A5016156700- Non-Invasive Vital Sign Monitoring
- Phonocardiography and Auscultation Techniques
- Artificial Intelligence in Healthcare
- Antenna Design and Analysis
- Electric Vehicles and Infrastructure
- Bluetooth and Wireless Communication Technologies
- Big Data and Business Intelligence
- ECG Monitoring and Analysis
- Wireless Body Area Networks
- Respiratory viral infections research
- Ultra-Wideband Communications Technology
- Atomic and Subatomic Physics Research
- Internet of Things and AI
- Obstructive Sleep Apnea Research
- IoT-based Smart Home Systems
- Advanced Battery Technologies Research
- Energy, Environment, and Transportation Policies
- Heart Rate Variability and Autonomic Control
- Advanced Chemical Sensor Technologies
Xidian University
2023-2025
Lahore University of Management Sciences
2021
Breathing pattern is a representation of human breathing in the rate, depth, and rhythm, which can reflect physical mental health conditions. Capturing identifying abnormal patterns help localize associated disorders have important implications for patient or potential patient. In this paper, recognition system proposed to monitor identify contactless, unobtrusive comfortable way. The utilize designed prototype based on WiFi signal deep learning architecture achieve reliable measurement...
Vital signs are important indicators to evaluate the health status of patients. Channel state information (CSI) can sense displacement chest wall caused by cardiorespiratory activity in a non-contact manner. Due influence clutter, DC components, and respiratory harmonics, it is difficult detect reliable heartbeat signals. To address this problem, paper proposes robust novel method for simultaneously extracting breath signals using software defined radios (SDR). Specifically, we model analyze...
Pakistan experienced a grave power shortfall between 2006 and 2017. The government responded to the situation through fast track development of plants. However, energy planners were unable accurately forecast electricity demand, resulting in where more generation is available than needed. plants are backed by take-or-pay contracts. Thus, even if not operating, substantial capacity payment still paid. To utilize this surplus year around loads On other hand, Northeastern has one worst air...
Objective: Contactless detection and classification of abnormal respiratory patterns is challenging, especially in multi-person scenarios. While Software-Defined Radio (SDR) systems have shown promise capturing subtle movements, the presence multiple people introduces interference complexity, making it difficult to distinguish individual breathing patterns, particularly when subjects are close together or similar conditions. Results: This paper presents a contactless, non-invasive system for...
This research focuses on the development and implementation of an Internet Things based Wireless sensor network (IoT-WSN) in healthcare for detecting assessing mobility pattern COVID-19 patient within coverage region. Signal processing applications Pyroelectric Infrared sensors (PIR) are being investigated to detect non-contact human body infrared radiation. Human temperature's time-varying signal is utilized infer Finding appropriate design circuit required a significant procedure. sensors,...