Enhancing the quality of life through wearable technology
By Sungmee Park, S. Jayaraman. IEEE Engineering in Medicine and Biology Magazine, 2003
636 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/0d3f6d650b1a878d5896e3b85914aeaeb9d78a4f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
In Electrical and Electronic Engineering
- Danilo de Rossi
- Benoît Latré
- Ingrid Moerman
- Piet Demeester
- Chris Blondia
- Federico Carpi
- Bart Braem
- Robert S. H. Istepanian
Citations in the corpus
- A survey on wireless body area networks (2011, background): “Furthermore, the data obtained during a large time interval in the patient’s natural environment offers a clearer view to the doctors than data obtained during short stays at the hospital [9].”
- Electroactive polymer-based devices for e-textiles in biomedicine (2005, background): “The last developed versions permit plugging in diverse conventional sensors used to monitor several vital signs, such as heart rate, respiration rate, electrocardiogram (ECG), pulse oximetry, and skin temperature [4], [5], [31].”
- Overview of wearable electronics and smart textiles (2017, background): “This can happen by constant monitoring of their physical condition by medical personnel in a non-invasive manner (see Figure 25) (Park & Jayaraman, 2003a).”
- Guest Editorial Introduction to the Special Section on M-Health: Beyond Seamless Mobility and Global Wireless Health-Care Connectivity (2004, background): “This concept is being implemented in a project concerned with wearable intelligent sensors and systems for E-medicine (WISSE) with a body area network (BAN) forming the communication infrastructure [16], [17].”
- A wearable health care system based on knitted integrated sensors (2005, background): “854512 must allow continuous remote control, in a “natural” environment without any discomfort for the users and without interfering with their daily activities [2].”
- Stress monitoring using a distributed wireless intelligent sensor system. (2003, background): “A wearable health-monitoring device using a personal area network (PAN) or BAN can be integrated into a user's clothing [7], [8].”
- Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement (2004, neutral): “One approach is to embed multiple sensors into an item of clothing (Gallasch et al 1996, Park and Jayaraman 2003).”