Investigations on electromagnetic noises and interactions in electronic architectures : a tutorial case on a mobile system

Electromagnetic interactions become critic in embedded and smart electronic structures. The increase of electronic performances confined in a finite volume or support for mobile applications defines new electromagnetic environment and compatibility configurations (EMC). With canonical demonstrators developed for tutorials and EMC experiences, this paper present basic principles and experimental techniques to investigate and control these severe interferences. Some issues are reviewed to present actual and future scientific challenges for EMC at electronic circuit level

Towards a bio-inspired mixed-signal retinal processor

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Physical Time-Varying Transfer Functions as Generic Low-Overhead Power-SCA Countermeasure

Mathematically-secure cryptographic algorithms leak significant side channel information through their power supplies when implemented on a physical platform. These side channel leakages can be exploited by an attacker to extract the secret key of an embedded device. The existing state-of-the-art countermeasures mainly focus on the power balancing, gate-level masking, or signal-to-noise (SNR) reduction using noise injection and signature attenuation, all of which suffer either from the limitations of high power/area overheads, performance degradation or are not synthesizable. In this article, we propose a generic low-overhead digital-friendly power SCA countermeasure utilizing physical Time-Varying Transfer Functions (TVTF) by randomly shuffling distributed switched capacitors to significantly obfuscate the traces in the time domain. System-level simulation results of the TVTF-AES implemented in TSMC 65nm CMOS technology show > 4000x MTD improvement over the unprotected implementation with nearly 1.25x power and 1.2x area overheads, and without any performance degradation

Study and application of direct RF power injection methodology and mitigation of electromagnetic interference in ADCs

There are many publications available in literature regarding the DPI (Direct Power Injection) technique for electronic systems, but few works specifically addressed for mixed-signal converters, which are components existent in almost all electronic devices. IEC 62132-4(International Electrotechnical Commission, 2006) and 62132-1(International Electrotechnical Commission, 2006) standards describe a method for measuring immunity of integrated circuits (IC) in the presence of conducted RF disturbances. This method ensures a high degree of repeatability and correlation of immunity measurements. Knowledge of the electromagnetic immunity of an IC allows the designer to decide if the system will need external protection, and how much effort should be directed to this solution. In this context, the purpose of this work is the study and application of the DPI methodology for injection of EMI in a mixed-signal programmable device, evaluating mitigation possibilities, with special focus on the analog-to-digital converters (ADCs). The main objective is to evaluate the impact of electromagnetic interference (EMI) on different converters (two Successive Approximation Register ADCs, operating with distinct sampling rate and a Sigma-Delta ADC) of the Cypress Semiconductor Programmable SoC (System-on-Chip), PSoC 5LP. Additionally a previously proposed fault tolerance methodology, based on triplication with hardware and time diversity is tested. Results show distinct behaviors of each converter to conducted EMI. Finally, the tested tolerance technique showed to be suitable to reduce error rate of such data acquisition system operating under EMI disturbance.Existem muitas publicações disponíveis na literatura sobre a técnica de DPI (Direct Power Injection ou injeção direta de energia) para sistemas eletrônicos, mas poucos trabalhos direcionados para conversores de sinais mistos, que são componentes existentes em quase todos os dispositivos eletrônicos. As normas IEC 62132-4 (IEC, 2006) e 62132-1 (IEC, 2006) descrevem um método para medir a imunidade de circuitos integrados (CI) na presença de distúrbios de RF conduzidos. Este método garante um alto grau de repetibilidade e correlação das medições da imunidade. O conhecimento da imunidade eletromagnética de um CI permite que o projetista decida se o sistema precisará de proteção externa e quanto esforço deve ser direcionado para esta solução. Nesse contexto, o objetivo deste trabalho é o estudo e aplicação da metodologia DPI para injeção de interferência eletromagnética em um dispositivo programável de sinal misto, avaliando as possibilidades de mitigação, com foco especial em conversores analógico-digitais (ADCs). O principal objetivo é avaliar o impacto da interferência eletromagnética em diferentes conversores (dois ADCs baseados em aproximação sucessiva, operando com taxa de amostragem distintas e um ADC do tipo Sigma-Delta) do SoC(System-on-Chip) programável da Cypress Semiconductor, PSoC 5LP. Além disso, é testada uma metodologia de tolerância a falhas proposta anteriormente, baseada em triplicação com diversidade de hardware e temporal. Os resultados mostram comportamentos distintos de cada conversor para a interferência eletromagnética conduzida. Finalmente, a técnica de tolerância testada mostrou-se adequada para reduzir a taxa de erros desse sistema de aquisição de dados operando sob perturbação eletromagnética

