HRID-AI- Handheld device for Heart murmur detection, Rhythm abnormalities, Irregular heart sounds, and Decreased ejection fraction

@markoa7

Hello, I’ve reviewed HRID-AI’s goal of a low-cost handheld device to estimate ejection fraction using ECG, seismocardiography, and cardiac acoustics. I can advance the prototype through sensor integration, embedded design, and rapid prototyping to a testable clinical concept, with an emphasis on robust signal acquisition and patient safety. I’ll leverage compact microcontrollers, PCB layout best practices, and modular sensor interfaces to keep the design adaptable for future validation studies. I propose a tightly planned path: hardware-in-the-loop iterations, firmware for multichannel data capture, on-board preprocessing, and a clear path to clinical testing. What are your top priority metrics for clinical validation (sensitivity/specificity of murmur detection, EF estimation accuracy) and the timeline for regulatory testing? Best regards, Marko Aleksic

@electronicsdone

Best Medical Biosensor Hardware Design Expert ⭐⭐⭐⭐⭐ Hi, Thank you for posting your project, “HRID-AI – Handheld Device for Heart Murmur Detection and Cardiac Signal Analysis.” I’ve reviewed your requirements and can help advance your prototype toward a clinically testable, reliable embedded biosignal acquisition device. I bring 11+ years of experience in PCB design, embedded hardware development, and sensor-based electronics, including work with analog signal acquisition, biomedical sensors, low-noise analog front-ends, and portable medical electronics prototypes. ✅ How I’ll Help You Succeed 1. Support integration and optimization of ECG, seismocardiography, and acoustic sensors to ensure reliable multimodal biosignal acquisition. 2. Improve the analog front-end and signal conditioning stages to achieve low-noise, medically useful signal quality. 3. Review and refine the existing PCB design and embedded hardware architecture to prepare the device for stable operation and prototype validation. ✅ Before I start, one quick question: Are the ECG, acoustic, and seismocardiography sensors already finalized, or would you like assistance evaluating and selecting optimal sensor modules for the final prototype? If you share that, we can align quickly and move forward. Best regards, Prat PCB Must Innovations

@ZainAbbas51862

Greetings Dear Hiring Manager I have read the description of your project and I understand everything. I am an expert in medical-grade embedded design and biosensor integration, with extensive experience in synchronizing multimodal signals like ECG, SCG, and PCG for cardiac diagnostic applications. I specialize in high-resolution signal acquisition, low-noise analog front-end design, and embedded processing for real-time interpretation, making me ideally suited to stabilize your prototype and bridge the gap between your current PCB and clinical testing requirements. I am waiting on chat to discuss more and I am willing to start it now. Best Regards, Zain Abbas

@hancho6319

As an Embedded Systems Engineer with a background in Electrical and Electronics Engineering, I not only possess the skills in sensor integration and embedded design that your project requires, but I also have a deep understanding of electronic circuits and digital systems that is pivotal to successful project completion. My work with microcontroller platforms such as STM32 and my proficiency with simulation and PCB design tools like KiCad and EasyEDA Pro uniquely equip me for any challenges we may face in completing your handheld device for Heart Murmur detection. My ability to analyze complex issues carefully and apply innovative solutions has been tested and proven over time. Whether it's designing an embedded system, developing a web app, creating a 3D model or building an intelligent software solution, I always approach the problem with creativity, precision, and engineering excellence. Notably, I place a premium on ensuring my work is clean, scalable, efficient and delivers the intended results. Whilst you are aware of my strong technical skills this will be complemented by an experimental mindset as we innovate towards making your project more affordable without compromising its reliability. The passion that pushed you to develop HRID-AI aligns perfectly with mine - building devices that can save lives especially in low-resource settings is why I became an engineer.

@joaquinc48

✅✅✅ Biomedical Embedded Systems & Biosignal Acquisition Engineer ✅✅✅ Hi there, I have experience developing embedded systems for biosignal acquisition including ECG, acoustic sensing, and low-noise analog front-end design for medical prototypes. My work involves integrating biosensors, optimizing signal conditioning, and implementing reliable embedded data acquisition for clinical research devices. My approach is to review the existing PCB and prototype, optimize the analog front-end for ECG, cardiac acoustics, and seismocardiography signals, and ensure clean acquisition through proper filtering, ADC configuration, and embedded firmware. I can also assist with data synchronization, feature extraction, and preparing the prototype for reliable clinical testing. A few questions: Which ECG front-end IC or ADC are you currently using? What sampling rates are targeted for ECG, SCG, and acoustic channels? Is the processing intended on-device or via external AI analysis? I am ready to start immediately. Best regards

@drtaimoor

Hi, Your HRID-AI project is very meaningful, and I’d be glad to support the prototype completion and sensor integration stage. I’m an embedded systems engineer with strong experience in biosensor integration, signal acquisition, and low-power medical/health monitoring electronics. I have worked with ECG sensors, IMU-based sensing (useful for seismocardiography), audio/microphone signal capture, and embedded firmware for real-time biomedical signal processing, along with PCB review, firmware development, and hardware validation. For your device, I can help review the existing PCB and prototype architecture, assist with integration of ECG, acoustic heart sound sensors, and SCG sensors, and ensure reliable signal acquisition, filtering, and embedded firmware processing. The focus would be to stabilize the hardware platform, optimize sensor sampling, noise reduction, and synchronization of multimodal biosignals, and prepare the device for clinical proof-of-concept testing. I can also assist with firmware architecture, data acquisition pipelines, and documentation needed for prototype validation. I’d be happy to review the current PCB design, firmware status, and sensor stack to determine the best steps to bring the prototype to a stable testing stage.

@angelajm

I am very interested in contributing to the HRID-AI project. The concept of a low-cost handheld device capable of estimating ejection fraction using multimodal biosignals such as ECG, seismocardiography, and cardiac acoustics is extremely valuable for rapid point-of-care triage, especially in emergency and low-resource healthcare settings. I can assist with sensor integration, embedded system development, signal acquisition, and prototype refinement to help move the device from its current PCB-level prototype toward a clinically testable system. My focus would be on ensuring reliable biosignal acquisition, efficient embedded processing, and stable integration of ECG, acoustic, and seismocardiographic sensors. I am also interested in collaborating with your team to refine the hardware design, optimize data capture, and prepare the device for proof-of-concept testing. The goal would be to create a stable prototype suitable for clinical validation and further development. I would be happy to discuss the current architecture, sensor choices, firmware environment, and remaining development challenges to determine the best way I can support the project. Looking forward to hearing from you.