PeeHD – A Smart Urinals Concept

Abstract The PeeHD (Precision Health Diagnostics) system reimagines the standard urinal as a high-fidelity biological data node for continuous health monitoring. By embedding real-time uro-analysis capabilities directly into the sanitation infrastructure, PeeHD enables passive, non-invasive, and clinically robust data acquisition. This integration supports both individual diagnostics and population-scale health surveillance within a PoLPEST-informed framework. --- System Architecture 1. Sample Capture: Sample Isolation Gate (SIG) Electromechanical valve captures a 5–10 mL mid-stream aliquot, reducing contamination risks. Ensures integrity comparable to clinically recommended “clean catch” procedures. Excess fluid diverted into the standard drainage system. 2. Sample Preparation: Microfluidic Analysis Core (MAC) Houses a modular Microfluidic Cartridge (MFC) (disposable/semi-permanent). Functions: controlled micro-pumping, buffer dilution, reagent introduction. Microchannels (50–200 µm) allow rapid and precise chemical reactions. 3. Analysis: Spectroscopic Sensor Array (SSA) Multi-modal optical detection: UV-Vis, optional Raman spectroscopy. Measures both reaction outputs and direct physical parameters (specific gravity, turbidity). Additional probes: conductivity, pH, temperature for normalization and robustness. 4. Processing: Embedded Processor (EP) Low-power edge-computing unit for sensor data acquisition. Runs calibration and BioMarker Pattern Recognition (BPR) AI models. Enables anomaly detection against both population-level baselines and personal longitudinal data. 5. User Feedback: OLED Interface High-resolution, non-touch OLED display. Linguistic Equity design: supports complex scripts (Devanagari, Nastaliq, etc.) and universal graphical cues. Balances transparency and clarity—provides direct actionable insights (e.g., “Healthy”, “Consult Physician”). 6. Connectivity & Data Integration Secure Communications Module: Wi-Fi / BLE 5.0 with AES-256 + TLS 1.3. Outputs standardized data streams compliant with HL7 FHIR. Enables integration with Health Data Lakes or Personal Health Records (PHR). --- Core Principles Passive & Non-invasive: Converts routine urination into a diagnostic act. Clinical Integrity: Maintains sample quality through precision isolation. Scalable Public Health Utility: Supports population-scale monitoring within smart-city infrastructure.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-13
DOI
https://doi.org/10.5281/zenodo.17336610
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

PeeHD – A Smart Urinals Concept

Zenodo (CERN European Organization for Nuclear Research)
Biosensors and Analytical Detection
article

PeeHD – A Smart Urinals Concept

article en

Abstract

Abstract The PeeHD (Precision Health Diagnostics) system reimagines the standard urinal as a high-fidelity biological data node for continuous health monitoring. By embedding real-time uro-analysis capabilities directly into the sanitation infrastructure, PeeHD enables passive, non-invasive, and clinically robust data acquisition. This integration supports both individual diagnostics and population-scale health surveillance within a PoLPEST-informed framework. --- System Architecture 1. Sample Capture: Sample Isolation Gate (SIG) Electromechanical valve captures a 5–10 mL mid-stream aliquot, reducing contamination risks. Ensures integrity comparable to clinically recommended “clean catch” procedures. Excess fluid diverted into the standard drainage system. 2. Sample Preparation: Microfluidic Analysis Core (MAC) Houses a modular Microfluidic Cartridge (MFC) (disposable/semi-permanent). Functions: controlled micro-pumping, buffer dilution, reagent introduction. Microchannels (50–200 µm) allow rapid and precise chemical reactions. 3. Analysis: Spectroscopic Sensor Array (SSA) Multi-modal optical detection: UV-Vis, optional Raman spectroscopy. Measures both reaction outputs and direct physical parameters (specific gravity, turbidity). Additional probes: conductivity, pH, temperature for normalization and robustness. 4. Processing: Embedded Processor (EP) Low-power edge-computing unit for sensor data acquisition. Runs calibration and BioMarker Pattern Recognition (BPR) AI models. Enables anomaly detection against both population-level baselines and personal longitudinal data. 5. User Feedback: OLED Interface High-resolution, non-touch OLED display. Linguistic Equity design: supports complex scripts (Devanagari, Nastaliq, etc.) and universal graphical cues. Balances transparency and clarity—provides direct actionable insights (e.g., “Healthy”, “Consult Physician”). 6. Connectivity & Data Integration Secure Communications Module: Wi-Fi / BLE 5.0 with AES-256 + TLS 1.3. Outputs standardized data streams compliant with HL7 FHIR. Enables integration with Health Data Lakes or Personal Health Records (PHR). --- Core Principles Passive & Non-invasive: Converts routine urination into a diagnostic act. Clinical Integrity: Maintains sample quality through precision isolation. Scalable Public Health Utility: Supports population-scale monitoring within smart-city infrastructure.

Zenodo (CERN European Organization for Nuclear Research)
Ali Yavar Jung National Institute for the Hearing Handicapped (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 51%
Biosensors and Analytical Detection
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