iomt

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✨✨ 📡 Official repository of paper "Robust Biometric Information Sensing With mmWave Radar System-on-Chip" (IEEE TMC) ✨✨

Repository for the journal article, 'FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices', Mahbub Ul Alam, Rahim Rahmani. Sensors 23, no. 2: 970, https://doi.org/10.3390/s23020970.

A private blockchain developed in Ethereum for a network of Raspberry Pis

Care aims to create an IoT solution to hospitals interconnecting smart monitors to decrease the time a doctor takes to respond to an emergency.

Phonocardiogram (PCG) signal processing and analysis for Internet of Medical Things (IoMT) applications, including filtering, heart sound visualization, and feature extraction.

In this repo, the implementation of paper named "A Minimalistic Yet Effective Domain Adaptation Strategy for IoMT Network Intrusion Detection" is provided.

Real-time sports biometric monitoring platform with multi-role dashboards for athletes, coaches and medical staff. Integrates HR, SpO2, GPS and accelerometer data via MQTT. Built with JavaFX, Python FastAPI and SQLite. Includes a hyper-realistic physiological simulator switchable to real ESP32 hardware.

Repository for the journal article, 'Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application', Mahbub Ul Alam, Rahim Rahmani. Sensors 21, no. 15: 5025, https://doi.org/10.3390/s21155025.

A cross-layer IoMT anomaly detection dataset with real traffic, labeled attacks, and FGSM/PGD adversarial samples for robust security research.

IoMT risk education platform built from 28 years of clinical emergency medicine and lived device dependency. Real failure scenarios. No hypotheticals.

Creating a Personal Medical Record (PMR) through context-aware means

Healthcare Cybersecurity Strategist | IoMT & Medical Device Security | Featured Defender — Midnight in the War Room, Black Hat USA 2026

Wearable fall-detection device with double-layer LSTM (97.8% accuracy), companion to published research

Analysis of how to reduce information leaking in IoMT scenario by means of ML tools. Test of network functionalities in a lorawan architecture.

Systematic review of federated learning for privacy-preserving medical image analysis (2020–2026)

ArionStream: a distributed architecture for real-time video analysis in edge IoMT applications

Federated learning for wearable stress detection. Adds differential privacy, homomorphic encryption, and device authentication on top, so no one's raw data or their participation in the study ever leaves their device.

Unsupervised anomaly detection on patient vitals (IoMT) using Isolation Forest, with clinical interpretation, and a Streamlit demo.

IoT and Edge AI based early anomaly detection for cardiac and SpO₂ signals using ESP32 and MAX30102.