AT-Patch (ATP-C130/ATP-C70) vs Acumen Hypotension Prediction Index (HPI) Feature Software

Similar category, different focus. These tools serve overlapping but distinct needs. Comparability 60/100 Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.

AT-Patch (ATP-C130/ATP-C70)

by ATsens Co.

Acumen Hypotension Prediction Index (HPI) Feature Software

by Edwards Lifesciences

AI Verdict

These tools are adjacent rather than direct competitors, as they address different physiological parameters and clinical needs. AT-Patch is an ambulatory ECG monitor for long-term arrhythmia detection, ideal for outpatient diagnostics. In contrast, Acumen HPI is a predictive monitoring software for acute care settings, focused on preventing hypotensive events by analyzing real-time hemodynamic data.

Choose AT-Patch (ATP-C130/ATP-C70) if…

Choose AT-Patch if you require extended, continuous ambulatory ECG monitoring for patients in an outpatient setting. This tool is ideal for detecting intermittent arrhythmias over several days, offering patient comfort with its compact, shower-proof design and AI-powered analysis for efficient diagnosis.

View AT-Patch (ATP-C130/ATP-C70) →

Choose Acumen Hypotension Prediction Index (HPI) Feature Software if…

Choose Acumen Hypotension Prediction Index (HPI) if your clinical setting demands real-time, predictive insights to prevent hypotensive events in critically ill or surgical patients. This software is best suited for proactive hemodynamic management in the OR or ICU, enabling clinicians to intervene before instability occurs.

View Acumen Hypotension Prediction Index (HPI) Feature Software →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature	AT-Patch (ATP-C130/ATP-C70)	Acumen Hypotension Prediction Index (HPI) Feature Software
Deployment	Wearable device for patients; analysis software deployed on-premise at medical institutions.	Unknown
FDA Status	Cleared AI-estimated	Cleared AI-estimated
HIPAA	Unknown	Yes AI-estimated

Head-to-Head

AI-generated assessment across six dimensions based on each tool's documented features and compliance posture. Grounded in public data — not a substitute for hands-on evaluation.

Usability

AT-Patch (ATP-C130/ATP-C70)

Tool A (AT-Patch) prioritizes patient comfort and ease of use with its compact, lightweight, and shower-proof wearable design, along with a simple smartphone app for live ECG viewing. While Tool B focuses on clinician usability within a complex platform, Tool A's patient-centric design offers broader and more direct usability for its primary user, the patient.

Clinical Value

Acumen Hypotension Prediction Index (HPI) Feature Software

Tool A provides valuable long-term diagnostic ECG data for arrhythmia detection. However, Tool B (Acumen HPI) offers a 'first-of-its-kind' predictive capability for hypotension, demonstrated to reduce the incidence, duration, and severity of intraoperative hypotension, directly aiding proactive hemodynamic management and improving patient outcomes in critical settings.

Pricing & Value

Tie

Both tools lack publicly available pricing information, requiring direct contact with their respective vendors. Without any transparent pricing details or comparative cost-effectiveness studies, it is impossible to determine which tool offers better pricing or overall value.

Enterprise Readiness

Acumen Hypotension Prediction Index (HPI) Feature Software

Tool B (Acumen HPI) explicitly states HIPAA compliance and having a Business Associate Agreement (BAA), and it is integrated into Edwards Lifesciences' HemoSphere advanced monitoring platform, suggesting a more streamlined integration for large healthcare systems. Tool A's BAA is not explicitly mentioned, and its on-premise software deployment might require more integration effort for enterprise environments.

Innovation

Acumen Hypotension Prediction Index (HPI) Feature Software

While Tool A innovates by enhancing continuous ECG monitoring with AI and patient-friendly design, Tool B's (Acumen HPI) 'first-of-its-kind' predictive capability for hypotension represents a more significant leap. Its ability to predict a critical adverse event up to 15 minutes before it occurs, enabling proactive intervention, is a more groundbreaking application of AI in critical care.

Support & Docs

Tie

The provided structured facts do not contain specific information regarding the level or quality of support and documentation for either tool. While web searches confirm the existence of user manuals and support contact for both companies, there is no comparative data to distinguish their offerings in this dimension.

Feature-by-Feature

Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.

Feature	AT-Patch (ATP-C130/ATP-C70)	Acumen Hypotension Prediction Index (HPI) Feature Software
Name	AT-Patch (ATP-C130/ATP-C70)	Acumen Hypotension Prediction Index (HPI) Feature Software
Company	ATsens Co.	Edwards Lifesciences
Description	FDA-cleared wearable ECG monitor offering up to 14 days of continuous cardiac monitoring with high accuracy, a shower-proof design, and integrated AI-powered analysis software for enhanced arrhythmia detection.	A predictive monitoring tool that uses machine learning to detect and alert clinicians to the likelihood of a hypotensive event before it occurs, aiding in proactive hemodynamic management and improving patient outcomes.
Key Features	Up to 14 days of continuous ECG monitoring (ATP-C130); High-performance sensor chip for accurate ECG signal acquisition; Shower-proof design (IP57 for ATP-C130, IP44 for ATP-C70); AT-Report software with AI/machine learning algorithms for ECG analysis.	Hypotension Prediction Index (HPI) parameter (0-100 score); Smart Alerts and Smart Trend screen for impending hypotensive events; Machine learning algorithms for predictive analysis of blood pressure waveforms; Predicts hypotension up to 15 minutes before an event.
Categories	Cardiology AI, Wearables & Remote Monitoring (RPM)	Cardiology AI, Triage & ER/ICU AI
Specialties	Cardiology, Family Medicine, Internal Medicine	Anesthesiology, Critical Care, Emergency Medicine

Videos

Demos, reviews, and walkthroughs featuring AT-Patch (ATP-C130/ATP-C70) and Acumen Hypotension Prediction Index (HPI) Feature Software.

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Frequently Asked Questions

What are the primary clinical applications and target patient populations for AT-Patch and Acumen HPI?

AT-Patch is an ambulatory ECG monitor designed for continuous cardiac monitoring for up to 14 days, primarily for arrhythmia detection in cardiology, family medicine, and internal medicine patients. Acumen HPI is a predictive monitoring tool that uses machine learning to detect and alert clinicians to the likelihood of a hypotensive event before it occurs, aiding in proactive hemodynamic management for patients in anesthesiology, critical care, and emergency medicine settings.

What specific types of data do these tools monitor and what insights do their AI algorithms provide?

AT-Patch monitors continuous ECG signals and uses AI/machine learning algorithms for enhanced arrhythmia detection. Acumen HPI analyzes blood pressure waveforms using machine learning algorithms to generate a Hypotension Prediction Index (HPI) score (0-100), provide Smart Alerts for impending hypotensive events, and offer insights into preload, afterload, and contractility.

What are the key differences in monitoring duration and patient interaction for each device?

AT-Patch offers up to 14 days of continuous ECG monitoring without requiring charging or electrode replacement, and it features a compact, shower-proof design for patient comfort, along with a smartphone app for live ECG viewing and symptom recording. Acumen HPI provides real-time predictive monitoring, alerting clinicians to potential hypotensive events up to 15 minutes before they occur, and is compatible with both invasive and non-invasive monitoring methods.

What are the demonstrated clinical benefits or outcomes associated with using each tool?

AT-Patch offers high-performance sensor chips for accurate ECG signal acquisition and short-length electrodes to minimize motion artifact noise, enhancing the accuracy of arrhythmia detection. Acumen HPI has demonstrated a reduction in the incidence, duration, and severity of intraoperative hypotension, and it predicts hypotension up to 15 minutes before an event.