Part Details for MAX326 by Maxim Integrated Products

MAXREFDES168# is a software reference design that demonstrates authentication of the DS28E38 DeepCover® secure ECDSA authenticator with ChipDNA™ PUF protection in an embedded Arm®-based environment. The design includes example code for ECDSA authentication of the DS28E38 with the DS2476 secure coprocessor and an Eclipse™ project that utilizes the GCC compiler and OpenOCD on-chip debugger for a fully free and open-source toolchain.<p>The included project is configured for immediate use on the MAX32625MBED evaluation board, and Arm® Mbed Enabled™ devices are also supported through an alternate hardware interface. Porting the design to other processors requires only I2C master and timekeeping delay implementations.<p>The DS2476 coprocessor is used to securely perform ECDSA calculations and store keys. Using the DS2476 with processors that do not provide robust hardware security is highly recommended.<p>A driver for the DS2484 I2C to 1-Wire® bridge is also included to enable communication with the DS28E38 by processors that lack an integrated 1-Wire line driver.<p>All source code, including the authentication example and drivers for the DS28E38, DS2476, and DS2484, conforms to the ISO C++98 standard for maximum portability between compilers.<p>Application Benefits<p>Designed for Arm processors in bare-metal or OS environments.<p>Includes project for Eclipse, GCC, and OpenOCD toolchain.<p>Out-of-the-box support for the MAX32625MBED evaluation board.<p>Supports Arm Mbed Enabled devices.<p>Modular design enables rapid porting and integration.<p>ISO C++98-compatible source code for best compiler portability.<p>Key Features<p>ECDSA P256 public-key authentication protected by ChipDNA technology.<p>DS28E38 operates with a single-contact 1-Wire interface, requires no device-level firmware development, and simplifies key management.<p>Intellectual property and products are protected by a solution immune to invasive/physical attacks.

The MAXREFDES103# is a wrist-worn wearable form factor that demonstrates the high sensitivity and algorithm processing functions for health-sensing applications. This health sensor band platform includes an enclosure and a biometric sensor hub with an embedded algorithm for heart rate and SpO2 (MAX32664C) which processes PPG signals from the analog-front-end (AFE) sensor (MAX86141). Algorithm output and raw data can be streamed through Bluetooth® to an Android® app or PC GUI for demonstration, evaluation, and customized development.<p>Design files, firmware, and software can be found on the Design Resources tab. The board is also available for purchase.<p>Features<p>Photoplethysmography (PPG)<p>Wrist-based embedded heart rate, blood oxygen saturation (SpO2) algorithm<p>Heart rate variability (HRV), respiration rate, sleep quality library algorithm<p>Wearable health band form factor<p>MAX32664 sensor hub<p>MAX86141 PPG analog front-end<p>3-axis accelerometer<p>Windows® and Android GUIs<p>Applications<p>Wearable sports watch<p>Healthcare tracker<p>Heart signal data tracker

Features<p>MAX2871 Fractional/Integer-N Synthesizer/VCO<p>+3.3V and +5V compatible logic<p>SMA output connectors<p>On-board 50.0MHz crystal oscillator<p>Mbed® library<p>Arduino shield form factor

The GPS reference design is an evaluation kit designed to demonstrate the essential features of an ultra-low power GPS (global positioning system) receiver, as well as serving as a reference design to illustrate how to implement such a receiver rapidly. The reference design uses the MAX2769C L1-band GNSS RF front end IC (RFIC) from Maxim Integrated, and the ultra-low power GPS baseband processing firmware provided by Baseband Technologies Inc. (BTI) that runs on a MAX32632 microcontroller unit (MCU).<p>Request the MAXREFDESGPS_B Reference Design Board ›

Features<p>High precision<p>Integrated AFE<p>Low power consumption<p>Compact and low cost<p>Competitive Advantages<p>Single-chip AC impedance measurement<p>Wireless communication with mobile device<p>Portable, compact, and cost effective

