Machine learning applications in sarcopenia detection and management: A comprehensive survey

D Turimov Mustapoevich, W Kim - Healthcare, 2023 - mdpi.com
This extensive review examines sarcopenia, a condition characterized by a loss of muscle
mass, stamina, and physical performance, with a particular emphasis on its detection and …

Chartdetective: Easy and accurate interactive data extraction from complex vector charts

D Masson, S Malacria, D Vogel, E Lank… - Proceedings of the 2023 …, 2023 - dl.acm.org
Extracting underlying data from rasterized charts is tedious and inaccurate; values might be
partially occluded or hard to distinguish, and the quality of the image limits the precision of …

Modeling multiple sclerosis using mobile and wearable sensor data

S Gashi, P Oldrati, M Moebus, M Hilty, L Barrios… - npj Digital …, 2024 - nature.com
Multiple sclerosis (MS) is a neurological disease of the central nervous system that is the
leading cause of non-traumatic disability in young adults. Clinical laboratory tests and …

Smartphone-based tap** frequency as a surrogate for perceived fatigue: an in-the-wild feasibility study in multiple sclerosis patients

L Barrios, P Oldrati, M Hilty, D Lindlbauer… - Proceedings of the …, 2021 - dl.acm.org
Fatigue is a common symptom in various diseases, including multiple sclerosis (MS). The
current standard method to assess fatigue is through questionnaires, which has several …

Single-tap Latency Reduction with Single-or Double-tap Prediction

N Nishida, K Ikematsu, J Sato, S Yamanaka… - Proceedings of the …, 2023 - dl.acm.org
Touch surfaces are widely utilized for smartphones, tablet PCs, and laptops (touchpad), and
single and double taps are the most basic and common operations on them. The detection …

Cognitive fatigability assessment test (cFAST): Development of a new instrument to assess cognitive fatigability and pilot study on its association to perceived fatigue …

L Barrios, R Amon, P Oldrati, M Hilty, C Holz… - Digital …, 2022 - journals.sagepub.com
Background Fatigue is a common symptom of many diseases, including multiple sclerosis. It
manifests as a cognitive or physical condition. Fatigue is poorly understood, and effective …

Sarcopenia diagnosis using skeleton-based gait sequence and foot-pressure image datasets

MT Naseem, NH Kim, H Seo, JM Lee… - Frontiers in Public …, 2024 - frontiersin.org
Introduction Sarcopenia is a common age-related disease, defined as a decrease in muscle
strength and function owing to reduced skeletal muscle. One way to diagnose sarcopenia is …

Meaningful digital biomarkers derived from wearable sensors to predict daily fatigue in multiple sclerosis patients and healthy controls

M Moebus, S Gashi, M Hilty, P Oldrati, C Holz - Iscience, 2024 - cell.com
Fatigue is the most common symptom among multiple sclerosis (MS) patients and severely
affects the quality of life. We investigate how perceived fatigue can be predicted using …

[HTML][HTML] Chemotherapy-induced peripheral neuropathy detection via a smartphone app: cross-sectional pilot study

CS Chen, J Kim, N Garg, H Guntupalli… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background Severe chemotherapy-induced peripheral neuropathy (CIPN) can cause long-
term dysfunction of the hands and feet, interfere with activities of daily living, and diminish …

Role of Smartphone Applications in the Assessment and Management of Fatigue in Patients with Multiple Sclerosis: A Sco** Review

A Antonioni, A Baroni, G Milani, I Cordioli, S Straudi - Sclerosis, 2024 - mdpi.com
Fatigue is a common symptom in Multiple Sclerosis (MS), and its assessment depends
entirely on patient reports. Importantly, managing MS symptoms is increasingly supported by …