Brezplačna dostava za naročila nad 69.99 € na paketomatih Pošte Slovenije.

Preverjanje stanja naročila

Postanite del skupnosti ljubiteljev knjig z vsega sveta in uživajte v številnih ugodnostih. Ustvarite brezplačen račun

Brezplačna dostava Zásilkovna nad 69.99 €

Zbirna točka GLS 4.49 € Zbirna točka DPD 2.99 € Kurirska služba GLS 5.49 € Kurir DPD 3.49 € Kurirska služba Express One 3.49 € Zbirno mesto Express One 3.49 € Zbirno mesto Pošte Slovenije 3.49 € Dostava preko Pošte Slovenije 3.49 €

Kontakt

Kako nakupovati

Pomoč

Moj račun

▸ Prazna :-(

Brezplačna dostava za naročila nad 69.99 € na paketomatih Pošte Slovenije.

Pattern Recognition Approach to Electromyography Data

Name: Pattern Recognition Approach to Electromyography Data
Brand: VDM Verlag
SKU: 06836818
Price: 44.67 EUR
Availability: InStock
Author: Ivan Mitzev
ISBN: 9783639297843

Ivan Mitzev

Jezik

Angleščina

Knjiga Mehka

Koda Libristo: 06836818

Založba VDM Verlag, oktober 2010

EMG classification is widely used in electric control of mechanically developed prosthesis, robots d... Celoten opis

Koda Libristo: 06836818

108 b

44.67 €

Od založnika po naročilu Odposlali bomo v 17-27 dneh

Do 30 dni za vračilo

Drugi so kupili tudi

Ako postaviť monopost F1 Adrian Newey

Trda

20.06 €

Pour une pédagogie de la décroissance Escach

Mehka

18.85 €

Kollárovci - Vianoce s Kollárovcami Kollárovci Knjiga

binding.

14.01 €

Krvavé zrcadlo Brent Weeks

Mehka

14.51 €

Shivambu Kalpa - Una nuova terapia per la guarigione Mohammad Yaqub Khan

Mehka

30.15 €

Ciao, Amore, ciao Eric Pfeil

Mehka

11.89 €

Introduccio?n a la Geopoli?tica BARBARA LOYER

Mehka

29.75 €

Alcune Narrazioncelle: Tolte Da' Piu Antichi Chiosatori Della Commedia (1840) Dante Allighieri

Mehka

19.26 €

Nobiliaire Du Diocese Et de la Generalite de Limoges. Tome 2 (Ed.1863-1882) Joseph Nadaud

Mehka

37.21 €

La Ley 50: (Tercera Edición) Curtis James Jackson III 50 Cent

Mehka

13.61 €

Nedostatočný pocit vlastnej hodnoty Heinz-Peter Röhr

Mehka

11.79 €

Funcraft - Das inoffizielle Quizbuch fur Minecraft Fans Theo von Taane

Mehka

4.33 €

Proces Des Prevenus de la Conspiration Formee A Lyon Au Mois de Janvier 1816 Chambet

Mehka

15.62 €

Na stanowiska bojowe! Reinhard Hardegen

Trda

10.88 €

Pasto nudo William Burroughs

Mehka

12.60 €

Rhinocéros de Ionesco - Incipit Jeanne Digne-Matz

Mehka

12.70 €

Qualidade de Experiencia em Servicos de Comunicacoes Demóstenes Zegarra Rodríguez

Mehka

35.19 €

Notruf Hafenkante, 4 DVDs. Staffel.1 Andrea Fahning

DVD

22.18 €

Risiko und Risikopolitik bei Kreditgenossenschaften. Reiner Selbach

Mehka

33.98 €

20 let nového Polska v reportážích podle Mariusze Szczygieła Mariusz Szczygiel

Trda

5.64 €

EMG classification is widely used in electric control of mechanically developed prosthesis, robots development, clinical application etc. It has been evaluated for years, but the main goal of this research is to develop an easy to implement and fast to execute pattern recognition method for classifying signals used for human gait analysis. This method is based on adding two new temporal features (form factor and standard deviation) for EMG signal recognition and using them along with several popular features (area under the curve, wavelength function-pathway and zero crossing rate) to come up with a low complexity suitable feature extraction. Results are presented for EMG data and a comparison with existing methods is made to validate the applicability of the foregoing method. It is shown that the best combination in terms of accuracy and time performance is given by spectral and temporal extraction features along with neural network recognition algorithm. Ideas from this thesis could be useful for any kind of biomedical signal recognition such as recognizing abnormal EMG, ECG, EEG sets as well for searching already scanned signals.