|
|
|
|
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
SCIDIR_on1259505271 |
| 003 |
OCoLC |
| 005 |
20231120010551.0 |
| 006 |
m o d |
| 007 |
cr ||||||||||| |
| 008 |
210709s2021 enk o 000 0 eng d |
| 040 |
|
|
|a HUA
|b eng
|e rda
|e pn
|c HUA
|d OCLCO
|d OPELS
|d OCLCF
|d N$T
|d NLE
|d OCLCO
|d EBLCP
|d OCLCO
|d OCLCQ
|d OCLCO
|
| 020 |
|
|
|a 012813173X
|q (ePub ebook)
|
| 020 |
|
|
|a 9780128131732
|q (electronic bk.)
|
| 020 |
|
|
|z 9780128130865
|q (pbk.)
|
| 020 |
|
|
|z 0128130865
|
| 035 |
|
|
|a (OCoLC)1259505271
|
| 050 |
|
4 |
|a R858
|
| 082 |
0 |
4 |
|a 610.285
|2 23
|
| 100 |
1 |
|
|a Krishnan, Sridhar,
|e author.
|
| 245 |
1 |
0 |
|a Biomedical signal analysis for connected healthcare /
|c Sridhar Krishnan.
|
| 264 |
|
1 |
|a London :
|b Academic Press,
|c 2021.
|
| 300 |
|
|
|a 1 online resource (1 volume)
|
| 336 |
|
|
|a text
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Includes index.
|
| 505 |
0 |
|
|a Front Cover -- Biomedical Signal Analysis for Connected Healthcare -- Biomedical Signal Analysis for Connected Healthcare -- Copyright -- Dedication -- Contents -- About the author -- Preface -- 1 -- Opportunities for connected healthcare -- 1. Introduction -- 2. Internet of things -- 2.1 Hardware -- 2.2 Software -- 3. Internet of medical things -- 3.1 Remote health monitoring -- 3.2 Smartphone application -- 4. Wearables for health monitoring -- 5. Biomedical signals -- 5.1 ECG signal -- 5.2 EEG signal -- 5.3 EMG signal -- 5.4 PPG signal -- 5.5 Speech signal
|
| 505 |
8 |
|
|a 6. Objectives and organization of the book -- References -- 2 -- Wearables design -- 1. Introduction -- 2. Wearables survey -- 2.1 EEG-based wearable devices -- 2.1.1 About EEG signals: properties and acquisition -- 2.1.2 Existing technology, drawbacks, and opportunities -- 2.1.3 Comparison with clinical EEG data -- 2.2 EMG-based wearable devices -- 2.2.1 About EMG signals: properties and acquisition -- 2.2.2 Existing technology, drawbacks, and opportunities -- 2.2.3 Comparison with clinical EMG data -- 2.3 ECG-based wearable devices -- 2.3.1 About ECG signals: properties and acquisition
|
| 505 |
8 |
|
|a 2.3.2 Existing technology, drawbacks, and opportunities -- 2.3.3 Comparison with clinical ECG data -- 2.4 Other electronic wearables -- 2.4.1 Photoplethysmogram -- 2.4.2 Auscultation of body sounds -- 2.4.3 Motion and gait analysis -- 3. Wearables design considerations -- 3.1 Signal factors -- 3.2 Human factors -- 3.3 Environmental factors -- 3.4 Medical factors -- 3.5 Economic factors -- 3.6 Other critical factors -- 4. Open hardware design considerations -- 4.1 Allocation of hardware design -- 4.2 Hardware requirements and methods -- 4.2.1 PPG sensor description and bioinstrumentation
|
| 505 |
8 |
|
|a 4.2.2 EMG sensor requirements and description -- 4.2.3 ECG sensor requirements and description -- 4.2.4 Microphone requirements and description -- 4.2.5 Motion analysis IMU requirements and description -- 4.2.6 Perspectives on wearables hardware design -- 5. Textile wearables -- 6. Contactless monitoring -- 7. Discussions -- References -- 3 -- Biomedical signals and systems -- 1. Introduction -- 2. Analog to digital conversion -- 2.1 Sampling -- 2.2 Quantization -- 2.2.1 Noise power -- 2.2.2 Signal power: Vp2 -- 3. Linear systems theory -- 3.1 Stability and causality -- 3.2 Frequency response
|
| 505 |
8 |
|
|a 4. Digital filters design -- 4.1 Design of FIR filters -- 4.2 Design of IIR filters -- 4.2.1 Method 1: Pole-zero placement method of IIR filter design -- 4.2.2 Method 2: Impulse-invariant method of IIR filter design -- 4.2.3 Method 3: Bilinear z-transform method of IIR filter design -- 4.2.3.1 BZT method for LPF design -- 4.2.3.2 BZT method for HPF design -- 4.3 Phase response considerations -- 4.4 Homomorphic filtering -- 5. Digital filter realization -- 5.1 FIR filter realization -- 5.2 IIR filter realization -- 6. Applications -- 6.1 Application 1: Noise filtering techniques
|
| 650 |
|
0 |
|a Medical informatics.
|
| 650 |
|
0 |
|a Biomedical engineering.
|
| 650 |
|
0 |
|a Signal processing.
|
| 650 |
|
2 |
|a Medical Informatics
|0 (DNLM)D008490
|
| 650 |
|
6 |
|a M�edecine
|x Informatique.
|0 (CaQQLa)201-0103112
|
| 650 |
|
6 |
|a G�enie biom�edical.
|0 (CaQQLa)201-0021888
|
| 650 |
|
6 |
|a Traitement du signal.
|0 (CaQQLa)201-0032324
|
| 650 |
|
7 |
|a biomedical engineering.
|2 aat
|0 (CStmoGRI)aat300250642
|
| 650 |
|
7 |
|a Biomedical engineering
|2 fast
|0 (OCoLC)fst00832568
|
| 650 |
|
7 |
|a Medical informatics
|2 fast
|0 (OCoLC)fst01014175
|
| 650 |
|
7 |
|a Signal processing
|2 fast
|0 (OCoLC)fst01118281
|
| 776 |
0 |
8 |
|i Print version:
|z 9780128130865
|
| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128130865
|z Texto completo
|
