model of Change. MHC-Coach generates messages tailored to an individual’s psychology (their “stage change”), providing personalized support foster long-term behavior change. To evaluate MHC-Coach’s efficacy, 632 participants compared human-expert and text-based interventions...
Background: Aphasia is the loss or impairment of language functions and affects everyday social life. The disorder leads to inability understand be understood in both written verbal communication linguistic modalities auditory comprehension, expression, reading, writing. Due heterogeneity impairment, therapy must adapted individually dynamically patient needs. An important factor for successful aphasia dose intensity therapy. Tablet computer–based apps are a promising treatment method that...
There is currently a need for engaging, user-friendly and repeatable tasks assessment of cognitive motor function in aging neurodegenerative diseases. This study evaluated the feasibility maze-like Numberlink puzzle game assessing differences game-based measures cognition due to age Fifty-five participants, including young (18 – 31 years, n=18), older (64 79 n=14) oldest adults (86 98 n=14), patients with Parkinson's (59 76 n=4) Huntington's disease (35 66 n=5) played different difficulty...
Background: Home monitoring sensor systems are increasingly used to monitor seniors in their apartments for detection of emergency situations. The aim this study was deliver a proof-of-concept the use multimodal with pervasive computing technology clinically relevant health problems over longer time periods. Methods: Data were collected longitudinal home Switzerland (StrongAge Cohort Study) cohort 24 old and oldest-old, community-dwelling adults period 1 2 years. Physical activity apartment,...
Abstract In older adults, physical activity is crucial for healthy aging and associated with numerous health indicators outcomes. Regular assessments of can help detect early health-related changes manage targeted interventions. The quantification activity, however, difficult as commonly used self-reported measures are biased rather unprecise point in time measurements. Modern alternatives based on wearable technologies which accurate but suffer from usability compliance issues. this study,...
Using connected sensing devices to remotely monitor health is a promising way help transition healthcare from rather reactive more precision medicine oriented proactive approach, which could be particularly relevant in the face of rapid population ageing and challenges it poses systems. Sensor derived digital measures health, such as biomarkers or clinical outcome assessments, may used status risk adverse events like falls. Current research around has largely focused on exploring use few...
The results of telemedicine intervention studies in patients with heart failure (HF) to reduce rehospitalization rate and mortality by early detection HF decompensation are encouraging. However, the benefits lower than expected. A possible reason for this could be fact that vital signs, including blood pressure, rate, rhythm, weight changes, may not ideal indicators stages but more sensitive acute events triggered ischemic episodes or rhythm disturbances. Preliminary indicate a potential...
Isometric strength measures and timed up go (TUG) tests are both recognized as valuable tools for fall prediction in older adults. However, results from direct comparison of these two lacking. We aimed to assess the potential isometric different modalities TUG test detect individuals at risk falling.This is a prospective cohort study including 24 community-dwelling adults (≥65 years, 19 females, 88±7 years). Participants performed three variations (standard, counting holding full cup)...
Visual search declines with aging, dementia, and brain injury is linked to limitations in everyday activities. Recent studies suggest that visual can be improved practice using computerized tasks puzzle video games. For practical use, it important ability assessed practiced a controlled adaptive way. However, commercial games make hard control task difficulty, there are little means collect performance data.The aim of this study was develop initially validate the match (SMT) combines an...
Electronic Health Record (EHR) data can be a key resource for decision-making support in clinical practice the "big data" era. The complete database from early 2012 to late 2015 involving hospital admissions Inselspital Bern, largest Swiss University Hospital, was used this study, over 100,000 admissions. Age, sex, and initial laboratory test results were features/variables of interest each admission, outcome being inpatient mortality. Computational decision systems utilized calculation risk...
