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Volumn , Issue , 2007, Pages 555-560

Detecting walking activity in cardiac rehabilitation by using accelerometer

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL COMPLEXITY; COMPUTER NETWORKS; INTELLIGENT CONTROL; PATIENT REHABILITATION; SENSORS; SMART SENSORS; SUPPORT VECTOR MACHINES; URBAN PLANNING; WAVELET DECOMPOSITION; WAVELET TRANSFORMS;

EID: 51349163122     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSNIP.2007.4496903     Document Type: Conference Paper
Times cited : (60)

References (15)
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    • Short-term change in distance walked in 6 min is an indicator of outcome in patients with chronic heart failure in clinical practice
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    • Andrea Passantino, Rocco Lagioia, Filippo Mastropasqua, and Domenico Scrutinio, "Short-term change in distance walked in 6 min is an indicator of outcome in patients with chronic heart failure in clinical practice.", J Am Coll Caidiol, vol. 48, no. 1, pp. 99-105, Jul 2006.
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    • Measurement of stand-sit and sit-stand transitions using a miniature gyroscope and its application in fall risk evaluation in the elderly
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    • B. Najati, K. Aminian, F. Loew, Y. Blanc, and P.A. Robert, "Measurement of stand-sit and sit-stand transitions using a miniature gyroscope and its application in fall risk evaluation in the elderly", Biomedical Engineering, IEEE Transactions on, vol. 49, no. 8, pp. 843-851, Aug. 2002.
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    • Garment-based detection of falls and activities of daily living using 3-axis mems accelerometer
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.