The MAXREFDES101# is a unique evaluation and development platform in a wrist-worn wearable form factor that demonstrates the functions of a wide range of Maxim’s products for health-sensing applications. This second-generation health sensor platform (a follow-on to the MAXREFDES100#) integrates a PPG analog-front-end (AFE) sensor (MAX86141), a biopotential AFE (MAX30001), a human body temperature sensor (MAX30205), a microcontroller (MAX32630), a power-management IC (MAX20303), and a 6-axis accelerometer/gyroscope. The complete platform includes a watch enclosure and a biometric sensor hub with an embedded heart-rate algorithm (MAX32664). Algorithm output and raw data can be streamed through Bluetooth® to an Android® app or PC GUI for demonstration, evaluation, and customized development.<p>Design files, firmware, and software can be found under the Design Resources tab. The board is also available for purchase.<p>Features<p>Photoplethysmography (PPG)<p>Biopotential measurement (ECG)<p>Skin temperature<p>Embedded heart-rate algorithm<p>Motion and rotation<p>Wearable watch form factor<p>Applications<p>Wearable sports watch<p>Healthcare tracker<p>On-demand ECG monitor<p>Heart signal data tracker<p>Health Sensor Platform portal is available with FAQ support ›<p>var videoItem5837098991001 = { id:'5837098991001', title:'Introducing the Health Sensor Platform 2.0 (MAXREFDES101)', duration:'2:45', contributor:'', desc:'<p>Meet the Health Sensor Platform 2.0, a rapid prototyping, evaluation, and development solution for wearable applications that saves up to six months of product development time. The open platform makes it possible to monitor electrocardiogram (ECG), heart rate, and body temperature using a wrist-worn wearable device.<\\/p>\\n\\n<a href=\\"\\/products\\/MAXREFDES101\\">Learn more: MAXREFDES101 \\u203A<\\/a>', thumbnail:'/content/dam/images/design/videos/vid-introducing-the-health-sensor-platform-2.0-maxrefdes101.png', date:1537462920000, tags:'maxim_web:en\\/design\\/videos, maxim_web:languages\\/english, maxim_web:en\\/markets\\/healthcare\\/wearable-health, maxim_web:en\\/products\\/sensors\\/biopotential-sensors, maxim_web:en\\/design\\/technical-training', keywords:'health sensor platform, hSensor platform, heart rate, optical heart rate sensor, human body temperature, biopotential measurement, ECG, fitness devices, clinical devices, wearable devices', datasheet:'', }; $(document).ready( function() { $("#video-thumb5837098991001").load(function() { if(navigator.userAgent.match('CriOS') || (navigator.userAgent.match('Android') && navigator.userAgent.match('Chrome'))) $("#play-icon5837098991001").hide(); else { var iconWidth=$("#video-thumb5837098991001").width()*120/333; $("#play-icon5837098991001").css("top", ($("#video-thumb5837098991001").height()-iconWidth)/2+"px").css("left",($("#video-thumb5837098991001").width()-iconWidth*4/5)/2+"px"); $("#play-icon5837098991001").css("width",iconWidth+"px").css("height",iconWidth+"px"); $("#play-icon5837098991001").show(); } }).each(function() { if(this.complete) $(this).load(); }); $(window).bind("resize",function(){ if(navigator.userAgent.match('CriOS') || (navigator.userAgent.match('Android') && navigator.userAgent.match('Chrome'))) $("#play-icon5837098991001").hide(); else { var iconWidth=$("#video-thumb5837098991001").width()*120/333; $("#play-icon5837098991001").css("top", ($("#video-thumb5837098991001").height()-iconWidth)/2+"px").css("left",($("#video-thumb5837098991001").width()-iconWidth*4/5)/2+"px"); $("#play-icon5837098991001").css("width",iconWidth+"px").css("height",iconWidth+"px"); $("#play-icon5837098991001").show(); } }); setTimeout(function (){ var mdIns = document.URL.indexOf("/vd_"); if(mdIns>0) { var mdStr = document.URL.substring(mdIns+4); if(mdStr.indexOf("/")>0) { mdStr = mdStr.substring(0, mdStr.indexOf("/")); } if(mdStr.indexOf("#")>0) { mdStr = mdStr.substring(0, mdStr.indexOf("#")); } if(videoItem5837098991001.id==mdStr) { $('#tab0 .accordion-header').collapse("show"); $('#tab0 .panel-collapse').collapse("show"); var lang = getUrlLanguage(); popupvideo(videoItem5837098991001, lang); } } }, 200); } ); #play-icon5837098991001{ width:60px; height:60px; margin:0 !important; position: absolute; z-index: 2; top: 50px; left: 100px; }<p>Introducing the Health Sensor Platform 2.0 (MAXREFDES101)<p>2:45 September 20, 2018<p>var videoItem6057983398001 = { id:'6057983398001', title:'How to Update the Firmware on the MAXREFDES101 Health Sensor Platform 2.0', duration:'1:57', contributor:'5344', desc:'Sankalp explains how to easily update the firmware on the MAXREFDES101 Health Sensor Platform 2.0 to quickly start programming the onboard electrocardiogram (ECG), photoplethysmography (PPG), and human body temperature sensors.<br><br><a href=\\"\\/products\\/MAXREFDES101\\">Learn more: MAXREFDES101 \\u203A<\\/a>', thumbnail:'/content/dam/images/design/videos/how-to-update-the-firmware-on-the-maxrefdes101-health-sensor-platform.png', date:1565635560000, tags:'maxim_web:en\\/design\\/videos, maxim_web:languages\\/english, maxim_web:en\\/markets\\/healthcare\\/wearable-health, maxim_web:en\\/products\\/sensors\\/biopotential-sensors', keywords:'MAXREFDES101, ECG sensor, PPG sensor, body temperature sensor, health sensor platform', datasheet:'', }; $(document).ready( function() { $("#video-thumb6057983398001").load(function() { if(navigator.userAgent.match('CriOS') || (navigator.userAgent.match('Android') && navigator.userAgent.match('Chrome'))) $("#play-icon6057983398001").hide(); else { var iconWidth=$("#video-thumb6057983398001").width()*120/333; $("#play-icon6057983398001").css("top", ($("#video-thumb6057983398001").height()-iconWidth)/2+"px").css("left",($("#video-thumb6057983398001").width()-iconWidth*4/5)/2+"px"); $("#play-icon6057983398001").css("width",iconWidth+"px").css("height",iconWidth+"px"); $("#play-icon6057983398001").show(); } }).each(function() { if(this.complete) $(this).load(); }); $(window).bind("resize",function(){ if(navigator.userAgent.match('CriOS') || (navigator.userAgent.match('Android') && navigator.userAgent.match('Chrome'))) $("#play-icon6057983398001").hide(); else { var iconWidth=$("#video-thumb6057983398001").width()*120/333; $("#play-icon6057983398001").css("top", ($("#video-thumb6057983398001").height()-iconWidth)/2+"px").css("left",($("#video-thumb6057983398001").width()-iconWidth*4/5)/2+"px"); $("#play-icon6057983398001").css("width",iconWidth+"px").css("height",iconWidth+"px"); $("#play-icon6057983398001").show(); } }); setTimeout(function (){ var mdIns = document.URL.indexOf("/vd_"); if(mdIns>0) { var mdStr = document.URL.substring(mdIns+4); if(mdStr.indexOf("/")>0) { mdStr = mdStr.substring(0, mdStr.indexOf("/")); } if(mdStr.indexOf("#")>0) { mdStr = mdStr.substring(0, mdStr.indexOf("#")); } if(videoItem6057983398001.id==mdStr) { $('#tab0 .accordion-header').collapse("show"); $('#tab0 .panel-collapse').collapse("show"); var lang = getUrlLanguage(); popupvideo(videoItem6057983398001, lang); } } }, 200); } ); #play-icon6057983398001{ width:60px; height:60px; margin:0 !important; position: absolute; z-index: 2; top: 50px; left: 100px; }<p>How to Update the Firmware on the MAXREFDES101 Health Sensor Platform 2.0<p>1:57 August 12, 2019

