Projects

Compressed-sensing analog front-end (AFE) for the acquisition of atrial electrograms (AEG)

1. Proposed rakeness based compressed-sensing to acquire multichannel atrial electrograms (AEG); Results presented at IEEE ISCAS 2019. Paper
2. Filed provisional US patent titled “COMPRESSED-SENSING OF SPATIOTEMPORALLY-CORRELATED AND/OR RAKENESS-PROCESSED ELECTROGRAMS” LinkDate: April, 2019.
3. Hardware architectural modeling of CS-AFE for multichannel AEG acquisition
4. Integration of flexible array and AFE for use at Erasmus Medical Center, Rotterdam

Figure 1: Representation of the atrial signals: (a) During sinus rhythm with A and B representing the transmission and the receiving node respectively; (b) Atrial fibrillation with a1, a2, a3 representing the secondary focii.

Figure 2: System-level diagram of the acquisition of atrial electrograms.

State-space approach for designing high-pass $\Sigma\Delta$ ADCs for the acquisition of electrocardiogram (ECG)

1. Proposed a state-space methodology to synthesize arbitrary signal transfer characteristic $\Sigma$$\Delta$ ADC.
2. Dynamic range of the proposed orthonormal $\Sigma$$\Delta$ ADC improves by 3 dB.
3. Taped out a state-spaced based high-pass sigma-delta ADC AFE for ECG signal acquisition.

Figure 1: Power spectral density of (a) Clean ECG (b) ECG with baseline wandering (Data courtesy: MIT-BIH database)

Figure 2: Flowchart of the proposed state-space based approach for $\Sigma$$\Delta$ ADC topologies

Figure 3: Time-domain ECG signal from the orthonormal HP$\Sigma$$\Delta$ modulator output compared with raw ECG (MIT-BIH), Harrison amplifier and MATLAB filtered output