An Arduino based Open Source Ventilator to Fight against COVID-19?

Arduino Open Source Ventilator

COVID-19 has disrupted most people lives well beyond the health crisis, with an economic fallout on-going that may lead to a 24% GDP contraction in the US and up to 12% worldwide in Q2 2020, and I assume the consequences may span over several years, so we should do everything to mitigate any effects from the disease. Right now, the urgent part is to handle the health crisis, and there’s a shortage – or soon will be – of medical supplies such as ventilators for people in critical conditions, and if hospitals become full they’ll start refusing admissions of some people even in critical conditions, as it happened in Wuhan, letting people die at home. So there are various initiatives and projects to develop open-source ventilators. First, Innovation Management reports Ennomotive has launched a non-profit online competition for the ideation of low-cost, easy-to-build solutions with the goal of speeding up the availability of ventilators in hospitals everywhere to help patients …

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AMD Ryzen Embedded based SBC-VR1000 SBC to Power Edge Computing & Graphics Applications

Kontron SBC-VR1000

We just wrote about a 3.5″ Ryzen Embedded SBC a few days ago, namely SECO SBC-C90 single board computer, after mentioning there were few such AMD options in the 3.5-inch form factor with the only other board we covered so far being IBase IB918. But there’s now at least a third option with Kontron introducing SBC-VR1000 3.5-inch board powered by AMD Ryzen Embedded V1000-series or R1000-series processor, and designed for “intensive edge computing and graphics applications” including digital signage, digital casino gaming, kiosk, retail, banking, education, medical imaging, as well as industrial control and automation. Kontron SBC-VR1000 specifications: SoC (one or the other) AMD Ryzen V1605B quad-core processor @ up to 3.60 GHz with 4M cache, AMD Radeon Vega 8 GPU; 15 W TDP AMD Ryzen V1202B dual-core processor @ up to 3.20 GHz with 4MB cache, AMD Radeon Vega 3 GPU; 15 W TDP AMD Ryzen R1606G dual-core processor @ up to 3.50 GHz with 4MB cache, AMD Radeon …

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Kontron Launches AMD Ryzen Embedded Mini-ITX Board for Graphics Applications

AMD Ryzen Embedded mini-ITX Board

We’ve seen several AMD Ryzen Embedded boards launched over the last couple of years, but the only one we covered here that happens to follow the mini-ITX form factor was iBASE MI988 motherboard powered by a choice of Ryzen Embedded V1000 processors. But there are others including Sapphire IPC-FP5V 10GbE embedded mini-ITX motherboard, and Kontron has just announced the D3713-V/R mITX motherboard with AMD Ryzen Embedded V1000/R1000 processor and aimed at “demanding graphics applications” such as kiosks, infotainment, digital signage, professional casino gaming systems, medical displays, as well as thin clients and industrial PCs. Kontron D3713-V/R mITX specifications: SoC (one or the other) AMD Ryzen Embedded V1202B dual-core/quad-thread Zen processor @ 2.3 GHz / 3.2 GHz (Boost frequency) with RADEON VEGA 3 graphics; 12W to 25W TDP AMD Ryzen Embedded V1605B quad-core/octa-thread Zen processor @ 2.0 GHz / 3.6 GHz (Boost frequency) with RADEON VEGA 8 graphics; 12W to 25W TDP AMD Ryzen Embedded V1807B quad-core/octa thread Zen processor @ …

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ODYSSEY-STM32MP157C SBC Feature STMicro STM32MP157C Cortex-A7/M4 SoC

NPi-STM32MP157C

Seeed Studio has been working on a single board computer powered by STMicro STM32MP157C Arm Cortex-A7/M4 microprocessor, comprised of the Raspberry Pi inspired NPi-STM32MP157C baseboard, and SoM-STM32MP157C system-on-module. SoM-STM32MP157C SoM Module specifications: MPU (1) – STMicro STM32MP157C dual-core Arm Cortex-A7 processor @ 650 MHz, and Arm Cortex-M4F MCU System Memory (2) – 512MB DDR3 RAM Storage (4) – 4GB eMMC flash Host Connectors – 3x 70-pin board-to-board connectors with HDMI, USB, Gigabit Ethernet, audio GPIOs, etc… Misc – Power and USER LEDs PMU (3) – STPMIC1A power management IC Dimensions – 38mm x 38mm The module is said to targets consumer and industrial applications, white goods, medical equipment, and wearable devices. NPi-STM32MP157C baseboard   Key features and specifications: SoM Support – Compatible with SOM-STM32MP157C described above Storage – MicroSD card slot Display I/F – 1x MIPI DSI interface Audio – 3.5mm audio jack, WM8960 audio codec Camera I/F – 1x DVP camera interface Networking & Wireless Connectivity 1x Gigabit Ethernet …

