60GHz Radar Vital Signs System

@LiveExperts

Hello, As an established team of professionals with a strong background in engineering and software development, we are the perfect fit for your 60 GHz Radar Vital Signs System project. I am a skilled engineer proficient in multiple languages like C, Python, and Node.js which aligns nicely with your flexible language needs. Our extensive experience in signal processing is paramount here as it will allow us to extract heart rate, respiratory rate, and motion data accurately while ensuring medical-grade quality and repeatability which is vital for your enterprise platform. Furthermore, our expertise with Seeed Studio's gear and SDR will certainly come in handy during the hardware identification and specification phase. We've consistently been able to push these products beyond their demo mode to deliver optimal results. Offering clean commented codebase is our standard practice and we intend to provide you with an integration guide specifically targeted towards your Linux ARM64 platform. Lastly, but importantly, we're familiar with Docker and deploying solutions to edge gateways which will seamlessly integrate into your existing infrastructure. Our ultimate goal is to meet and exceed your acceptance criteria by delivering continuous rates with utmost accuracy, near-real time motion detection latency, all neatly packaged so that you can easily deploy it via Docker & our long-lasting support for the platform." Hoping to contribute my w Thanks!

@AwaisChaudhry

Hello, I will transform your Seeed 60 GHz radar into a robust vital-signs system that delivers continuous heart rate, respiratory rate, and motion data with medical‑grade repeatability, ready to slot into your enterprise platform. I will specify and source the remaining hardware (waveguide antennas, shielding, clean power, and matching components) to tighten SNR for indoor use; develop firmware and host software to capture radar IQ, run real‑time DSP, and expose a REST‑ or MQTT‑friendly API; provide clear calibration procedures and a repeatable test routine to validate accuracy against reference devices; and package everything for Docker and Linux ARM64 edge deployment with a concise integration guide. The result will meet your acceptance criteria: HR ±3 bpm, RR ±2 rpm at 1 m in quiet room, motion latency under 200 ms, with clean, well‑commented code. I’ll outline milestones and deliverables in a simple plan so you can drop this into your gateway with minimal friction. What is your target SNR and how can we measure it in your environment? What shielded enclosure dimensions and the max front‑end size are acceptable for indoor use? Do you prefer the API to be REST, MQTT, or both, and should real‑time IQ streams be exposed alongside processed HR/RR/Motion? What calibration references and test protocol should I align with to validate accuracy against reference devices? Could you share your target Linux ARM64 distro and Docker edge gateway specs to ensure packaging compat

@Mahihassi

As an Electrical Engineer with a specialization in embedded systems, firmware development, and PCB design, I believe I have the essential skills to bring your 60GHz Radar Vital Signs System to its full potential. I have extensive experience working with STM32, ESP32, Microchip PIC32 and dsPIC microcontrollers - including Texas Instruments products like Tiva and C2000 - all crucial for your project. Furthermore, my deep RF knowledge complements my understanding of IoT concepts and medical grade repeatability. My core expertise includes laying out professional PCB designs, fostering high-speed boards and utilizing intelligent connectivity which will prove invaluable for your hardware-related needs. Additionally, I am proficient in numerous programming languages such as Python, C++ and Node.js — key elements in completing the firmware and software tasks for your project. My aim is not only to develop clean and commented codebase but also supply you with a convenient guide that allows you to easily integrate the system within your Linux ARM64 environment.

@markoa7

With my comprehensive knowledge and experience in electronics, including PCB design and firmware development, I am a perfect match for your project needs. I'm confident that I can refine the firmware and software to pull clean heart rate, respiratory rate, and motion data from Seeed Studio's 60 GHz mmWave radar with medical-grade precision. Over the years, I have extensively worked on numerous projects involving RF circuit design, antenna optimization, and simulation for various applications including WiFi and Bluetooth - skills which will be invaluable in identifying any remaining hardware needs such as waveguide antennas and power supplies for your indoor setting. In addition to this technical expertise, I offer you a consistent history of timely project delivery without sacrificing quality. As evidenced by my proficiency with different programming languages like C++, Python, or Node.js, I'm highly adaptable to your stack preferences—your chosen REST- or MQTT-friendly API being an added plus. Moreover, calibrating with reference devices' would ensure the accuracy you need while the outlined packaging approach would keep the deployment lean yet functional. In summary, given my relevant skills and experience augmenting Seeed Studio gear beyond demo mode during my career journey thus far will be a great asset for the success of your vital signs monitor. Can't wait to discuss more about how we can make this happen. How about we setup a quick call?

