HopfieldCare ECG · Æ Technologies

Reconstruct Clean ECG Signals
Without Retraining

Energy-based associative memory denoise P-QRST complexes in real time — on-chip, offline, FDA-deterministic. Zero patient-specific training needed.

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Starting at $15,000 upfront

Turn-Key Cardiac Telemetry
for 500 Beds

Full-stack solution: ECG patch → Hopfield compute module → gateway → on-prem server → React/D3 live-stream dashboard → SMS alerts.

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Copilot+ Medical · Intel Core Ultra

Hopfield-on-Chip
Starting at $4.50/unit

ARM Cortex-M4 with Lyapunov-stable ECG output. BLE 5.0 + LTE-M. Drop-in integration for Apple Watch, Fitbit, Withings OEM platforms.

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1/3

Æ Technologies Showcase

AI Performance in an Ultracompact Medical Device

ARM Cortex-M4 + Hopfield SRAM. <50ms latency. 3.3V, 80mW. BLE 5.0. Drop-in OEM integration for any ECG wearable platform.

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Dell PowerEdge R750 · Hospital Configuration

Powerful, Inside and Out — Hospital Grade

Pre-configured with TimescaleDB, FastAPI, and the HopfieldCare cloud backend. Supports up to 500 beds out of the box. On-prem or AWS EKS.

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Wearable Integration SDK

Crafted for Wearable ECG Manufacturers

C SDK + BLE profile + cloud API. Apple Watch, Fitbit, Withings integrations. Energy-based confidence score per beat. 30-day free trial.

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XPS · Ward Gateway

Crafted For You — Raspberry Pi 4 Ward Hub

Aggregates up to 20 beds via BLE. 72-hour rolling ECG buffer. Local alert filtering. $55 BOM cost per ward. Plug-and-play with HopfieldCare firmware.

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Dell Pro 5 Micro · Edge Inference

AI Performance in an Ultracompact Edge PC

Copilot+ PC with Intel Core Ultra Series 3. Runs HopfieldCare Edge SDK for bedside inference. No cloud required. Privacy-first architecture.

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Latest from Borel Sigma

What's Happening

Move Faster, Work Smarter. Discover HopfieldCare ECG Pilot Launch Q3 2026.

See Next-Gen Edge AI at GTC 2026 — Hopfield Networks on ARM Cortex-M4.

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Æ Technologies Events — Singapore · Dublin · Boston · Tokyo.

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Our Purpose in Action — Tribal Health Initiative & Community ECG Screening.

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Market Opportunity · $14.8B Annual Loss

Problems We Solve — and How

Hopfield energy-based memory eliminates four critical cardiac telemetry failure modes, with measurable financial impact backed by peer-reviewed evidence.

Problem	Annual Loss (USD)	How Hopfield Concept Helps	Competing Products	Our Key Differentiator
ECG Signal Noise Muscle tremor, electrode pop	$6.2B/yr False ICU alarms	Energy-based denoising — reconstructs clean beat without training on patient data	Cardiomatics $30/pt/mo iRhythm Zio $300/14d	No retraining — any ECG lead; Lyapunov-stable output
Missing Beats Wireless dropout	$2.1B/yr Repeat Holter tests	Associative memory — fills missing R-R intervals from stored normal rhythm patterns	Precordial $49/pt/mo Eko Health $199+$20/mo	Offline edge inference — no cloud (privacy + <50ms latency)
Low SNR Wearables Apple Watch, Fitbit	$4.7B/yr Unnecessary ER visits	Boltzmann-like completion — restores P-waves from only 30% of samples	AliveCor Kardia $99+$10/mo Withings ScanWatch $299	Energy-based confidence score per beat (explainable AI)
Baseline Wander Long-term corruption	$1.8B/yr Misdiagnosed bradycardia	Global energy landscape — removes drift by projecting onto stored clean manifold	Biofourmis $50/pt/mo PhysIQ $40/pt/mo	Physics-based drift removal — preserves ST-segment

Customer Deliverables

Five Outputs. Zero Compromise.

What clinical and engineering teams receive — benchmarked against CNN/RNN incumbents.

Clean ECG Waveform

Real-time denoised P-QRST complex with <2% morphological distortion. Zero patient-specific training — plug and play on any lead.

Technical specs →

Missing Beat Interpolation

R-R interval restored with <5ms error at 40% signal dropout. Nonlinear pattern completion vs. >20ms error with linear methods.

Accuracy benchmark →

Confidence Score per Beat

Thermodynamic energy uncertainty (0–1). Calibrated confidence — unlike overconfident black-box softmax from CNN models.

XAI methodology →

Offline Edge Operation

Entire inference on ARM Cortex-M4. No cloud, no latency, no privacy risk. Air-gapped ICU and remote clinic ready.

Edge deployment →

FDA Regulatory Ready

Deterministic output — same input always yields same output. FDA 510(k) pathway compatible. No stochastic variance.

Regulatory roadmap →

78% False Alarm Reduction

"We reduced false AFib alarms by 78% without retraining on our 10,000 patients." — CTO, RPM Provider (pilot testimony).

Download case study →

Full-Stack System Architecture

From Electrode to Cardiologist Dashboard

End-to-end pipeline — every layer of the HopfieldCare ECG stack.

