Multi-sensor fusion for robust computation of breathing rate

Electronics Letters

Volumn 38, Issue 22, 2002, Pages 1314-1316

  Tarassenko, L ^a   Mason, L ^a   Townsend, N ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; ELECTRIC IMPEDANCE; ELECTROCARDIOGRAPHY; KALMAN FILTERING; LIGHT ABSORPTION; RESPIRATORY SYSTEM;

BREATHING RATE;

SENSOR DATA FUSION;

EID: 0037168168     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:20020773     Document Type: Article

References (6)

1. Moody, G.B., et al.: 'Clinical Validation of the ECG-Derived Respiration Technique', Comput. Cardiol., 1986, 13, pp. 507-510.
2. Cohen, K.P., et al.: 'Comparison of Impedance and Inductance Ventilation Sensors on Adults During Breathing, Motion and Simulated Airway Obstruction', IEEE Trans. Biomed. Eng., 1997, 44, pp. 555-566.
3. Moody, G.B., et al.: 'Derivation of Respiratory Signals from Multi-Lead ECGs', Comput. Cardiol., 1985, 12, pp. 113-116.
4. Harteet, T.V., Wheeler, A.P., and Sheller, J.R.: 'Use of Pulse Oximetry to Recognize Severity of Airflow Obstruction in Obstructive Airway Disease', Chest, 1999, 115, pp. 475-481.
5. Gustafson, D.E., et al.: 'ECG/VCG Rhythm Diagnosis using Statistical Signal Analysis-I. Identification of Persistent Rhythms', IEEE Trans. Biomed. Eng., 1978, 25, pp. 344-353.
6. Townsend, N.W.: 'Fusing n channels of information', Internal Technical Note, 2002 (Also available from wwwv.robots.ox.ac.uk/~spanner/notes.