S-Patch CardioAI

K254255 · Wellysis Corp. · DPS · Sep 25, 2026 · Cardiovascular

Device Facts

Record IDK254255
Device NameS-Patch CardioAI
ApplicantWellysis Corp.
Product CodeDPS · Cardiovascular
Decision DateSep 25, 2026
DecisionSESE
Submission TypeTraditional
Regulation21 CFR 870.2340
Device ClassClass 2
AttributesAI/ML, Software as a Medical Device, Real-World Evidence

Real-World Evidence

SubmissionDeviceSponsorRWD SourcesRWE Use SummaryKey Tags
K254255 · Sep 25, 2026S-Patch CardioAIWellysis Corp.Retrospective 24-hour ambulatory ECG recordings from 496 adult patientsRetrospective clinical performance evaluation of the S-Patch CardioAI algorithm using ECG data collected from five clinical sites to validate beat detection, arrhythmia classification, and signal quality assessment.Retrospective study; Ambulatory ECG; Clinical performance validation; Arrhythmia detection

Clinical Evidence

Study DesignPopulationComparatorKey Endpoints
Retrospective clinical performance evaluation; Follow-up/Duration: 24-hour ECG recordings496 unique adult patients; Sample Size: 496; Number of Sites: 5Independent cardiologist-adjudicated annotationsQRS detection, Normal beat classification, SVEB classification, VEB classification, Atrial fibrillation detection, Unreadable interval determination

AI Performance

OutputAlgorithmAcceptanceObservedDev DSDev ReadersTest DSTest Readers
QRS DetectionDeep-learning algorithm combining rule-based logic with AI/ML technology—99.9% / 99.4%——24-hour S-Patch ECG recordings from 496 unique adult patients across five clinical sites>1 (cardiologists)
Normal Beat ClassificationDeep-learning algorithm combining rule-based logic with AI/ML technology—100.0% / 99.6%——24-hour S-Patch ECG recordings from 496 unique adult patients across five clinical sites>1 (cardiologists)
Supraventricular Ectopic Beat ClassificationDeep-learning algorithm combining rule-based logic with AI/ML technology—94.6% / 90.2%——24-hour S-Patch ECG recordings from 496 unique adult patients across five clinical sites>1 (cardiologists)
Ventricular Ectopic Beat ClassificationDeep-learning algorithm combining rule-based logic with AI/ML technology—97.3% / 92.5%——24-hour S-Patch ECG recordings from 496 unique adult patients across five clinical sites>1 (cardiologists)
Atrial Fibrillation DetectionDeep-learning algorithm combining rule-based logic with AI/ML technology—95.4% / 94.7%——24-hour S-Patch ECG recordings from 496 unique adult patients across five clinical sites>1 (cardiologists)
Signal Quality AssessmentDeep-learning algorithm combining rule-based logic with AI/ML technology—90.7% / 94.6%——24-hour S-Patch ECG recordings from 496 unique adult patients across five clinical sites>1 (cardiologists)

Indications for Use

S-Patch CardioAI is a software application intended for the assessment of cardiac arrhythmias using ambulatory ECG data in adults. It is intended for use by a healthcare solution integrator to build web, mobile, or other types of applications that allow qualified healthcare professionals to review and confirm the analytic results. The product supports downloading and analyzing data recorded in compatible formats from FDA-cleared S-Patch Ex and S-Patch ExL devices when assessment of the rhythm is necessary. S-Patch CardioAI can be electronically interfaced to perform analysis on data transferred from other computer-based ECG systems, such as an ECG management system. S-Patch CardioAI is not intended for use in life-supporting or life-sustaining systems or ECG Alarm devices. The interpretation results generated by S-Patch CardioAI are not intended to be the sole means of diagnosis. Interpretation of the device output must be made by the clinician; the results are offered to physicians and clinicians on an advisory basis only, to be used in conjunction with the physician's knowledge of ECG patterns, patient background, clinical history, symptoms, and other diagnostic information.

