De Aller-Bedste Bøger - over 12 mio. danske og engelske bøger
Levering: 1 - 2 hverdage
Hjælp
Login
  1. Forside
  2. Bøger
  3. Business og læring
  4. Videnskab
  5. ML-Based Cardiac Arrhythmia Diagnosis using ECG and PPG Signal Features

ML-Based Cardiac Arrhythmia Diagnosis using ECG and PPG Signal Features

af Lakshmi Devi R
ML-Based Cardiac Arrhythmia Diagnosis using ECG and PPG Signal Features af Lakshmi Devi R
Bag om ML-Based Cardiac Arrhythmia Diagnosis using ECG and PPG Signal Features

"ML-Based Cardiac Arrhythmia Diagnosis using ECG and PPG Signal Features" by Lakshmi Devi R. is an innovative and comprehensive study on the use of machine learning algorithms for the diagnosis of cardiac arrhythmia using electrocardiogram (ECG) and photoplethysmogram (PPG) signal features. Through detailed research and analysis, Lakshmi Devi R. highlights the potential benefits of machine learning in accurately detecting various types of cardiac arrhythmias. The author also discusses the significance of using both ECG and PPG signals to improve the accuracy of the diagnosis. Whether you are a healthcare professional looking for new approaches to diagnosing cardiac arrhythmias or a researcher interested in the latest advancements in the field, "ML-Based Cardiac Arrhythmia Diagnosis using ECG and PPG Signal Features" is an essential resource. Order your copy today and discover how machine learning can play a vital role in improving the accuracy and efficiency of cardiac arrhythmia diagnosis.

Vis mere
  • Sprog:
  • Engelsk
  • ISBN:
  • 9786801031627
  • Indbinding:
  • Paperback
  • Sideantal:
  • 184
  • Udgivet:
  • 3. april 2023
  • Størrelse:
  • 152x11x229 mm.
  • Vægt:
  • 276 g.
  • 2-3 uger.
  • 26. november 2024
På lager

Normalpris

Abonnementspris

- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding

Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.

Bag om Lakshmi Devi R

Vis alle bøger af Lakshmi Devi R

Beskrivelse af ML-Based Cardiac Arrhythmia Diagnosis using ECG and PPG Signal Features

"ML-Based Cardiac Arrhythmia Diagnosis using ECG and PPG Signal Features" by Lakshmi Devi R. is an innovative and comprehensive study on the use of machine learning algorithms for the diagnosis of cardiac arrhythmia using electrocardiogram (ECG) and photoplethysmogram (PPG) signal features.
Through detailed research and analysis, Lakshmi Devi R. highlights the potential benefits of machine learning in accurately detecting various types of cardiac arrhythmias. The author also discusses the significance of using both ECG and PPG signals to improve the accuracy of the diagnosis.
Whether you are a healthcare professional looking for new approaches to diagnosing cardiac arrhythmias or a researcher interested in the latest advancements in the field, "ML-Based Cardiac Arrhythmia Diagnosis using ECG and PPG Signal Features" is an essential resource.
Order your copy today and discover how machine learning can play a vital role in improving the accuracy and efficiency of cardiac arrhythmia diagnosis.

Brugerbedømmelser af ML-Based Cardiac Arrhythmia Diagnosis using ECG and PPG Signal Features



Andre købte også..
Find lignende bøger
Bogen ML-Based Cardiac Arrhythmia Diagnosis using ECG and PPG Signal Features findes i følgende kategorier: