Wireless sensor networks for personal health monitoring: Issues and an implementation

By Aleksandar Milenkovic, Chris Otto, Emil Jovanov. Computer Communications, 2006

1,108 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/7512e24bfd2a07ed78054b887713f601d882f110

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

A Systematic Review of Wearable Patient Monitoring Systems – Current Challenges and Opportunities for Clinical Adoption (2017, background): “This is due to body movement or respiration and needs to be resolved [38].”
Enabling technologies for wireless body area networks: A survey and outlook (2009, neutral): “The Wearable Health Monitoring Systems (WHMS) is being developed at the University of Alabama [ 3 ] and targets a larger-scale telemedicine system for ambulatory health status monitoring.”
A micro electromagnetic low level vibration energy harvester based on MEMS technology (2009, background): “They will be widely used in wireless data transmission, environment control in offices and homes, consumer electronics, security and so on in the future (Benini et al. 2006; Jang et al. 2008; Michael et al. 2005; Aleksandar et al. 2006 ).”
A PSO based Energy Efficient Coverage Control Algorithm for Wireless Sensor Networks (2018, background): “Mini et al. [Mini, Udgata and Sabat (2014)] discussed node deployment and schedule problems in WSNs with the aim of deploying sensor nodes effectively.”
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG Via Block Sparse Bayesian Learning (2012, background): “Among many constraints in WBAN-based telemonitoring systems [8], the energy consumption is a primary design constraint [9].”
A survey on wireless body area networks (2011, background): “is similar to the one defined in [40] where a multi-tiered telemedicine system is presented.”
Wireless Body Area Networks: A Survey (2014, background): “WORLD population growth is facing three major challenges [1, 2]: demographic peak of baby boomers, increase of life expectancy leading to aging population and rise in health care costs.”
Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges (2015, background): “…the niche recreational fitness arena catered to by current devices, researchers have also considered applications of such technologies in clinical applications in remote health monitoring systems for long term recording, management and clinical access to patient’s physiological information [4]–[8].”
A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms, and Open Problems (2016, background): “In healthcare and biomedical applications, WSNs can be utilized for diagnostics, distance-monitoring of patients and their physiological data, as well as for tracking the medicine particles inside patients’ body, etc. [53].”
Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring (2011, background): “Wireless medical sensors should satisfy the following main requirements such as wearability, reliability, security, and interoperability [46]:”
The Evolution of MAC Protocols in Wireless Sensor Networks: A Survey (2013, background): “Therefore, many recently proposed MAC protocols are TDMA-based [42] [43] [44] [45].”
A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis (2010, background): “In [36], the development of a prototyped wearable wireless body area network (WWBAN) is described.”