Name
Abstract | ||
|---|---|---|
We present an ECG dataset collected in real-world scenarios for wearable devices that includes over 260 recordings of 90-210 seconds that provide guidance for designers to evaluate signal acquisition circuit and system solutions. Several variations on the signal acquisition path are demonstrated, including various sources of interference (baseline wander, motion artifacts, and power line interference), signal path variations (electrode type, coupling method, and common-mode rejection method), and electrode placements (wrist and chest). Based on detailed analysis of signal characteristics under different scenarios, analog front-end (AFE) design recommendations are proposed. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS) | Wearable Computers,ECG Dataset,Motion Artifact,Baseline Wander,Powerline Interference,WEAR |
Field | DocType | ISSN |
Computer vision,Coupling,Power line interference,Signal acquisition,Wearable computer,Computer science,Electronic engineering,Artificial intelligence,Interference (wave propagation),Wearable technology | Conference | 2163-4025 |
Citations | PageRank | References |
2 | 0.41 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| qingxue zhang | 1 | 2 | 0.41 |
| chakameh zahed | 2 | 2 | 0.41 |
| Viswam Nathan | 3 | 50 | 14.09 |
| Drew A. Hall | 4 | 36 | 15.16 |
| Roozbeh Jafari | 5 | 987 | 93.51 |