Abstract
Wearable devices rely on accurately read bio-potentials such as ECG, EEG, EMG, and EOG (ExG) to track health. Specifications-wise, such a system requires an input-referred-noise (IRN) < 5muVrms, input impedance (ZIN) > 10MOmega and BW sim 1kHz to readout ExG signals accurately [1]. In addition, a linear-input-range (IR) > 1Vpp is desirable to avoid saturation when motion/stimulation artifacts are present. Furthermore, the above has to be achieved energy-efficiently (textFOMSNDR > 175textdB) and at power envelopes < 10muW to reduce battery recharge-cycles.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE International Solid-State Circuits Conference, ISSCC 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 484-486 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781665428002 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 IEEE International Solid-State Circuits Conference, ISSCC 2023 - Virtual, Online, United States Duration: 19 Feb 2023 → 23 Feb 2023 |
Publication series
| Name | Digest of Technical Papers - IEEE International Solid-State Circuits Conference |
|---|---|
| Volume | 2023-February |
| ISSN (Print) | 0193-6530 |
Conference
| Conference | 2023 IEEE International Solid-State Circuits Conference, ISSCC 2023 |
|---|---|
| Country/Territory | United States |
| City | Virtual, Online |
| Period | 19/02/23 → 23/02/23 |
Bibliographical note
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