@hireageek

Hi there, I see that you're tackling an exciting challenge with the 60GHz mmWave radar for vital signs monitoring. As a top freelancer from California with extensive experience in signal processing and embedded systems, I'm confident in my ability to help you refine your project. I’ve previously worked with mmWave technology and have successfully navigated similar issues surrounding signal stability and hardware integration. My plan would involve specifying the right waveguide antennas and building out the firmware needed to extract and process the radar data efficiently. With my strong background in software — particularly with APIs in Python and C++ — I can ensure that the metrics you require will be both accurate and seamlessly integrated into your existing platform. I understand you need calibration procedures for accuracy validation, and I’m ready to develop comprehensive test routines. Let’s expedite this project and ensure it meets your acceptance criteria. I’d love to hear more about your timeline and any specific components you have in mind. What specific performance metrics do you have in mind for the waveguide antennas?

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in C Programming, Python, Electronics, Microcontroller, Electrical Engineering, Software Development, Embedded Systems, Signal Processing and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@sasaprogramer21

Hi, I have delivered mmWave vital sign systems that move beyond demo scripts into repeatable metrics and deployable edge services. In a recent indoor monitor, I improved SNR with antenna selection and shielding, then built a Linux pipeline that streams IQ, performs phase unwrapping and clutter removal, and outputs heart rate, respiratory rate, and motion. For your Seeed 60 GHz board, I will spec the missing hardware including waveguide or planar antennas, mounting, shielding, and power supply choices to tighten stability. I will implement firmware and host software to pull IQ reliably, run motion detection under 200 ms, and publish metrics via REST and MQTT with Docker packaging for Linux ARM64. I will provide calibration steps, a test routine at 1 m against reference devices, and an integration guide with clean commented code. I am eager to work with you as a client friend and deliver results with confidence and professionalism. Thanks.

@Ahmedh058

Hi there, I’m Ahmed from Eastvale, California — a Senior Full-Stack Engineer with over 15 years of experience building high-quality web and mobile applications. After reviewing your job posting, I’m confident that my background and skill set make me an excellent fit for your project — 60GHz Radar Vital Signs System . I’ve successfully completed similar projects in the past, so you can expect reliable communication, clean and scalable code, and results delivered on time. I’m ready to get started right away and would love the opportunity to bring your vision to life. Looking forward to working with you. Best regards, Ahmed Hassan

@trm66614

Hi there,Good morning I am Talha. I have read you project details i saw you need help with Electronics, Signal Processing, Python, Embedded Systems, Electrical Engineering, Microcontroller, Software Development and C Programming I am pleased to present my proposal, highlighting our extensive experience and proven track record in delivering exceptional results. Our portfolio of success will showcase past projects that demonstrate our ability to meet and exceed client expectations. Glowing testimonials from satisfied clients will attest to our professionalism, dedication, and the quality of our work Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Thanks Regards. Talha Ramzan

@redbrickamerica

Hello! We are a team of skilled Electrical Engineers equipped to enhance your 60GHz Vital Signs System. With expertise in mmWave radar and signal processing, we will optimize hardware selection, design custom antennas, and elevate signal stability. Our software solutions in Python, C++, or Node.js will deliver real-time data processing for accurate heart rate, breath rate, and motion metrics. Calibration procedures and a Docker-ready package ensure seamless deployment. Let's achieve precise vital signs monitoring for your enterprise platform. How can we assist further with your project?

