Results 51 to 60 of about 248,920 (220)
Amark: Automated Marking and Processing Techniques for Ambulatory ECG Data [PDF]
arXiv, 2020 We describe techniques and specifications of MATLAB software to process ambulatory electrocardiogram (ECG) data. Through template-based beat identification and simple pattern recognition models on the intervals between regular heart beats, we filter noisy sections of waveform and ectopic beats. Our end-to-end process can be used towards analysis of ECG
arxiv
Study of duration and efficacy of chloroprocaine for spinal anesthesia in infraumbilical surgeries
Asian Journal of Medical Sciences, 2021 Background: Spinal anesthesia is a reliable and safe technique for infraumbilical surgeries. Nevertheless, some of its characteristics may limit its use for day care surgery.
Nazima Memon +2 more
doaj +1 more source
Decoding Visual Responses based on Deep Neural Networks with Ear-EEG Signals [PDF]
arXiv, 2020 Recently, practical brain-computer interface is actively carried out, especially, in an ambulatory environment. However, the electroencephalography signals are distorted by movement artifacts and electromyography signals in ambulatory condition, which make hard to recognize human intention.
arxiv
Frontiers in Psychiatry, 2021 Background: Major depressive disorders are strongly correlated with alterations in sleep pattern and architecture, including changes in the Rapid Eye Movement (REM) phase.
Daniel Harlev +3 more
doaj +1 more source
Ambulatory total hip arthroplasty: Causes for failure to launch and associated risk factors
Bone & Joint Open, 2022 AimsThe volume of ambulatory total hip arthroplasty (THA) procedures is increasing due to the emphasis on value-based care. The purpose of the study is to identify the causes for failed same-day discharge (SDD) and perioperative factors leading to failed
Samuel Rodriguez +5 more
doaj +1 more source
ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting [PDF]
arXiv, 2022 Stress detection and classification from wearable sensor data is an emerging area of research with significant implications for individuals' physical and mental health. In this work, we introduce a new dataset, ADARP, which contains physiological data and self-report outcomes collected in real-world ambulatory settings involving individuals diagnosed ...
arxiv
Local and Regional Anesthesia, 2017 Hal Robinson, Thomas Engelhardt Department of Anaesthesia, Royal Aberdeen Children’s Hospital, Aberdeen, UK Purpose: Myringotomy and tube placement is one of the most frequently performed ear, nose and throat (ENT) surgeries in the pediatric ...
Robinson H, Engelhardt T
doaj
Audio-based cough counting using independent subspace analysis [PDF]
arXiv, 2021 In this paper, an algorithm designed to detect characteristic cough events in audio recordings is presented, significantly reducing the time required for manual counting. Using time-frequency representations and independent subspace analysis (ISA), sound events that exhibit characteristics of coughs are automatically detected, producing a summary of ...
arxiv
Ambulatory models for autologous stem-cell transplantation: a systematic review of the health impact
Frontiers in ImmunologyAutologous stem-cell transplantation (ASCT) is the standard of care for the management of multiple myeloma and has a well-established role in the treatment of some types of lymphoma.
Miguel Ángel Prieto del Prado +1 more
doaj +1 more source
Classification of Pathological and Normal Gait: A Survey [PDF]
arXiv, 2020 Gait recognition is a term commonly referred to as an identification problem within the Computer Science field. There are a variety of methods and models capable of identifying an individual based on their pattern of ambulatory locomotion. By surveying the current literature on gait recognition, this paper seeks to identify appropriate metrics, devices,
arxiv