Modern sensor technology is increasingly used in older adults to not only provide additional safety but also monitor health status, often by means of derived digital measures or biomarkers. Social isolation a known risk factor for late-life depression, and potential component social-isolation the lack home visits. Therefore, visits may serve as measure social depression. Late-life depression common mental emotional disorder growing population adults. The disorder, if untreated, can...
Neurology is focused on a model where patients receive their care through repeated visits to clinics and doctor’s offices. Diagnostic tests often require expensive specialized equipment that are only available in clinics. However, this current has significant drawbacks. First, diagnostic tests, such as daytime EEG sleep studies, occur under artificial conditions the clinic, which may mask or wrongly emphasize clinically important features. Second, early detection high-quality management of...
Human-robot collaboration (HRC) has become an emerging field, where the use of a robotic agent been shifted from supportive machine to decision-making collaborator. A variety factors can influence effectiveness processes during HRC, including system-related (e.g., robot capability) and human-related individual knowledgeability) factors. As contextual significantly impact human-robot process in collaborative contexts, present study adopts Lego-like EEG headset collect examine human brain...
Gait analysis is an important part of assessments for a variety health conditions, specifically neurodegenerative diseases. Currently, most methods gait assessment are based on manual scoring certain tasks or restrictive technologies. We present unobtrusive sensor system light detection and ranging technology use in home-like environments. In our evaluation, we compared six different parameters, recordings from 25 people performing eight walks each, resulting 200 unique measurements. the...
Passive infrared motion sensors are commonly used in telemonitoring applications to monitor older community-dwelling adults at risk. One possible use case is quantification of in-home physical activity, a key factor and potential digital biomarker for healthy independent aging. A major disadvantage passive their lack performance comparability activity quantification. In this work, we calibrate with simultaneously acquired data from wearable accelerometers the find suitable correlation...
In recent years, consumer-grade sensors that measure health relevant physiological signals have become widely available and are increasingly used by consumers researchers alike. While this allows for multiple novel, potentially highly beneficial, large-scale monitoring applications, quality of these data streams is oftentimes suboptimal. This makes alignment different high-frequency from multiple, non-connected sensors, a difficult task. work we describe noise-robust framework to align share...
Digital sensing devices have become an increasingly important component of modern biomedical research, as they help provide objective insights into individuals' everyday behavior in terms changes motor and nonmotor symptoms. However, there are significant barriers to the adoption sensor-enhanced solutions both technical expertise associated costs. The currently available neither allow easy integration custom nor offer a practicable methodology cases limited resources. This has particularly...
The ageing of the Swiss population is increasing healthcare needs and costs. Both frailty chronic diseases affecting older people reduce their ability to live independently. However, vast majority want continue living at home, while having a quality life receiving best services. In this context, new connected technologies can be relevant solution facilitate home care people. article, we present issues related these and, more particularly, what extent they could contribute benefit for...
For patients suffering from neurodegenerative disorders, the behavior and activities of daily living are an indicator a change in health status, home-monitoring over prolonged period time by unobtrusive sensors is promising technology to foster independent maintain quality life. The aim this pilot case study was development multi-sensor system apartment unobtrusively monitor at home during day night. developed based on using basic technologies gold-standard medical devices measuring...
Summary Little is known about the correlation between subjective perception and objective measures of sleep quality in particular oldest‐old. The aim this study was to perform longitudinal home monitoring age group, correlate results with self‐reported quality. This a prospective sleep‐monitoring 12 oldest‐old persons (age 83–100 years, mean 93 10 females) without serious disorders over 1 month using contactless piezoelectric bed sensor (EMFIT QS). Participants provided daily information...
<sec> <title>BACKGROUND</title> The results of telemedicine intervention studies in patients with heart failure (HF) to reduce rehospitalization rate and mortality by early detection HF decompensation are encouraging. However, the benefits lower than expected. A possible reason for this could be fact that vital signs, including blood pressure, rate, rhythm, weight changes, may not ideal indicators stages but more sensitive acute events triggered ischemic episodes or rhythm disturbances....