Results 101 to 110 of about 140,946 (282)
Deep Underground Science and Engineering, EarlyView.How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi +4 more
wiley +1 more source
ESC Heart Failure, Volume 12, Issue 2, Page 980-997, April 2025.Abstract Heart failure (HF) creates a considerable clinical, humanistic and economic burden on patients and caregivers as well as on healthcare systems. To attenuate the significant burden of HF, there is a need for enhanced management of patients with HF.
Javed Butler +8 more
wiley +1 more source
Internet of things based multi-sensor patient fall detection system
Healthcare Technology Letters, 2019 Accidental falls of patients cannot be completely prevented. However, timely fall detection can help prevent further complications such as blood loss and unconsciousness.
Sarah Khan +5 more
doaj +1 more source
Epilepsia, EarlyView.Abstract Objective This study aimed to evaluate the real‐world performance of a wrist‐worn seizure detection device for timely clinical interventions within an epilepsy monitoring unit (EMU). Methods We conducted a prospective observational study involving patients admitted to the EMU at a tertiary care center.
Amirhossein Jahani +9 more
wiley +1 more source
Joint angle measurement of manipulator and error compensation based on an IMU sensor
The Journal of Engineering, 2019 To detect the joint angle of the manipulator accurately, a measuring method based on an IMU sensor is proposed. The sensor's attitude angles and corresponding rotation matrix are obtained according to the data of three-axis gyroscope and three-axis ...
Tianlin Zhang +4 more
doaj +1 more source
Epilepsia, EarlyView.Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron +7 more
wiley +1 more source
Fluidic accelerometer, phase 1 Final report [PDF]
Fluidic accelerometers - specifications and test ...
Evans, J.
core +1 more source
Detection of focal impaired awareness seizures using a biometric shirt
Epilepsia Open, EarlyView.Abstract Objective In recent years, seizure detection using wearable technology has gained significant attention in research. Most studies, however, have focused on detecting generalized or focal to bilateral tonic–clonic seizures. This study evaluates the feasibility of using a biometric shirt to detect focal impaired awareness seizures (FIAS) by ...
Jérôme St‐Jean +6 more
wiley +1 more source
Personal HealthCare of Things: A novel paradigm and futuristic approach
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract This study provides an investigative approach and offers a complete review of research on Internet of Medical Things (IoMT), describing the progress in general and highlighting the research issues, trends, and future aspects of IoMT. Exploring a research strategy for IoMT systems is vital as the need for IoT in healthcare grows. By aggregating
Surbhi Gupta +5 more
wiley +1 more source
A multi‐feature method for real‐time seizure detection in pediatric intensive care unit
Epilepsia Open, EarlyView.Abstract Purpose Continuous electroencephalogram (cEEG) monitoring is an important technique used in detecting electroclinical seizures in the pediatric intensive care unit (PICU). This study developed an artificial intelligence method for the real‐time automatic detection of seizures in the PICU.
Tian Sang +10 more
wiley +1 more source