@dfordesigners

Hi Scott M. I’m your web developer, ready to turn your project 60GHz Radar Vital Signs System into reality! I’d love to discuss the details and create something amazing together. Feel free to message me anytime, and we can also hop on a quick video or audio call whenever it's convenient for you. I’ve developed many projects exactly like what you’re looking for. If you want to see more relevant samples, just contact me through the chatbox, and I’ll share them instantly. ★ Why Clients Trust Me 500+ successful web projects delivered 430+ positive client reviews Expert in C Programming, Python, Electronics, Microcontroller, Electrical Engineering, Software Development, Embedded Systems, Signal Processing WordPress, Shopify, PHP, JavaScript, HTML, CSS, Plugin/Theme Development, Laravel, WebApp Clean, modern, responsive and SEO-optimized designs Fast delivery, great communication, and long-term support Available during EST hours for smooth collaboration If you want a professional developer who delivers quality work on time and stress-free, let’s connect. I’m excited to help build something amazing for you. Best regards, Kausar Parveen

@yuliussmayoru

Hi, there. You’re running into the classic mmWave wall right now: raw IQ is there, but without RF front-end tuning, phase stability, and the right DSP, heart and breath rates will always look noisy and fragile. The good news is this is solvable with tighter antenna choices, basic RF hygiene, and a signal chain designed specifically for micro-motion extraction—not demo scripts. I’ve taken mmWave radar systems past “it works on the bench” into repeatable, production-grade sensing before. I can help you spec the remaining hardware (appropriate 60 GHz antennas, power isolation, shielding, and layout guidance) to materially improve SNR at 1 m indoors. On the software side, I’ll build a clean pipeline that pulls IQ, stabilizes phase, separates respiration vs cardiac components, and outputs metrics via a simple REST or MQTT API. Everything will be containerized for ARM64 and drop cleanly onto an edge gateway. I’ll also give you a practical calibration + validation routine so you can benchmark against reference devices and trust the numbers, not just eyeball plots. If you want someone who’s comfortable crossing RF, DSP, and real-world deployment (not just academic signal processing), I’m a strong fit for this.

@jovani81

Hi, I’m an embedded systems developer with hands-on experience tuning mmWave radar pipelines from demo to production. I’ve worked with 60–77 GHz FMCW sensors extracting HR/RR via IQ processing, where the main challenge was SNR and motion artifacts; I solved it using antenna selection, shielding, adaptive filtering, and phase-based respiration algorithms. I can spec the RF front-end, refine firmware and signal processing, expose REST/MQTT APIs, and package everything Docker-ready for ARM64 deployment. Thanks

@mobiwebsolutions

Hi There!!! The Goal of the project:- to develop a 60GHz radar-based vital signs system that accurately extracts heart rate, respiratory rate, and motion metrics with medical-grade repeatability and integrates seamlessly into your existing enterprise platform. I have carefully read and understood your project description and can specify the remaining radar hardware, refine firmware and host software for real-time signal processing, and provide calibration procedures with repeatable test routines. I am the best fit for this project because of my experience building embedded systems with mmWave and sensor signal processing for medical and industrial applications. Three points that directly match your requirements are: radar front-end optimization including antennas and SNR improvement, real-time heart and respiratory rate extraction via Python/C++ software, and REST/MQTT-friendly API integration. I will provide testing, database management for metrics logging, clean code delivery, and full source code packaged for Docker deployment. I have 9+ years experience as a full stack developer and have completed similar projects involving mmWave radar signal processing and embedded system integration. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@justinw45

Hello Client, thanks for considering my proposal. I understand the importance of developing a vital-signs monitor using Seeed Studio's 60 GHz mmWave radar technology to extract heart rate, respiratory rate, and motion data with medical-grade repeatability. My approach involves identifying and specifying the necessary hardware, refining firmware and software for real-time signal processing, and providing calibration procedures for accuracy validation. With expertise in Python, C++, and Node.js, I am well-equipped to deliver the project requirements. Having worked on similar projects in the past, I am confident in my ability to optimize signal stability and range while ensuring seamless integration with your enterprise platform. Effective communication and collaboration are key aspects of my work ethic, and I am committed to providing clear updates and progress reports throughout the project. Best regards, Justin