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HackEEG Arduino Shield Reads Signals from Your Brain (EEG), Muscles (EMG), and Heart (EKG)

Biosignals Measurements (EEG) Arduino + Raspberry Pi 4

Biosignals are signals from living beings that can be continually measured & monitored, and some common methods to measure those biosignals include electroencephalogram (EEG) to monitor the electrical activity in your brain, electromyography (EMG) for recording the electrical activity produced by skeletal muscles, and electrocardiogram (EKG or ECG) to measure electrical activity of your heartbeat. Those can be used for brain interfaces which according to a recent Ericsson’s report may become commonplace by 2030 with users just thinking about commands, prosthetic arms, health and disease monitoring, and so on. Starcat has designed the HackEEG shield to experiment with all those three methods using an Arduino board and electrodes. HackEEG features and specifications: TI ADS1299 8-Channel, 24-Bit ADC for biopotential measurements SPI EEPROM for storing configuration data 8x analog-digital conversion (ADC) channels, each with a 24x programmable-gain amplifier (PGA). Up to 4x shields can be stacked on one Arduino Due for a total of 32x EEG channels DMA drivers can read …

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Arbor M1016 10.1″ Medical-Grade Tablet Targets Infotainment & Kiosk Applications

Arbor M1016 Healthcare & Kiosk Tablet Arbor offers various products in the embedded systems field, automotive IoT and healthcare infotainment, as well as patient interfaces for hospitals. The M1016, a 10.1″ Healthcare Infotainment Terminal is a soon to be released alternative to the company’s HTab. Previous Articles for Arbor HTab healthcare bedside patient entertainment tablet and the IoT-800N Automotive Panel PC have both been reported on in previous articles about Arbor market entrants. The Basics and Kiosk Design The M1016 runs an Arm Cortex-A35 CPU @ 1.5GHz, that supports Android 8.1, and offers a variety of features for many of the different capabilities of patients under care. The design is based on a Kiosk model, with an a-la-carte menu arrangement. Access and Power Consumption The unit itself is fanless with low power requirements that lend themselves well to thin enclosure design and ease of use. The GPU is a Mali-G31 with high efficiency and the tablet supports e-health attributes for …

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NVIDIA Jetson Xavier NX SoM Delivers up to 21 TOPS for AI Workloads at the Edge

NVIDIA Jetson Xavier NX

NVIDIA has just announced Jetson Xavier NX system-on-module, with the company claiming it is the “world’s smallest, most powerful AI supercomputer for robotic and embedded computing devices at the edge” with a 70x45mm “Jetson Nano” form factor, and delivering either up to 14 TOPS at 10 Watts or 21 TOPS at 15 Watts. The company expects the module to be used in small commercial robots, drones, intelligent high-resolution sensors for factory logistics and production lines, optical inspection, network video recorders, portable medical devices, and other industrial IoT systems. Jetson Xavier NX specifications: SoC – NVIDIA Xavier with 6-core NVIDIA Carmel ARM v8.2 64-bit CPU, 6MB L2 + 4MB L3 caches, and a 384-core NVIDIA Volta GPU with 48 Tensor Cores, 2x NVDLA deep learning accelerators delivering up to 21 TOPS at 15 Watts System Memory – 8 GB 128-bit LPDDR4x @ 51.2GB/s Storage – 16 GB eMMC 5.1 flash Video Encode 2x464MP/sec 2x 4K @ 30 (HEVC) 6x 1080p @ …

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AuverCare is a Predictive AI 24/7 Monitor for Patients and Elderly

AI Patient Monitoring System

Information on the Internet for Monitoring Patients and Elderly  If you are in the healthcare field or caring for an elderly or disabled person, you know all about trying to keep them safe. The internet is crowded with camera and audio monitors, wearable fall alert alarms, and the emergency services connected panic button. All these devices have one problem, they only work after there is a problem. What is Predictive AI? There has been a great deal of chatter since the 2016 announcement of a future predicting AI platform.  The article reported on this platform was Predicting the Future – especially use cases such as falls by the elderly. With the advances in the field of AI and object recognition and behavior that is based on data gathered from a variety of sensors, it is not really a stretch to see a predictive healthcare monitor come onto the scene. Predictive Model Used in AuverCare The predictive model is now forming …

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