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

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 μ m 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 μ W. 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)

Design and implementation of a multi-modal sensor with on-chip security

With the advancement of technology, wearable devices for fitness tracking, patient monitoring, diagnosis, and disease prevention are finding ways to be woven into modern world reality. CMOS sensors are known to be compact, with low power consumption, making them an inseparable part of wireless medical applications and Internet of Things (IoT). Digital/semi-digital output, by the translation of transmitting data into the frequency domain, takes advantages of both the analog and digital world. However, one of the most critical measures of communication, security, is ignored and not considered for fabrication of an integrated chip. With the advancement of Moore\u27s law and the possibility of having a higher number of transistors and more complex circuits, the feasibility of having on-chip security measures is drawing more attention. One of the fundamental means of secure communication is real-time encryption. Encryption/ciphering occurs when we encode a signal or data, and prevents unauthorized parties from reading or understanding this information. Encryption is the process of transmitting sensitive data securely and with privacy. This measure of security is essential since in biomedical devices, the attacker/hacker can endanger users of IoT or wearable sensors (e.g. attacks at implanted biosensors can cause fatal harm to the user). This work develops 1) A low power and compact multi-modal sensor that can measure temperature and impedance with a quasi-digital output and 2) a low power on-chip signal cipher for real-time data transfer

A handheld high-sensitivity micro-NMR CMOS platform with B-field stabilization for multi-type biological/chemical assays

We report a micro-nuclear magnetic resonance (NMR) system compatible with multi-type biological/chemical lab-on-a-chip assays. Unified in a handheld scale (dimension: 14 x 6 x 11 cm³, weight: 1.4 kg), the system is capable to detect<100 pM of Enterococcus faecalis derived DNA from a 2.5 μL sample. The key components are a portable magnet (0.46 T, 1.25 kg) for nucleus magnetization, a system PCB for I/O interface, an FPGA for system control, a current driver for trimming the magnetic (B) field, and a silicon chip fabricated in 0.18 μm CMOS. The latter, integrated with a current-mode vertical Hall sensor and a low-noise readout circuit, facilitates closed-loop B-field stabilization (2 mT → 0.15 mT), which otherwise fluctuates with temperature or sample displacement. Together with a dynamic-B-field transceiver with a planar coil for micro-NMR assay and thermal control, the system demonstrates: 1) selective biological target pinpointing; 2) protein state analysis; and 3) solvent-polymer dynamics, suitable for healthcare, food and colloidal applications, respectively. Compared to a commercial NMR-assay product (Bruker mq-20), this platform greatly reduces the sample consumption (120x), hardware volume (175x), and weight (96x)

Bioelectronic Sensor Nodes for Internet of Bodies

Energy-efficient sensing with Physically-secure communication for bio-sensors on, around and within the Human Body is a major area of research today for development of low-cost healthcare, enabling continuous monitoring and/or secure, perpetual operation. These devices, when used as a network of nodes form the Internet of Bodies (IoB), which poses certain challenges including stringent resource constraints (power/area/computation/memory), simultaneous sensing and communication, and security vulnerabilities as evidenced by the DHS and FDA advisories. One other major challenge is to find an efficient on-body energy harvesting method to support the sensing, communication, and security sub-modules. Due to the limitations in the harvested amount of energy, we require reduction of energy consumed per unit information, making the use of in-sensor analytics/processing imperative. In this paper, we review the challenges and opportunities in low-power sensing, processing and communication, with possible powering modalities for future bio-sensor nodes. Specifically, we analyze, compare and contrast (a) different sensing mechanisms such as voltage/current domain vs time-domain, (b) low-power, secure communication modalities including wireless techniques and human-body communication, and (c) different powering techniques for both wearable devices and implants.Comment: 30 pages, 5 Figures. This is a pre-print version of the article which has been accepted for Publication in Volume 25 of the Annual Review of Biomedical Engineering (2023). Only Personal Use is Permitte