Title
Online stress diagnosing system: Assessing individual stress using fuzzy casebased reasoning calculations,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
The present work attends to diagnose and classify individual stress using online client server architecture where the casebased reasoning (CBR) and fuzzy logic methods are implemented in the server side. Recent studies show that stress may cause health problems, and several clinical studies state that it is possible to measure the stress level of a patient through their fingers temperature. Therefore, the main aim of this book is to determine individual stress level using a special hardware device which records the fingers temperature. Afterwards, the recorded data is sent to the server in order to be matched and compared with 39 sample cases stored in the case library, already diagnosed and classified by an expert clinician. CBR and fuzzy similarity return the closest cases according to a matching procedure which considers several features (temperature evolution, gender, room temperature...). Other available retrieving methods, like Euclidean distance or similarity matrix, have been exhaustively evaluated as well, fuzzy similarity revealing as the most accurate. Everything is gathered under an intuitive and very usable GUI, easily accessible for both patients and clinicians.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.