2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS)最新文献_第3页

Low Power Implementation of ECG R-wave Peak Detector in 180 nm CMOS Process 180nm CMOS工艺下心电r波峰值检测器的低功耗实现

2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS) Pub Date : 2020-11-15 DOI: 10.1109/DCAS51144.2020.9330635

Deepa Kota, N. Tasneem, I. Mahbub

{"title":"Low Power Implementation of ECG R-wave Peak Detector in 180 nm CMOS Process","authors":"Deepa Kota, N. Tasneem, I. Mahbub","doi":"10.1109/DCAS51144.2020.9330635","DOIUrl":"https://doi.org/10.1109/DCAS51144.2020.9330635","url":null,"abstract":"With the widespread use of sensor technology, monitoring heart conditions is feasible and widely accessible. Electrocardiogram (ECG) signals contain rich information concerning several heart diseases including sudden cardiac arrests (SCAs). Continuous monitoring of heartbeat using wearable devices can help detect heart irregularities. While current wearable devices transmit raw ECG signals for processing, this paper proposes a novel on-chip ECG feature extraction system implemented on standard 180 nm CMOS technology using the Cadence Virtuoso tool. The proposed design detects all peaks with a high degree of sensitivity compared to earlier systems. Future enhancements of the design will include the determination of the R to R interval. The total power consumption for the design is just 0.379 nW, which is much lower in comparison to other implementations. This design has been verified on ECG data acquired from live subjects in a lab environment. In addition, the design is also verified on Physionet, an archive of well-characterized ECG databases collected from healthy subjects while exercising. Two datasets are tested into this design to check for peak detection and heart rate abnormality.","PeriodicalId":428765,"journal":{"name":"2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127761675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Ternary Limited-Weight Codes and Quaternary Transition-Signaling for Low-Power Bus Encoding 低功耗总线编码的三进制有限权码和四元转换信令

2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS) Pub Date : 2020-11-15 DOI: 10.1109/DCAS51144.2020.9330656

Maryam Sadat Hosseini Omshi, R. F. Mirzaee

{"title":"Ternary Limited-Weight Codes and Quaternary Transition-Signaling for Low-Power Bus Encoding","authors":"Maryam Sadat Hosseini Omshi, R. F. Mirzaee","doi":"10.1109/DCAS51144.2020.9330656","DOIUrl":"https://doi.org/10.1109/DCAS51144.2020.9330656","url":null,"abstract":"This paper presents a new bus encoding scheme by ternary limited-weight codes (ternary LWC) and quaternary transition-signaling for low-power, high-performance data transmission. In this technique, digit ‘0’ indicates no transition, whereas ‘1’ and ‘2’ indicate two different types of transitions within a clock cycle. The number of ternary LWC code words as well as their length and weight affect the overall performance of the bus system. On the one hand, it is preferred to have fewer ‘1's and ‘2's in order to decrease the switching activity factor. On the other hand, shorter code words reduce the amount of redundancy. The mathematical analyses reveal that 64 4-digit ternary LWC code words with the maximum weight of three is the optimal solution, considering other criteria. Furthermore, our estimations show promising results, including 22.4% and 50.3% average reductions in switching activity and voltage swing, respectively. Therefore, the proposed bus encoding technique can reduce dynamic power up to 80.8%. In addition, it increases data transmission rate by the factor of 1.5.","PeriodicalId":428765,"journal":{"name":"2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133788263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Low-Power Front-End with Compressive Sensing Circuit for Neural Signal Acquisition Designed in 180 nm CMOS Process 基于180nm CMOS工艺的低功耗前端压缩感知神经信号采集电路设计

2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS) Pub Date : 2020-11-15 DOI: 10.1109/DCAS51144.2020.9330674

Karthik Kakaraparty, N. Tasneem, I. Mahbub

{"title":"A Low-Power Front-End with Compressive Sensing Circuit for Neural Signal Acquisition Designed in 180 nm CMOS Process","authors":"Karthik Kakaraparty, N. Tasneem, I. Mahbub","doi":"10.1109/DCAS51144.2020.9330674","DOIUrl":"https://doi.org/10.1109/DCAS51144.2020.9330674","url":null,"abstract":"Multi-channel data acquisition of bio-signals is a promising technology that is being used in many fields these days. Compressed sensing (CS) is an innovative approach of signal processing that facilitates sub-Nyquist processing of bio-signals, such as an electrocardiogram (ECG) and electroencephalogram (EEG). This strategy can be used to lower the data rate to realize ultra-low-power performance, As the count of recording channels increase, data volume is increased resulting in impermissible transmitting power. This paper presents the implementation of a CMOS-based front-end design with the CS in the standard 180 nm CMOS process. A novel pseudo-random sequence generator is proposed, which consists of two different types of D flip-flops that are used for obtaining a completely random sequence. The power consumed by the bio-signal amplifier block is 2.35 μW. The SAR-ADC block that is designed to digitize the amplified signal consumes 277 μW of power and the power consumption value of the pseudo-random bit sequence generator (PRBS) is 344.2μW. The sampling rate of PRBS block is 611.76 Kbps. We have considered collecting neural data from the 32 channels, and achieved an 8.5X compression rate. The low power consumption per channel confirms the importance of the proposed approach for multiple channel high-density neural interfaces.","PeriodicalId":428765,"journal":{"name":"2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128211305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study the Effects of Misalignments in the Printed Spiral Inductive Coils for Passive Wearable Sensors 研究无源可穿戴式传感器印刷螺旋电感线圈错位的影响