Device Story

S-Patch CardioAI is a backend SaMD analysis engine; processes single-lead ECG data from S-Patch Ex/ExL devices or other computer-based ECG systems. Uses a hybrid deep-learning algorithm with rule-based logic to analyze temporal ECG waveforms; detects cardiac beats, classifies arrhythmias, and assesses signal quality. Outputs include QRS, heart rate, RR intervals, heart rate variability, non-paced arrhythmias, ventricular/supraventricular ectopic beats, and signal quality (unreadable) intervals. Accessed via API by third-party software; integrates into web/mobile applications for clinical use in home, clinic, or hospital settings. Operated by healthcare solution integrators; results reviewed by qualified healthcare professionals. Provides advisory information to support clinical decision-making; does not provide automated diagnosis. Benefits include automated, scalable analysis of ambulatory ECG data to assist clinicians in arrhythmia assessment.

Clinical Evidence

Retrospective study of 496 adult patients across five sites (three U.S.). Reference standard: independent cardiologist-adjudicated annotations. Results (Sensitivity/Positive Predictive Value): QRS Detection (99.9%/99.4%), Normal Beat (100.0%/99.6%), SVEB (94.6%/90.2%), VEB (97.3%/92.5%), Atrial Fibrillation (95.4%/94.7%), Unreadable (90.7%/94.6%). All pre-specified acceptance criteria met.

Technological Characteristics

Software-only; web API interface. Complies with ANSI/AAMI/IEC 60601-2-47, AAMI/ANSI/EC57, and ANSI/AAMI/IEC 62304. Hybrid architecture: deep-learning algorithm combined with rule-based logic. Processes single-lead ECG data. Cloud/server-deployable backend engine.

Indications for Use

Indicated for assessment of cardiac arrhythmias using ambulatory ECG data in adults. Not for life-supporting/sustaining systems or ECG alarms. Requires clinician review and confirmation.

Regulatory Classification

Identification

An electrocardiograph is a device used to process the electrical signal transmitted through two or more electrocardiograph electrodes and to produce a visual display of the electrical signal produced by the heart.

Predicate Devices

Submission Summary (Full Text)

