The role of artificial intelligence in electrodiagnostic and neuromuscular medicine: Current state and future directions
The rapid advancements in artificial intelligence (AI), including machine learning (ML), and
deep learning (DL) have ushered in a new era of technological breakthroughs in healthcare …
deep learning (DL) have ushered in a new era of technological breakthroughs in healthcare …
A machine-learning method of predicting vital capacity plateau value for ventilatory pump failure based on data mining
W Chang, X Ji, L Wang, H Liu, Y Zhang, B Chen… - Healthcare, 2021 - mdpi.com
Ventilatory pump failure is a common cause of death for patients with neuromuscular
diseases. The vital capacity plateau value (VCPLAT) is an important indicator to judge the …
diseases. The vital capacity plateau value (VCPLAT) is an important indicator to judge the …
Digital outcome measures in Duchene muscular dystrophy: Lessons learnt from clinical trials
C González Barral, L Servais - Journal of Neuromuscular …, 2024 - journals.sagepub.com
Duchenne muscular dystrophy is a severe neuromuscular disorder characterized by
progressive muscle degeneration resulting from mutations in the dystrophin gene. Digital …
progressive muscle degeneration resulting from mutations in the dystrophin gene. Digital …
Population longitudinal analysis of Gait Profile Score and North Star Ambulatory Assessment in children with Duchenne muscular dystrophy
J Deng, F Liu, Z Feng, Z Liu - CPT: Pharmacometrics & Systems …, 2024 - Wiley Online Library
Duchenne muscular dystrophy (DMD) is a rare X‐linked recessive disorder characterized by
loss‐of‐function mutations in the gene encoding dystrophin. These mutations lead to …
loss‐of‐function mutations in the gene encoding dystrophin. These mutations lead to …
Human Pose Estimation for Clinical Analysis of Gait Pathologies
MM Ali, M Medhat Hassan… - Bioinformatics and Biology …, 2024 - journals.sagepub.com
Gait analysis serves as a critical diagnostic tool for identifying neurologic and
musculoskeletal damage. Traditional manual analysis of motion data, however, is labor …
musculoskeletal damage. Traditional manual analysis of motion data, however, is labor …
Gait Event Detection and Travel Distance Using Waist-Worn Accelerometers across a Range of Speeds: Automated Approach
Estimation of temporospatial clinical features of gait (CFs), such as step count and length,
step duration, step frequency, gait speed, and distance traveled, is an important component …
step duration, step frequency, gait speed, and distance traveled, is an important component …
Automated Detection of Gait Events and Travel Distance Using Waist-worn Accelerometers Across a Typical Range of Walking and Running Speeds
Background: Estimation of temporospatial clinical features of gait (CFs), such as step count
and length, step duration, step frequency, gait speed and distance traveled is an important …
and length, step duration, step frequency, gait speed and distance traveled is an important …