2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS) Pub Date : 2020-11-15 DOI: 10.1109/DCAS51144.2020.9330661

B. Noroozi, B. Morshed

{"title":"Study the Effects of Misalignments in the Printed Spiral Inductive Coils for Passive Wearable Sensors","authors":"B. Noroozi, B. Morshed","doi":"10.1109/DCAS51144.2020.9330661","DOIUrl":"https://doi.org/10.1109/DCAS51144.2020.9330661","url":null,"abstract":"Inductive coupling between two coils is becoming an important technique for wireless power and data transfer in near-field for a variety of applications such as wireless charging and passive (zero-power) sensors. We have previously employed a pair of printed spiral coils (PSC) to collect the physiological signals via our novel Wireless Resistive Analog Passive (WRAP) skin attachable sensors. The pair of PSCs and the circuit components have been optimized to maximize the probed biosignals where the mutual inductance (or coupling factor) was kept constant. However, the coils' relative positions in the wearables can vary in real-life scenarios, which makes the mutual inductance to change, compromising optimal results. To design a system with maximum robustness against these PSC alignment variations, the effects of primary coil size on the coupling factor variability to axial and lateral displacements are studied. We limited the maximum self-inductance to 5 µH and 7 µH for primary and secondary coils, respectively that ensures the results are not affected by the coils' self-inductance variation. Our simulation shows that larger primary coils create magnetic fields with reduced sensitivity to the coupling factor for lateral and axial displacements. The resultant coupling factor behavior indicates robust coil designs for applications where the axial and lateral displacements can occur in real-life.","PeriodicalId":428765,"journal":{"name":"2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115889903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advanced Non-linear Control Technique for Current-Fed Full-Bridge DC-DC Converter 馈流全桥DC-DC变换器的先进非线性控制技术

2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS) Pub Date : 2020-11-15 DOI: 10.1109/DCAS51144.2020.9330650

Sameer Arora, P. Balsara, D. Bhatia

引用次数: 0

Word Recognition Clinical Testing of Personalized Deep Reinforcement Learning Compression 个性化深度强化学习压缩的单词识别临床试验

2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS) Pub Date : 2020-11-15 DOI: 10.1109/DCAS51144.2020.9330640

Sara Akbarzadeh, N. Alamdari, Christina Campbell, E. Lobarinas, N. Kehtarnavaz

引用次数: 0

Linearity Enhancement Using a Common-Drain Topology for Envelope Tracking CMOS Power Amplifiers 利用共漏拓扑增强包络跟踪CMOS功率放大器的线性度

2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS) Pub Date : 2020-11-15 DOI: 10.1109/DCAS51144.2020.9330649

Sumit Bhardwaj, S. Moallemi, J. Kitchen

引用次数: 1

ACPA: Exploiting Approximate Computing for High-Level Imprecision Optimization of Fixed-point LTI systems 利用近似计算实现定点LTI系统的高级不精确优化

2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS) Pub Date : 2020-11-15 DOI: 10.1109/DCAS51144.2020.9330657

Mahdieh Grailoo, B. Alizadeh, T. Nikoubin

引用次数: 0

Design of a Dynamic Parameter-Controlled Chaotic-PRNG in a 65 nm CMOS process 65纳米CMOS工艺中动态参数控制的混沌prng设计

2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS) Pub Date : 2020-11-15 DOI: 10.1109/DCAS51144.2020.9330647

P. Paul, Maisha Sadia, Md. Sakib Hasan

引用次数: 6

A Broadband Class AB Power Amplifier with Second Harmonic Injection 带二次谐波注入的宽带AB类功率放大器

2020 IEEE 14th Dallas Circuits and Systems Conference (DCAS) Pub Date : 2020-11-15 DOI: 10.1109/dcas51144.2020.9330364

Pouria Pazhouhesh, J. Kitchen

引用次数: 1