{0} **U.S. FOOD & DRUG** ADMINISTRATION September 25, 2026 Wellysis Corp. Young Juhn CEO 8f, 425 Teheran-Ro Gangnam--Gu Seoul, Republic Of Korea Re: K254255 Trade/Device Name: S-Patch CardioAI Regulation Number: 21 CFR 870.1425 Regulation Name: Programmable Diagnostic Computer Regulatory Class: Class II Product Code: DQK, DPS Dated: August 24, 2026 Received: August 25, 2026 Dear Young Juhn: We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading. If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register. Before making any change significantly affecting the safety or effectiveness of the device, you must submit a new premarket notification in accordance with 21 CFR 807.81. Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding U.S. Food & Drug Administration 10903 New Hampshire Avenue Silver Spring, MD 20993 www.fda.gov {1} K254255 - Young Juhn Page 2 When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download). Your device is also subject to, among other requirements, the Quality Management System Regulation (QMSR) (21 CFR Part 820), which includes, but is not limited to, ISO 13485 clause 7.3 (Design controls), ISO 13485 clause 8.3 (Nonconforming product), ISO 13485 clause 8.5.2 (Corrective action), and ISO 13485 clause 8.5.3 (Preventative action). Please note that regardless of whether a change requires premarket review, the QMSR requires device manufacturers to review and approve changes to device design and production (ISO 13485 clause 7.3 and ISO 13485 clause 7.5) and document changes and approvals in the Medical Device File (ISO 13485 clause 4.2.3). Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reporting-combination-products); good manufacturing practice requirements as set forth in the Quality Management System Regulation (QMSR) (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050. All medical devices, including Class I and unclassified devices and combination product device constituent parts are required to be in compliance with the final Unique Device Identification System rule ("UDI Rule"). The UDI Rule requires, among other things, that a device bear a unique device identifier (UDI) on its label and package (21 CFR 801.20(a)) unless an exception or alternative applies (21 CFR 801.20(b)) and that the dates on the device label be formatted in accordance with 21 CFR 801.18. The UDI Rule (21 CFR 830.300(a) and 830.320(b)) also requires that certain information be submitted to the Global Unique Device Identification Database (GUDID) (21 CFR Part 830 Subpart E). For additional information on these requirements, please see the UDI System webpage at https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/unique-device-identification-system-udi-system. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-devices/medical-device-safety/medical-device-reporting-mdr-how-report-medical-device-problems. For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory- {2} K254255 - Young Juhn Page 3 assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100). Sincerely, KIMBERLY N. CROWLEY - S For: Jennifer Kozen Assistant Director Division of Cardiac Electrophysiology, Diagnostics, and Monitoring Devices Office of Cardiovascular Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health Enclosure {3} # Indications for Use Please type in the marketing application/submission number, if it is known. This textbox will be left blank for original applications/submissions. K254255 Please provide the device trade name(s). S-Patch CardioAI Please provide your Indications for Use below. S-Patch CardioAI is a software application intended for the assessment of cardiac arrhythmias using ambulatory ECG data in adults. It is intended for use by a healthcare solution integrator to build web, mobile, or other types of applications that allow qualified healthcare professionals to review and confirm the analytic results. The product supports downloading and analyzing data recorded in compatible formats from FDA-cleared S-Patch Ex and S-Patch ExL devices when assessment of the rhythm is necessary. S-Patch CardioAI can be electronically interfaced to perform analysis on data transferred from other computer-based ECG systems, such as an ECG management system. S-Patch CardioAI is not intended for use in life-supporting or life-sustaining systems or ECG Alarm devices. The interpretation results generated by S-Patch CardioAI are not intended to be the sole means of diagnosis. Interpretation of the device output must be made by the clinician; the results are offered to physicians and clinicians on an advisory basis only, to be used in conjunction with the physician's knowledge of ECG patterns, patient background, clinical history, symptoms, and other diagnostic information. CAUTION - Federal (U.S.) law restricts this device to sale by or on the order of a licensed healthcare practitioner. Please select the types of uses (select one or both, as applicable). ☑ Prescription Use (21 CFR 801 Subpart D) ☐ Over-The-Counter Use (21 CFR 801 Subpart C) ? {4} Traditional 510(k) Premarket Notification Wellysis Corp. S-Patch CardioAI ## 510(k) Summary | **Date Prepared:** | September 24, 2026 | | --- | --- | | **Submitter/Applicant:** | Wellysis Corp. 8F, 425, Teheran-ro, Gangnam-gu, Seoul, Republic of Korea | | **Official Contact:** | Dennis Ahn, Quality Assurance Manager | | **Primary Contact Person:** | Dennis Ahn Quality Assurance Manager, Wellysis USA Email: dennis.ahn@wellysis.com Phone: (217) 298-6850 | | **Secondary Contact Person:** | Robert Kazmierski Regulatory Consultant, MCRA. Email: rkazmierski@mcra.com Phone: (443) 831-5064 | | **Proprietary or Trade Name:** | S-Patch CardioAI | | **Common/Usual Name:** | Electrocardiograph | | **Classification Name:** | 21CFR 870.1425 DQK and DPS Class II | | **Predicate Device:** | DeepRhythmAI, K210822 | ### Device Description: S-Patch CardioAI is proprietary Software as a Medical Device (SaMD) intended for the automated processing and analysis of single-lead electrocardiogram (ECG) data obtained from S-Patch Ex and S-Patch ExL devices. Operating as a backend analysis engine, it uses a scalable Application Programming Interface (API) to integrate with third-party medical systems that offer visualization and user interface. The product is designed exclusively to provide supportive analytical information to qualified healthcare professionals for review. The core of S-Patch CardioAI is the deep-learning algorithm that combines rule-based logic with advanced AI/ML technology. This hybrid architecture analyzes the temporal context of ECG waveforms to accurately detect cardiac beats, classify arrhythmias, and assess signal quality. S-Patch CardioAI can be used to analyze both continuous ECG as well as event recordings. Upon processing, it can generate cardiac classifications and metrics including: - QRS - Heart rate determination - Heart rate variability measurements K254255 510(k) Summary Wellysis Corp. Page 1 / 6 {5} Traditional 510(k) Premarket Notification Wellysis Corp. S-Patch CardioAI - RR Interval measurements - Non-paced arrhythmias - Non-paced ventricular arrhythmia calls - Ventricular ectopic beats - Supraventricular ectopic beats - Unreadable (signal-quality) interval determination S-Patch CardioAI can be deployed as a flexible solution capable of residing within compatible secure computing environments. ### Indications for Use: S-Patch CardioAI is a software application intended for the assessment of cardiac arrhythmias using ambulatory ECG data in adults. It is intended for use by a healthcare solution integrator to build web, mobile, or other types of applications that allow qualified healthcare professionals to review and confirm the analytic results. The product supports downloading and analyzing data recorded in compatible formats from FDA-cleared S-Patch Ex and S-Patch ExL devices when assessment of the rhythm is necessary. S-Patch CardioAI can be electronically interfaced to perform analysis on data transferred from other computer-based ECG systems, such as an ECG management system. S-Patch CardioAI is not intended for use in life-supporting or life-sustaining systems or ECG Alarm devices. The interpretation results generated by S-Patch CardioAI are not intended to be the sole means of diagnosis. Interpretation of the device output must be made by the clinician; the results are offered to physicians and clinicians on an advisory basis only, to be used in conjunction with the physician's knowledge of ECG patterns, patient background, clinical history, symptoms, and other diagnostic information. CAUTION - Federal (U.S.) law restricts this device to sale, distribution, and use by or on the order of a licensed healthcare practitioner. ### Environments of use: S-Patch CardioAI is intended for use within secure, controlled computing environments, and its analysis functions are accessed exclusively through its Application Programming Interface (API) by third-party software systems. S-Patch CardioAI supports clinical workflows in home, clinic, and hospital settings through integrated applications that present the analysis results to qualified healthcare professionals. A separate administrative web interface (the Admin Dashboard) is provided for administrators to manage tenants and accounts; it presents no clinical information, supports no clinical task, and is not used for ECG analysis. Table 3.1. outlines the proposed device vs. the predicate. As part of the comparison, the following shall be presented & discussed: - Indications for Use K254255 510(k) Summary Wellysis Corp. Page 2 / 6 {6} Traditional 510(k) Premarket Notification Wellyis Corp. S-Patch CardioAI - Technology and Principle of Operation Table 3.1 – Comparison – Subject vs. Predicate | | Predicate DeepRhythmAI | Subject device S-Patch CardioAI | Comments | | --- | --- | --- | --- | | K# | K210822 | K254255 | N/A | | Product Code | DQK and DPS | DQK and DPS | Same | | Classification | Class II | Class II | Same | | Regulation Number(s) | 21 CFR §870.1425 21 CFR §870.2340 | 21 CFR §870.1425 21 CFR §870.2340 | Same | | Classification name | Programmable Diagnostic Computer, Electrocardiograph | Programmable Diagnostic Computer, Electrocardiograph | Same | | Indications for Use | DeepRhythmAI is a cloud-based software for the assessment of cardiac arrhythmias using two lead ECG data in adult patients. It is intended for use by a healthcare solution integrator to build web, mobile or another types of applications to let qualified healthcare professionals review and confirm the analytic result. The product supports downloading and analyzing data recorded in the compatible formats from dedicated ambulatory ECG devices such as Holter, event recorder, Mobile Cardiac Telemetry or other similar devices when the assessment of the rhythm is necessary. The product can be electronically interfaced and perform analysis with data transferred from other computer-based ECG systems, such as an ECG management system. | S-Patch CardioAI is a software application intended for the assessment of cardiac arrhythmias using ambulatory ECG data in adults. It is intended for use by a healthcare solution integrator to build web, mobile, or other types of applications that allow qualified healthcare professionals to review and confirm the analytic results. The product supports downloading and analyzing data recorded in compatible formats from FDA-cleared S-Patch Ex and S-Patch ExL devices when assessment of the rhythm is necessary. S-Patch CardioAI can be electronically interfaced to perform analysis on data transferred from other computer-based ECG systems, such as an ECG management system. S-Patch CardioAI is not intended for use in life-supporting or life-sustaining | Similar - compatible devices have been evaluated with performance testing | K254255 510(k) Summary Wellyis Corp. Page 3 / 6 {7} Traditional 510(k) Premarket Notification Wellysis Corp. S-Patch CardioAI | | Predicate DeepRhythmAI | Subject device S-Patch CardioAI | Comments | | --- | --- | --- | --- | | | DeepRhythmAI can be integrated into medical devices. In this case, the medical device manufacturer will identify the indication for use depending on the application of their device. DeepRhythmAI is not for use in life-supporting or sustaining systems or ECG Alarm devices. Interpretation results are not intended to be the sole means of diagnosis. It is offered to physicians and clinicians on an advisory basis only in conjunction with the physician's knowledge of ECG patterns, patient background, clinical history, symptoms and other diagnostic information. | systems or ECG Alarm devices. The interpretation results generated by S-Patch CardioAI are not intended to be the sole means of diagnosis. Interpretation of the device output must be made by the clinician; the results are offered to physicians and clinicians on an advisory basis only, to be used in conjunction with the physician's knowledge of ECG patterns, patient background, clinical history, symptoms, and other diagnostic information. CAUTION - Federal (U.S.) law restricts this device to sale, distribution, and use by or on the order of a licensed healthcare practitioner. | | | Components | Software only: 1) A web API 2) An automated proprietary algorithm. | Software only: 1) A web API 2) An automated proprietary algorithm. | Same | | Interface | Web application programming interface (API) | Web application programming interface (API) | Same | | Part responsible for ECG signal analysis | The automated proprietary deep-learning algorithm, which measures and analyzes ECG data to provide qualified healthcare professional with supportive information for review. | The automated proprietary deep-learning algorithm, which measures and analyzes ECG data to provide qualified healthcare professional with supportive information for review. | Same | | Number of leads for a received ECG signal | Two-lead ECG | Single-lead ECG | Similar – compatible devices have been evaluated with performance testing | | Display or Graphical User Interface (GUI) | No primary display or GUI | No primary display or GUI | Same | K254255 510(k) Summary Wellysis Corp. Page 4 / 6 {8} Traditional 510(k) Premarket Notification Wellysis Corp. S-Patch CardioAI ### Analysis Output Comparison | Device functionality | S-Patch CardioAI | DeepRhythmAI (K210822)^{1} | | --- | --- | --- | | QRS | YES | YES | | Heart rate determination | YES | YES | | R-R interval measurement | YES | YES | | Heart rate variability measurements | YES | Not stated in the cleared 510(k) Summary | | Non-paced arrhythmia | YES | YES | | Non-paced ventricular arrhythmia calls | YES | YES | | Atrial fibrillation detection | YES | YES | | Ventricular ectopic beats | YES | YES | | Supraventricular ectopic beats | YES | YES | | Unreadable (signal-quality) interval determination | YES | Not stated in the cleared 510(k) Summary | Predicate entries are taken from the cleared K210822 510(k) Summary. "Not stated" indicates that the cleared summary does not describe the item; it is not a statement about the predicate's capability. The two subject-device outputs not described in the cleared predicate summary — heart-rate-variability indices and the Unreadable (signal-quality) interval determination — are adjunct outputs that were independently validated in the clinical performance testing. They do not alter the intended use or raise no new question of safety or effectiveness compared to the predicate. ### Substantial Equivalence Discussion S-Patch CardioAI has the same general intended use and similar indications as the predicate device. The subject device's indications for use specify a patient population of adults, consistent with the intended-use population evaluated in performance testing to align with the predicate device's intended-use population. Accordingly, the subject and predicate devices share the same intended-use age range, and this does not constitute a new or different intended use, nor does it raise new questions of safety or effectiveness. The subject device shares the same technological characteristics as the predicate, including compliance with ANSI/AAMI/IEC 60601-2-47, AAMI/ANSI/EC57, and ANSI/AAMI/IEC 62304. A difference in technological characteristics exists in that the subject device uses a single-lead ECG from previously cleared S-Patch devices, as opposed to the predicate's compatibility with two-lead ECGs. This single-lead configuration was validated in the clinical performance testing, and this difference in technological characteristics therefore does not raise new questions of safety or effectiveness. A further difference exists in the output sets of the two devices: the subject device's core measurement outputs (QRS/heart-rate determination, RR interval measurements, non-paced arrhythmias, non-paced ventricular arrhythmia calls, atrial fibrillation detection, ventricular ectopic beats, and supraventricular ectopic beats) are the same as the predicate's, and it additionally provides heart-rate-variability metrics and the Unreadable (signal-quality) interval determination. These differences do not raise new questions of safety or effectiveness and have been appropriately evaluated to demonstrate the device remains as safe and effective as the predicate device through non-clinical testing according to K254255 510(k) Summary Wellysis Corp. Page 5 / 6 {9} Traditional 510(k) Premarket Notification Wellysis Corp. S-Patch CardioAI AAMI/ANSI/EC57:2012 and clinical performance testing. ## Non-clinical Performance Testing Non-clinical performance testing was conducted in accordance with ANSI/AAMI EC57:2012/(R)2020 using the standard annotated arrhythmia databases referenced by that standard. Beat detection, beat classification, and ectopic run detection were evaluated. ## Clinical Performance Testing Clinical performance was evaluated retrospectively using 24-hour S-Patch ECG recordings from 496 unique adult patients across five clinical sites, including three U.S. sites. The validation cohort was independent from model training, tuning, and threshold selection. Independent cardiologist-adjudicated annotations were used as the clinical reference for beat detection and classification and atrial fibrillation (AF), and an independently adjudicated readability reference was used for the Unreadable output. The table below summarizes the performance of these directly reference-validated outputs. The clinical reference annotations were established through independent cardiologist review and adjudication. | Output | Clinical Performance (Se/+P) | | --- | --- | | QRS Detection | 99.9% / 99.4% | | Normal Beat (N) Classification | 100.0% / 99.6% | | SVEB (S) Classification | 94.6% / 90.2% | | VEB (V) Classification | 97.3% / 92.5% | | Atrial Fibrillation (episode) | 95.4% / 94.7% | | Unreadable | 90.7% / 94.6% | All pre-specified acceptance criteria established for these directly validated outputs were met. Other device outputs were evaluated using validation methods appropriate to each output. Subgroup analyses across demographic, site/region, rhythm-burden, and recorder-model strata did not identify evident performance degradation in estimable subgroups; low-count strata were descriptively. ## Conclusion In conclusion, S-Patch CardioAI has the same intended use as the predicate device, and any differences in technological characteristics do not raise different questions of safety or effectiveness. Differences between the subject device and the predicate have been tested to ensure that the device meets its intended use. Therefore, S-Patch CardioAI is substantially equivalent to the predicate device. K254255 510(k) Summary Wellysis Corp. Page 6 / 6
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