The MAXREFDES155# is an internet-of-things (IoT) embedded-security reference design, built to authenticate and control a sensing node using elliptic-curve-based public-key cryptography with control and notification from a web server.<p>The hardware includes an ARM® mbed™ shield and attached sensor endpoint. The shield contains a DS2476 DeepCover® ECDSA/SHA-2 coprocessor, Wifi communication, LCD push-button controls, and status LEDs. The sensor endpoint is attached to the shield using a 300mm cable and contains a DS28C36 DeepCover ECDSA/SHA-2 authenticator, IR-thermal sensor, and aiming laser for the IR sensor. The MAXREFDES155# is equipped with a standard Arduino® form-factor shield connector for immediate testing using an mbed board such as the MAX32600MBED#. The combination of these two devices represent an IoT device. Communication to the web server is accomplished with the shield Wifi circuitry. Communication from the shield to the attached sensor module is accomplished over I2C. The sensor module represents an IoT endpoint that generates small data with a requirement for message authenticity/integrity and secure on/off operational control.

Features<p>Skin temperature<p>Heart rate<p>Biopotential measurement (ECG)<p>Motion<p>Rotation<p>Barometric pressure

Features<p>8 Channels Isolated Digital Input<p>4 Channels Isolated 1.2A Digital Output with Safe/Fast Demag<p>4-Port IO-Link® Master version 1.1 compliant with TMG IO-Link Master Stack<p>1 Isolated Power and RS-485 COM port, full duplex to 25Mbps data rate

The MAXREFDES1213 is a reference design showcasing the MAX32630FTHR and MAX11311, as well as several other Maxim products, that demonstrates a small size, low-cost, portable electronic load (E-load) for testing power converters and PMICs. The MAX32630FTHR is an Arm®-core-based, low-power microcontroller board whose main purpose is to facilitate communication between the PC’s graphical user interface (GUI) software and the E-load. The MAX11311 12-port programmable mixed-signal I/O (PIXI™) with 12-bit ADC, 12-bit DAC, analog switches, and GPIO is used to control the load currents and measure various parameters of the E-load.<p>Other Maxim components in this design include the MAX44251 20V, ultra-precision, low-noise op amp, which is used to control the load currents; the MAX8614 dual-output (+ and -) DC-DC converter for biasing the MAX11311; the MAX8881 12V, ultra-low-IQ, low-dropout linear regulator with power-OK (POK), which is used to power different components on the E-load board; and the MAX44243 36V, low-noise, precision quad op amp, which is used for signal conditioning.<p>The power that is dissipated in the power MOSFETs is drained using a heatsink with a cooler fan (the Thermaltake® CLP0556). The MAX6645 automatic PWM fan-speed controller with overtemperature output controls the fan speed based on the heatsink temperature.