Heart rate monitoring in dynamic movements from a wearable system

Proc. 5th Int. Workshop on Wearable and Implantable Body Sensor Networks, BSN2008, in conjunction with the 5th Int. Summer School and Symp. on Medical Devices and Biosensors, ISSS-MDBS 2008

Volumn , Issue , 2008, Pages 272-275

  Wen, Yaofeng ^a   Yang, Rong ^b   Chen, Yuquan ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b Computer Science Department of BJYPC ^*  (China)

Author keywords

[No Author keywords available]

Indexed keywords

BIOSENSORS; CARBON FIBER REINFORCED PLASTICS; HEALTH; PATIENT MONITORING; REAL TIME SYSTEMS; SENSORS; SMART SENSORS; WEARABLE COMPUTERS;

CLASSIFICATION ALGORITHMS; DECISION SYSTEMS; DYNAMIC MOVEMENTS; EFFECTIVE SOLUTION; HEALTH ASSESSMENTS; HEART RATE; HEART RATE VARIABILITY; HEART-RATE MONITORING; INTELLIGENT SENSORS; MEDICAL DEVICES; PHYSICAL ACTIVITIES; PROTOTYPE SYSTEMS; SUMMER SCHOOLS; WEARABLE SYSTEMS;

SENSOR NETWORKS;

EID: 52049116074     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSMDBS.2008.4575072     Document Type: Conference Paper

References (8)

1. C. Falcone, M.P. Empana, and C. Klersy, et al. Rapid Heart Rate Increase at Onset of Exercise Predicts Adverse Cardiac Events in Patients With Coronary Artery Disease. Circulation. 2005, Vol.112, pp.1959-1964.
2. X. Jouven, J. P. Empana, and P. Schwartz, et al. Heart-rate profile during exercise as a predictor of sudden death. NEngl JMed. 2005; Vol. 352, pp.1951-58.
3. C. R. Cole, E. H. Blackstone, and F. J. Pashkow, et. al. Heart-rate recovery immediately after exercise as a predictor of mortality. The New England Journal of Medicine, 1999, Vol. 341, pp.1351-1357.
4. N. J. Leeper, E. E. Dewey, and E. A. Ashley, et. al, Prognostic value of heart rate increase at onset of exercise testing. Circulation, January 30, 2007; 115(4):468-474.
5. J.F. Knight, H.W. Bristow, and S. Anastopoulou, et. al. Uses of Accelerometer Data Collected from a Wearable System. Personal and Ubiquitous Computing, 2007, 11(2):117-132.
6. L. Bao and S. Intille. Activity recognition from user-annotated acceleration data. In: Proc. of the 2nd Annual IEEE Int'l Conf. on Pervasive Computing and Communications Workshops (2004), 2004, pp. 1-17.
7. J. Parkka, M. Ermes, and P.Mantyjarvi, et.al. Activity classification using realistic data from wearable sensors. IEEE Trans. Inf. Technol. Biomed. 2006; 10(1): 119-128.
8. D. M. Karantonis, M. R. Narayanan, and M. Mathie, et. al. Implementation of a Real-Time Human Movement Classifier Using a Triaxial Accelerometer for Ambulatory Monitoring, IEEE Trans. Info. Tech Biomed., 2006, 10(1):156-167.