@milosk4

Project Title: 60GHz Radar Vital Signs System Your project description resonated deeply with me. Drawing on over 10 years of experience in electrical engineering and a specialization in embedded systems, I am uniquely equipped to elevate your vital signs monitor to its full potential. Having worked on numerous challenging projects, including medical devices, I have both the hardware and software expertise needed for this task. To meet your specific needs, I will apply my hardware knowledge to identify and spec the remaining components required for your system such as waveguide antennas and shielding. Furthermore, I assure you of a robust firmware and host-side software solution that efficiently handles radar IQ data processing in real-time while delivering clear heart-rate, breath-rate and motion metrics through REST or MQTT API. Join reputable companies like Msolution (Israel), OperateMyBuilding (USA), YFLab (Slovenia)—all of whom have benefited from my expertise—by choosing me to propel your vision forward. Let's fine-tune the mmWave front-ends together and make your Seeed Studio gear surpass even its demo mode capabilities. Start this journey with confidence as you integrate medical-grade repeatability under my watchful eye.

@electronicsdone

Best 60GHz Radar Vital Signs System Engineer ⭐⭐⭐⭐⭐ Hi Scott, Thanks for sharing the scope clearly. I’ve worked on mmWave radar and vital-signs sensing projects where accurate signal extraction, RF optimization, and reliable data processing were critical. Your project is very doable. The goal is simple: deliver a fully functional 60 GHz radar system that provides repeatable heart rate, respiratory rate, and motion data ready to integrate with your enterprise platform. ✅ How I’ll Help You Succeed 1. Review your current setup and specify antennas, power, shielding, and front-end improvements to optimize SNR for indoor use. 2. Provide calibration procedures, repeatable test routines, and Docker-ready packaging for your edge deployment. ✅ I’ve delivered radar and RF data-processing projects where careful front-end design, signal processing, and clean software ensured accurate and deployable measurements. ✅ Before I start, one quick thing: please share your current radar board, any demo scripts, and preferred software stack so I can plan the improvements. If you share that, feel free to message me, and we can align quickly. Best, Prat PCB Must Innovations

@jackson325

Hello, I understand that you're building a vital-signs monitor using Seeed Studio’s 60 GHz mmWave radar and need expert assistance to enhance RF capabilities and software development. I'm excited about the potential to help you achieve medical-grade accuracy with heart rate, respiratory rate, and motion detection. With extensive experience in developing signal processing solutions for mmWave technology, I have successfully handled projects similar to yours. At my previous endeavor, I improved signal stability in challenging environments and delivered robust firmware for real-time processing. ✅My Plan: - Identify and spec waveguide antennas and necessary hardware to enhance SNR. - Develop and refine firmware and host-side software using Python or C++, optimized for your API requirements. - Create calibration procedures and a test routine for validating accuracy with reference devices. - Package the solution into Docker for easy deployment on your edge gateway. What are your expectations regarding the timeline for hardware sourcing and do you have specific reference devices for calibration? Best regards, Hongqiang Chen

@enocki8

Hi there, I’m an embedded systems and signal-processing engineer with hands-on experience pushing mmWave radar platforms beyond demo scripts into stable, production-ready sensing systems. Your goal of extracting repeatable heart-rate, respiratory-rate, and motion metrics from Seeed Studio’s 60 GHz radar aligns closely with work I’ve done on RF front-ends, DSP pipelines, and edge deployments. On hardware, I can evaluate your current setup and specify suitable waveguide or patch antennas, power conditioning, shielding, and enclosure considerations to maximize SNR for indoor vital-sign monitoring. I’m comfortable selecting off-the-shelf components or defining custom antenna requirements when needed. On software, I’ll refine firmware and host-side code to stream raw IQ data, apply filtering, phase-based vital-sign extraction, motion isolation, and confidence scoring in real time. I work fluently in C, C++, and Python and can expose results via clean REST or MQTT interfaces designed for enterprise integration. I’ll also deliver calibration procedures and a repeatable validation protocol using reference devices, ensuring accuracy targets are met. Everything will be containerized for Docker and documented for Linux ARM64 edge gateways. Reliability and clarity matter. If you want medical-grade repeatability from mmWave hardware, I’m ready to help you get there. best regards Enock isaboke