A5046048172- Long-Term Effects of COVID-19
- Heart Rate Variability and Autonomic Control
- Functional Brain Connectivity Studies
- ECG Monitoring and Analysis
- Molecular Communication and Nanonetworks
- EEG and Brain-Computer Interfaces
- Wireless Body Area Networks
- COVID-19 and Mental Health
- Machine Fault Diagnosis Techniques
- Bluetooth and Wireless Communication Technologies
- Traumatic Brain Injury and Neurovascular Disturbances
- Energy Efficient Wireless Sensor Networks
- Neurobiology of Language and Bilingualism
- Neural and Behavioral Psychology Studies
- Infrared Thermography in Medicine
- Analog and Mixed-Signal Circuit Design
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Advanced Neuroimaging Techniques and Applications
- Fault Detection and Control Systems
- Motor Control and Adaptation
- Intensive Care Unit Cognitive Disorders
- Cerebrospinal fluid and hydrocephalus
- Neurological disorders and treatments
University of Toronto
2021-2023
Sunnybrook Research Institute
2022-2023
Sunnybrook Health Science Centre
2022-2023
Peking University
2017
Shenzhen University
2016
Introduction The long-term impact of COVID-19 on brain function remains poorly understood, despite growing concern surrounding post-acute syndrome (PACS). goal this cross-sectional, observational study was to determine whether there are significant alterations in resting among non-hospitalized individuals with PACS, compared symptomatic non-COVID infection. Methods Data were collected for 51 who tested positive (mean age 41±12 yrs., 34 female) and 15 controls had cold flu-like symptoms but...
Background Neurological symptoms associated with coronavirus disease 2019 (COVID‐19), such as fatigue and smell/taste changes, persist beyond infection. However, little is known of brain physiology in the post‐COVID‐19 timeframe. Purpose To determine whether adults who experienced flu‐like due to COVID‐19 would exhibit cerebral blood flow (CBF) alterations weeks/months infection, relative controls but tested negative for COVID‐19. Study Type Prospective observational. Population A total 39...
Post-acute coronavirus disease 2019 (COVID-19) syndrome (PACS) is a growing concern, with headache being particularly debilitating symptom high prevalence. The long-term effects of COVID-19 and post-COVID on brain function remain poorly understood, among non-hospitalized individuals. This study focused the power-law scaling behavior functional dynamics, indexed by Hurst exponent (H). measure suppressed during physiological psychological distress was thus hypothesized to be reduced in...
The Trail Making Test (TMT) is widely used to probe brain function and performed with pen paper, involving Parts A (linking numbers) B (alternating between linking numbers letters). relationship TMT performance the underlying activity remains be characterized in detail. Accordingly, sixteen healthy young adults using a touch-sensitive tablet capture enhanced metrics, such as speed of movements, during simultaneous electroencephalography (EEG). Linking non-linking periods were derived...
Abstract The long-term consequences of coronavirus disease 2019 (COVID-19) on brain physiology and function are not yet well understood. From the recently described NeuroCOVID-19 study, we examined cerebral blood flow (CBF) in 50 participants recruited to one two groups: 1) adults who previously self-isolated at home due COVID-19 (n = 39; 116.5 ± 62.2 days since positive diagnosis), or 2) controls experienced flu-like symptoms but had a negative diagnosis 11). Participants underwent arterial...
Cardiovascular disease, which is one of the most dangerous diseases in modern medicine, has become a threat to people's health. ECG kind information that can reflect physiological characteristics human heart. With development technology, achieving for health monitoring wearable hardware increasingly popular. The detection R-peak very important signal processing. This paper presents low complexity r-peak algorithm, suitable ASIC implementation. First all, algorithm use digital filter and...
In Human Body Communication (HBC) system, low power is still one of the most important research issues for monitoring nodes supplied by battery. Utilizing two-hop extension star network topology an efficient measure to reduce average transmission consumption and improve stability. This paper proposes a digital baseband system duty cycle load network. When are far apart from hub relatively, can change working mode selecting relay automatically according environment. The whole verified on FPGA...
Considering the bottleneck of energy efficiency and reliability in pervasive personalized wearable healthcare management based on Human Body Communication (HBC), an all-digital extraordinary HBC coordinator is proposed, as a configurable hub baseband system for Area Network (BAN). The unique BAN capable enhancing control, programming network system, core gateway between body sensor nodes devices outside body. With emphasis power consumption high data rate, implementation unit coordinator,...
This paper presents a low power electrocardiogram (ECG) signal processing application specific integrated circuit (ASIC) chip for real-time and reliable detection of heart rate (HR). At sampling frequency 250 Hz, the analog front-end (AFE) accurately senses digitizes raw ECG signal, which is then sent to digital (DSP). In DSP, after preprocessing, R-peak RR interval cumulative deviation detection, data will be transmitted terminal equipment via universal asynchronous receiver/transmitter...