A Power-Efficient Signal-Specific ADC for Sensor-Interface Applications

Rahiminejad, Ehsan; Saberi, Mehdi; Lotfi, Reza

doi:10.1109/tcsii.2016.2622161

Cited by 16 publications

(7 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the T-to-P ECG waveform, which amplitude variations are lower than 0.1 mV during at least 0.3 s, and the QRS complex, which amplitude is around 1 mV during at most 0.1 s Fig. 1 Configuration of a wearable ECG monitoring system [22], are sampled at the same frequency [23,24]. That delivers an important number of redundant samples in the T-to-P ECG waveform.…”

Section: Ecg Analog-to-digital Converters' State Of the Artmentioning

confidence: 99%

Event-Driven ECG Sensor in Healthcare Devices for Data Transfer Optimization

Ben-Romdhane

Maalej

Tlili³

et al. 2020

Arab J Sci Eng

View full text Add to dashboard Cite

The long-term monitoring of cardiovascular signs requires a wearable and connected electrocardiogram (ECG) healthcare device. It increases user's comfort and diagnosis quality of chronic cardiac and/or high-risk patients. This paper covers the enormous data to be transmitted from the ECG device to the physician's, namely the cardiologist's, control unit. Existent ECG devices uniformly sample analog signals and convert them to digital samples which are compressed before data transmission. However, event-driven sampling simultaneously compresses and samples. Therefore, this paper quantitatively compares successive approximation register analog-to-digital converter (SAR ADC) with discrete wavelet transform (DWT) compression and level-crossing analog-to-digital converter (LC-ADC). Evaluation metrics are the percent root-mean-square difference (PRD), bit compression ratio (BCR) and data length in bits. When a 12-bit reconstruction is operated on the outputs of an 8-bit LC-ADC with 12-bit and 10-kHz reference counter, the BCR is equal to 80% for 75% of test ECG signals. That is better than the 71.87% BCR of the 12-bit 1-kHz SAR ADC with DWT compression. The modeled LC-ADC guarantees a signal quality in terms of PRD comparable to the PRD of the SAR ADC with DWT compression. The data length in bits of the LC-ADC is lower than the data length in bits of the SAR ADC with more than 14-bit resolution with DWT compression for 82% of the test ECG signals. However, for lower resolutions, to obtain lower power consumption for radiofrequency transmission, a better alternative remains the SAR ADC with DWT compression.

show abstract

Section: Ecg Analog-to-digital Converters' State Of the Artmentioning

confidence: 99%

Event-Driven ECG Sensor in Healthcare Devices for Data Transfer Optimization

Ben-Romdhane

Maalej

Tlili³

et al. 2020

Arab J Sci Eng

View full text Add to dashboard Cite

show abstract

“…A 10-bit SAR ADC for medical implant devices with a novel switching scheme to improve the energy efficiency is presented in [54]. Some other state-of-the-art designs presented in recent times are [55,56]. The SAR ADC discussed here is based on the architecture provided in the work [57] which is again based on the work [58].…”

Section: 23 Sar (Successive Approximation Register) Type Adc (Analmentioning

confidence: 99%

Design of a Programmable Passive SoC for Biomedical Applications Using RFID ISO 15693/NFC5 Interface

Bhattacharyya

Gruenwald

Jansen

et al. 2018

JLPEA

View full text Add to dashboard Cite

Low power, low cost inductively powered passive biotelemetry system involving fully customized RFID/NFC interface base SoC has gained popularity in the last decades. However, most of the SoCs developed are application specific and lacks either on-chip computational or sensor readout capability. In this paper, we present design details of a programmable passive SoC in compliance with ISO 15693/NFC5 standard for biomedical applications. The integrated system consists of a 32-bit microcontroller, a sensor readout circuit, a 12-bit SAR type ADC, 16 kB RAM, 16 kB ROM and other digital peripherals. The design is implemented in a 0.18 µm CMOS technology and used a die area of 1.52 mm × 3.24 mm. The simulated maximum power consumption of the analog block is 592 µW. The number of external components required by the SoC is limited to an external memory device, sensors, antenna and some passive components. The external memory device contains the application specific firmware. Based on the application, the firmware can be modified accordingly. The SoC design is suitable for medical implants to measure physiological parameters like temperature, pressure or ECG. As an application example, the authors have proposed a bioimplant to measure arterial blood pressure for patients suffering from Peripheral Artery Disease (PAD).

show abstract

“…For ADCs similar approaches have been proposed, e.g. [8,9], to cut energy dissipation during the times of low activity. Such opportunities exist with biomedical signals such as EEG and ECG when measuring temperature and pressure.…”

Section: Introductionmentioning

confidence: 99%

“…Such opportunities exist with biomedical signals such as EEG and ECG when measuring temperature and pressure. Even image capture by digital camera could be considered to belong to this category [8].…”

Section: Introductionmentioning

confidence: 99%

Arithmetic Tracking Adaptive SAR ADC for Signals With Low-Activity Periods

2020

View full text Add to dashboard Cite

This paper introduces a novel arithmetic tracking algorithm for successive approximation ADCs, and presents its analysis. The algorithm utilizes low activity signal periods to cut the ADC energy dissipation by reducing the number of required bit-cycles. The approach determines the required step size, and bypasses conversion cycles when signal activity is low, without compromising the precision or sampling rate. The required first-order predictions and boundary checkings are performed with simple digital circuits. A lowered number of cycles paired with reduced voltage variations across DAC capacitors yields power savings. The solution has been simulated in a 90 nm CMOS process using HSPICE, demonstrating a 10-bit tracking SAR ADC. The proposed ADC was examined with low activity signals such as EEG, ECG, etc. The results predict from 5.8 µW to 27.6 µW dissipation when the sampling rates range from 32 kHz to 800 kHz, respectively.

show abstract

A Power-Efficient Signal-Specific ADC for Sensor-Interface Applications

Cited by 16 publications

References 13 publications

Event-Driven ECG Sensor in Healthcare Devices for Data Transfer Optimization

Event-Driven ECG Sensor in Healthcare Devices for Data Transfer Optimization

Design of a Programmable Passive SoC for Biomedical Applications Using RFID ISO 15693/NFC5 Interface

Arithmetic Tracking Adaptive SAR ADC for Signals With Low-Activity Periods

Contact Info

Product

Resources

About