A 1.8 V Gm-C Highly Tunable Low Pass Filter for Sensing Applications

Pérez-Bailón, J.; Calvo, B.; Medrano, N.; Ramírez-Angulo, J.

doi:10.1109/i2mtc43012.2020.9128692

Cited by 4 publications

(6 citation statements)

References 14 publications

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“…Nevertheless, Table 6 presents a few examples of designs found in the literature that seem to fulfill our specifications. The solution proposed in [68] is basically an improved version of a widely tunable G m -C integrator designed in [69]. Despite providing relatively low power consumption, dimensions, and a wide range of cut-off frequency flexibility, the filter of [68] still presents two possible issues.…”

Section: State-of-the-art Solutionsmentioning

confidence: 99%

“…The solution proposed in [68] is basically an improved version of a widely tunable G m -C integrator designed in [69]. Despite providing relatively low power consumption, dimensions, and a wide range of cut-off frequency flexibility, the filter of [68] still presents two possible issues. First, its lowest achievable cut-off frequency is too close to the frequency of the slowest Haar wavelet (0.39 Hz), which, as explained in Section 4.1, may eventually be required to extract the features from inertial signals during the HAR task.…”

Section: State-of-the-art Solutionsmentioning

confidence: 99%

“…Second, a buffer is necessary to pass from the mixer's differential output to the filter's single-ended input, as shown in Figure 9. Despite a higher minimum cut-off frequency and increased power consumption as opposed to [70], the circuit in [68] occupies a significantly lower area, provides a larger input dynamic range, and uses a 180 nm CMOS technology as well as the chosen amplification stage from [62] and the digital wavelet generator synthesized in [16]. Hence, in Section 5, we perform the simulations at the schematic level of the G m -C integrator based on the design elaborated in [68] with an aim to achieve a very low cut-off frequency but without unnecessary tuning.…”

Section: State-of-the-art Solutionsmentioning

confidence: 99%

“…In this section, we present the simulations of the first-order LPF (G m -C integrator) based on the design in [68] and define its biasing and control voltages to achieve a cut-off frequency low enough for the explored A2F converter's applications. The schematic of the G m -C integrator is shown in Figure 11 with all transistors' dimensions.…”

Section: Gm-c Integrator Designmentioning

confidence: 99%

“…Therefore, the optimal pair of V t2 and V gc values should be chosen. Since the integrator in [68] was designed in a 180 nm CMOS technology from TSMC ® , which differs from targeted XFAB © technology, and several biasing voltages are also not stated in the paper, we present below the simulations at the schematic level to define all the necessary and missing voltage values and assess the integrator's performance. First, DC simulations of the circuit in the open-loop configuration are performed to define proper V t1 and V c values.…”

Section: Gm-c Integrator Designmentioning

confidence: 99%

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Towards Flexible and Low-Power Wireless Smart Sensors: Reconfigurable Analog-to-Feature Conversion for Healthcare Applications

Manokhin,

Chollet,

Desgreys

2024

Sensors

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Analog-to-feature (A2F) conversion based on non-uniform wavelet sampling (NUWS) has demonstrated the ability to reduce energy consumption in wireless sensors while employed for electrocardiogram (ECG) anomaly detection. The technique involves extracting only relevant features for a given task directly from analog signals and conducting classification in the digital domain. Building on this approach, we extended the application of the proposed generic A2F converter to address a human activity recognition (HAR) task. The performed simulations include the training and evaluation of neural network (NN) classifiers built for each application. The corresponding results enabled the definition of valuable features and the hardware specifications for the ongoing complete circuit design. One of the principal elements constituting the developed converter, the integrator brought from the state-of-the-art design, was modified and simulated at the circuit level to meet our requirements. The revised value of its power consumption served to estimate the energy spent by the communication chain with the A2F converter. It consumes at least 20 and 5 times less than the chain employing the Nyquist approach in arrhythmia detection and HAR tasks, respectively. This fact highlights the potential of A2F conversion with NUWS in achieving flexible and energy-efficient sensor systems for diverse applications.

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Section: State-of-the-art Solutionsmentioning

confidence: 99%