Comparison of Recognition Accuracy of ADL with Sensor Wearing Positions using 3-Axis Accelerometer
Dong Ik Shin, Sekyeong Joo, Soo Jin Huh
2015
Abstract
The monitoring of single elderly is being more important due to rapid transition to aging society. There are many bio-signals to monitor the emergent state of elderly. In this paper we propose new criteria to classify daily life activities using accelerometer and pulse oximeter. We categorized activities with the motility of real action. The upper most criteria are normal and abnormal activity. The lower criteria are ‘small or large movement’, ‘periodic or random movement’, ‘no movement or shock’. Then we derive some parameters to get thresholds to classify these activities according to our new criteria. The main parameters are entropy, energy and autocorrelation. Some experiments were carried out to determine classifying thresholds. Finally we got results of classified activities such as ‘no movements’, ‘small movements’, ‘large movements’, ‘periodic movements’ and ‘falls’. We got nearly 100% of classifying result for falls and no movements. In this case of ‘quasi-emergency state’ our developing device investigates further status of elderly by measuring of heart rate and oxygen saturation (SpO2) using pulse oximeter. Finally the device decides in emergency, it sends a short message to server and then connects to the u-Healthcare centre or emergency centre and one’s family.
References
- Boo-Ho Yang, Sokwoo Rhee, Development of the ring sensor for healthcare automation, Robotics and Autonomous Systems 30 (2000) 273-281
- P. Mendoza, P. Gonzalez, B. Villanueva, E. Haltiwanger, H. Nazeran, A Web-based Vital Sign Telemonitor and Recorder for Telemedicine Applications, in Proceedings of the 26th Annual International Conference of the IEEE EMBS San Francisco, CA, USA, September 1-5, 2004, pp. 2196-2199.
- Giuseppe Anastasi, Marco Conti, Mario Di Francesco, Andrea Passarell, Energy conservation in wireless sensor networks: A survey, Ad Hoc Networks 7 (2009) 537-568
- Francis E.H. Tay, D.G. Guo, L. Xu, M.N. Nyan, K.L. Yap, MEMSWear-biomonitoring system for remote vital signs monitoring, Journal of the Franklin Institute 346 (2009) 531-542
- Prajakta Kulkarni, Yusuf Ozlurk, mPHASiS: Mobile patient healthcare and sensor information system, Journal of Network and Computer Applications, 2010
- Amr Amin Hafez, Mohamed Amin Dessouky, Hani Fikri Ragai, Design of a low-power ZigBee receiver frontend for wireless sensors, Micro Electronics Journal 40 (2011) 1561-1568
- Arunkumar Pennathur, Rohini Magham, Luis Rene Contreras, Winifred Dowling, Daily living activities in older adults:Part II-effect of age on physical activity patterns in older Mexican American adults, International Journal of Industrial Ergonomics 32 (2003) 405-418
- G.M. Lyons, K.M. Culhane, D. Hilton, P.A. Grace, D. Lyons, A description of an accelerometer-based mobility monitoring technique, Medical Engineering & Physics 27 (2005) 497-504
- Marcia Finlayson, Trudy Mallinson, Vanessa M. Barbosa, Activities of daily living (ADL) and instrumental activities of daily living (IADL) items were stable over time in a longitudinal study on aging, Journal of Clinical Epidemiology 58 (2005) 338-349
- A. Mannini, A.M. Sabatini, Computational methods for the automatic classification of postures and movements from acceleration data, Gait & Posture 30S (2009) S26- S74
- A. Godfrey, A.K. Bourke, G.M. Ólaighin, P. van de Ven, J. Nelson, Activity classification using a single chest mounted tri-axial accelerometer, Medical Engineering & Physics, in Press (2011)
- Angela L. Jefferson, Robert H. Paul, Al Ozonoff, Ronald A. Cohen, Evaluating elements of executive functioning as predictors of instrumental activities of daily living (IADLs), Archives of Clinical Neuropsychology 21 (2006) 311-320
- Thessa I.M. Hilgenkamp, Ruud van Wijck, Heleen M. Evenhuis, (Instrumental) activities of daily living in older adults with intellectual disabilities, Research in Developmental Disabilities 32 (2011) 1977-1987
- Barker SJ, Morgan S., A Laboratory Comparison of the Newest “Motion-Resistant” Pulse Oximeters During Motion and Hypoxemia, Anesthesia and Analgesia 2004;98(55),S2:A6
- Anna Letterstål, Fredrik Larsson, Assessment of vital signs on admission to short time emergency wards improves patient safety and cost-effectiveness, Australasian Emergency Nursing Journal, Volume 10, Issue 4, November 2007, Page 191
- Gülendam Hakverdioglu Yönt, Esra Akin Korhan, Leyla Khorshid, Comparison of oxygen saturation values and measurement times by pulse oximetry in various parts of the body, Applied Nursing Research, 2010
- Elif Derya Ubeyli, Dean Cvetkovic, Irena Cosic, Analysis of human PPG, ECG and EEG signals by eigenvector methods, Digital Signal Processing 20 (2010) 956-963
Paper Citation
in Harvard Style
Shin D., Joo S. and Huh S. (2015). Comparison of Recognition Accuracy of ADL with Sensor Wearing Positions using 3-Axis Accelerometer . In Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2015) ISBN 978-989-758-071-0, pages 180-184. DOI: 10.5220/0005279901800184
in Bibtex Style
@conference{biodevices15,
author={Dong Ik Shin and Sekyeong Joo and Soo Jin Huh},
title={Comparison of Recognition Accuracy of ADL with Sensor Wearing Positions using 3-Axis Accelerometer},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2015)},
year={2015},
pages={180-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005279901800184},
isbn={978-989-758-071-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2015)
TI - Comparison of Recognition Accuracy of ADL with Sensor Wearing Positions using 3-Axis Accelerometer
SN - 978-989-758-071-0
AU - Shin D.
AU - Joo S.
AU - Huh S.
PY - 2015
SP - 180
EP - 184
DO - 10.5220/0005279901800184