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Detector And Alarm, Arrhythmia

Open-data reference.

FDA MAUDE adverse event data · 1992–2026

What the Data Shows About Detector And Alarm, Arrhythmia

The FDA MAUDE database aggregates 33,206 adverse-event reports for Detector And Alarm, Arrhythmia spanning the period from 1992 through 2026. Of these, 503 are classified as death reports, 2,596 as injury reports, and 30,044 as malfunction reports under FDA adverse-event categorization rules. Report counts do not by themselves indicate a device is unsafe — widely used devices and longer market histories naturally generate larger raw counts, so proportional and comparative reads are more informative than totals alone.

The adverse-event profile breaks down across 5 distinct event types and 14 reported patient-outcome categories, giving a multi-dimensional view that goes beyond a single headline number. A total of 20 distinct product-problem codes appear in the reports, with Under-Sensing topping the list at 6,812 reports. Reports are associated with 10 different manufacturers in the MAUDE record, reflecting both OEMs and repackagers of this device category.

Annual reporting volume is tracked across 32 years of MAUDE data, with the peak single-year volume reaching 4,352 reports — trend shape often reflects changes in device adoption, reporting rules, or FDA enforcement focus rather than underlying device behavior alone. Events are documented across 11 reported care-setting categories (hospital, home, ambulatory surgery center, etc.). All figures reflect the openFDA MAUDE snapshot last refreshed on . This page is informational and is not medical advice — discuss device-safety questions with your healthcare provider.

33,206
Total Reports
503
Death Reports
2,596
Injury Reports
30,044
Malfunctions

Event Types

Malfunction 30,044 (90.5%)
Injury 2,596 (7.8%)
Death 503 (1.5%)
Other 49 (0.1%)
14 (0.0%)

Patient Outcomes

29,035 (84.7%)
Required Intervention 1,298 (3.8%)
Other 1,296 (3.8%)
Hospitalization 954 (2.8%)
R 952 (2.8%)
Death 506 (1.5%)
Life Threatening 87 (0.3%)
O 73 (0.2%)
L 41 (0.1%)
H 23 (0.1%)
Disability 5 (0.0%)
D 4 (0.0%)
S 4 (0.0%)
Congenital Anomaly 1 (0.0%)

Top Product Problems

Under-Sensing 6,812
Over-Sensing 4,558
No Audible Alarm 3,333
Premature Discharge of Battery 3,333
Signal Artifact/Noise 1,583
Device Sensing Problem 1,431
No Audible Prompt/Feedback 1,370
Migration or Expulsion of Device 990
Communication or Transmission Problem 871
Adverse Event Without Identified Device or Use Problem 777
Unable to Obtain Readings 644
Reset Problem 636
Failure to Interrogate 508
Invalid Sensing 486
Electromagnetic Interference 422
Device Operates Differently Than Expected 420
No Device Output 373
Battery Problem 363
Device Alarm System 355
Device Displays Incorrect Message 346

Yearly Trend

92
1992: 2
93
1993: 1
97
1997: 6
98
1998: 20
99
1999: 15
00
2000: 47
01
2001: 30
02
2002: 31
03
2003: 34
04
2004: 26
05
2005: 39
06
2006: 16
07
2007: 64
08
2008: 156
09
2009: 279
10
2010: 821
11
2011: 793
12
2012: 766
13
2013: 795
14
2014: 1,000
15
2015: 1,645
16
2016: 4,352
17
2017: 3,594
18
2018: 3,648
19
2019: 3,485
20
2020: 3,084
21
2021: 3,092
22
2022: 1,638
23
2023: 1,617
24
2024: 1,320
25
2025: 727
26
2026: 63

Related Entities for Detector And Alarm, Arrhythmia

Event Locations

I 21,706 (65.4%)
10,027 (30.2%)
HOSPITAL 1,287 (3.9%)
NO INFORMATION 162 (0.5%)
HOME 9 (0.0%)
OTHER 6 (0.0%)
INVALID DATA 3 (0.0%)
CLINIC - WALK IN, OTHER 2 (0.0%)
OUTPATIENT DIAGNOSTIC FACILITY 2 (0.0%)
NOT APPLICABLE 1 (0.0%)
OUTPATIENT TREATMENT FACILITY 1 (0.0%)

Compare MEDTRONIC EUROPE SARL vs PHILIPS MEDICAL SYSTEMS →

Data Source

FDA Manufacturer and User Facility Device Experience (MAUDE) database via the openFDA API. Reports are submitted by manufacturers, healthcare facilities, and patients. Report counts do not indicate a device is unsafe — higher-use devices naturally generate more reports.

Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the FDA MAUDE database. Consult a qualified professional before making decisions based on this data.