electrocardiogram; deep metric learning; k-nearest neighbors classifier; premature ventricular contraction; dimensionality reduction; classifications; Laplacian eigenmaps; locality preserving projections; compressed sensing; convolutional neural network; EEG; epileptic seizure detection; RISC-V; ultra-low-power; sepsis; atrial fibrillation; prediction; heart rate variability; feature extraction; random forest; annotations; myoelectric prosthesis; sEMG; grasp phases analysis; grasp classification; machine learning; ...
Read More
electrocardiogram; deep metric learning; k-nearest neighbors classifier; premature ventricular contraction; dimensionality reduction; classifications; Laplacian eigenmaps; locality preserving projections; compressed sensing; convolutional neural network; EEG; epileptic seizure detection; RISC-V; ultra-low-power; sepsis; atrial fibrillation; prediction; heart rate variability; feature extraction; random forest; annotations; myoelectric prosthesis; sEMG; grasp phases analysis; grasp classification; machine learning; electronic nose; liver dysfunction; cirrhosis; semiconductor metal oxide gas sensor; vagus nerve; intraneural; decoding; intrafascicular; recording; carbon nanotube; artificial intelligence; lens-free shadow imaging technique; cell-line analysis; cell signal enhancement; deep learning; compressed sensing; ECG signal; reconstruction dictionaries; projection matrices; signal classifications; osteopenia; sarcopenia; XAI; SHAP; IMU; gait analysis; artificial intelligence; sensors; convolutional neural networks; Parkinson's disease; biomedical monitoring; accelerometer; pressure sensor; disease management; electromyography; correlation; high blood pressure; hypertension; photoplethysmography; electrocardiography; calibration; classification models; machine learning; deep learning; COVID-19; ECG trace image; transfer learning; Convolutional Neural Networks (CNN); feature selection; sympathetic activity (SNA); skin sympathetic nerve activity (SKNA); electrodes; electrocardiogram (ECG); cardiac time interval; dynamic time warping; fiducial point detection; heart failure; seismocardiography; wearable electroencephalography; motor imagery; motor execution; beta rebound; brain-machine interface; feature extraction; EEG classification; n/a
Read Less
Book Details
Seller
Sort
Seller Rating
Price: Low to High
Price: High to Low
Condition
Condition: Reverse
Pub Date
Pub Date: Reverse
Sellers Near Me
Hardcover,
New
2022, Mdpi AG
ISBN-13:
9783036546018
See Item Details ▾
Alibris
BEST
NV, USA
$71.60
Add to Cart
Add this copy of Intelligent Biosignal Processing in Wearable and to cart. $71.60, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2022 by Mdpi AG.
Edition:
2022, Mdpi AG
Hardcover,
New
Available Copies: 10+
Details:
ISBN:
3036546014
ISBN-13:
9783036546018
Pages:
318
Publisher:
Mdpi AG
Published:
2022
Language:
English
Alibris ID:
17248901758
Shipping Options:
Standard Shipping: $4.99
Trackable Expedited: $9.99
Two Day Air: $29.99
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Sewn binding. Cloth over boards. 318 p.
Hide Details ▴
Hardcover,
New
2022, Mdpi AG
ISBN-13:
9783036546018
See Item Details ▾
Booksplease
HIGH
Southport,
MERSEYSIDE,
UNITED KINGDOM
$107.04
Add to Cart
Add this copy of Intelligent Biosignal Processing in Wearable and to cart. $107.04, new condition, Sold by Booksplease rated 4.0 out of 5 stars, ships from Southport, MERSEYSIDE, UNITED KINGDOM, published 2022 by Mdpi AG.
Edition:
2022, Mdpi AG
Hardcover,
New
Available Copies: 5
Details:
ISBN:
3036546014
ISBN-13:
9783036546018
Pages:
318
Publisher:
Mdpi AG
Published:
2022
Language:
English
Alibris ID:
18082231867
Shipping Options:
Standard Shipping: $4.99
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Sewn binding. Cloth over boards. 318 p.
Hide Details ▴