[Patient] → [ECG Electrodes (3-lead patch)] → [Analog Front End (ADS1298)] → [12-bit ADC]
                                                                                      │
                                                                                      ▼
                                                          [ARM Cortex-M4 + Hopfield ASIC / Firmware]
                                                                   │                      │
                                                                   ▼                      ▼
                                                         [Local OLED Display]   [BLE 5.0 / LTE-M Radio]
                                                                                           │
                                                                                           ▼
                                                                        [Ward Gateway · Raspberry Pi 4]
                                                                         [Aggregates up to 20 beds]
                                                                                           │
                                                                     [Encrypted MQTT / HTTPS (TLS 1.3)]
                                                                                           │
                                     ┌──────────────── Cloud / On-Prem Backend ───────────┘
                                     │  [FastAPI + Python 3.11]  →  [PostgreSQL + TimescaleDB]
                                     │  [Redis Cache]  →  [React + D3.js Frontend]
                                     │  [WebSocket live stream]  →  [Cardiologist Dashboard]
                                     │  [Alert Engine (Twilio/AWS SNS)]
                                     └──────────────────────┐
                                                            ▼
                                          [SMS / Pager → Cardiologist On-Call]

SOFTWARE:  FreeRTOS + Hopfield C Library + NimBLE (Edge)  │  Python 3.11 + FastAPI + Docker/K8s (Cloud)
DEVOPS:    Kubernetes (AWS EKS or On-Prem)  │  Prometheus + Grafana  │  CI/CD: GitHub Actions

Pricing Structure

Choose the Right Plan for Your Scale

From OEM chip modules to full hospital deployments. All tiers include edge firmware, cloud SDK, and regulatory documentation.

OEM Hardware Module

Hopfield-on-Chip

$4.50/unit

Qty 100,000 units

ARM Cortex-M4 + Hopfield SRAM
BLE 5.0 + LTE-M radio
ADS1298-compatible AFE
C firmware library included
RFQ package & datasheet

SaaS · Most Popular

Software SDK

$0.10/pt/day

Billed monthly · per active patient

Edge + cloud inference SDK
Confidence score API
WebSocket live stream
Alert engine (SMS/SNS)
FDA technical doc package
99.9% SLA guarantee

Enterprise Hospital

Turn-Key System

$15k upfront

+ $1,000/month · up to 500 beds

Full hardware stack included
On-prem server installation
Cardiologist dashboard setup
Clinical pilot support (30 pts)
FDA 510(k) filing support
Dedicated account manager

Managed Cloud · 500 beds

Cloud Platform

$295/mo

AWS / Azure / GCP · managed

IoT Core + MQTT broker
TimescaleDB managed
Auto-scaling Kubernetes
Prometheus + Grafana
Multi-region failover

Supply Chain · RFQ Ready

Ideal Partners & Procurement Options

5 verified suppliers per component. Send RFQ with spec: "Hopfield ECG denoising module, qty 10,000 units, ADS1298 AFE, ARM Cortex-M4, BLE 5.0, 0–50°C."

Component	Option 1	Option 2	Option 3	Option 4	Option 5	Est. Cost/Unit
ECG AFE + ADC	TI ADS1298	Analog AD8233	Maxim MAX30003	NXP Kinetis K53	STM32F4 + AFE	$2.50–$8.00
Hopfield Compute	STM32L4 $3.20	SAM D51 $3.50	nRF5340 $5.20	Renesas RA6M4 $4.10	NXP i.MX RT1060 $6.80	$3.20–$6.80
Wireless (BLE/LTE)	nRF52840 $4.50	ESP32-C3 $2.80	EFR32BG22 $3.90	Quectel BG95 $12.00	Sierra HL7800 $11.50	$2.80–$12.00
Ward Gateway	Raspberry Pi 4 $55	NVIDIA Jetson Nano $99	ODROID N2+ $79	BeagleBone Black $60	Google Coral $129	$55–$129
Hospital Server	Dell R750 $6,500	HPE DL380 $5,900	Supermicro 6029P $5,200	Lenovo SR650 $6,200	Cisco UCS C220 $7,000	$5.2k–$7k
Cloud (500 beds/mo)	AWS IoT Core $320	Azure IoT Hub $310	Google Cloud IoT $295	IBM Watson IoT $350	Oracle Cloud IoT $280	$280–$350/mo

Project Summary

MVP to Clinical Pilot — Complete Plan

$485k

Total MVP Budget

$150k hardware · $120k firmware · $80k cloud · $60k regulatory · $75k clinical trial

14mo

Timeline to Pilot

Mo 1–3: C algo · 4–6: PCB · 7–9: firmware+cloud · 10–11: regulatory · 12–14: pilot

6.5

Human FTEs

Cardiologist 0.5 · Embedded 2 · Regulatory 1 · Biz Dev 2 · ML Researcher 1

AI Agent FTEs

GitHub Copilot · RagaAI Test Agent · GPT-4 Doc Agent · Prometheus Auto-Remediation

10.5

Effective Capacity

Human + AI agent stack = 10.5 FTE capacity at 6.5 FTE cost. 38% labor efficiency gain.

$14.8B

Addressable Market

USA $30B · Germany €4.5B · Japan ¥1.2T annual ECG misdiagnosis losses

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Reconstruct Clean ECG SignalsWithout Retraining

Turn-Key Cardiac Telemetryfor 500 Beds

Hopfield-on-ChipStarting at $4.50/unit