K-numberK243339
Device nameWiTOF
ApplicantIdmed
Product codeKOI
Device classClass II
Decision dateJun 23, 2025
DecisionSubstantially Equivalent
Regulation868.2775
AI Summary extracted from FDA summary PDF · never regenerated
Intended use

The WiTOF is a neuromuscular transmission (NMT) monitoring station used in operating rooms, recovery rooms, and intensive care units to measure neuromuscular blockade in adult patients receiving anesthetic agents. It uses electrical nerve stimulation and a three-dimensional accelerometer in a thumb splint to objectively and subjectively monitor the patient's muscle response and curare level.

Technological characteristics

Both devices use acceleromyography with surface electrodes and a thumb-mounted accelerometer sensor. The WiTOF differs by offering wireless data connection (versus cable connection in ToFscan) and performing 100 Hz tetanic stimulation (versus 50 Hz in the predicate). Both support TOF, PTC, ATP, DBS, and single-twitch stimulation modes with identical current output specifications (0–60 mA constant current, 200 microsecond monophasic pulses, maximum 300V).

Test standards cited

IEC 60601-1 (general safety), IEC 60601-1-2 (EMC), IEC 60601-2-10 (specific safety for nerve stimulators), and ISO 10993-1 (biocompatibility). Software was evaluated as moderate-concern per FDA guidance on premarket submissions for software in medical devices.

Substantial equivalence argument

The devices share identical product code (KOI), regulation (21 CFR 868.2775), and indication for use (NMT monitoring in adult patients under anesthesia). Both use the same acceleromyography principle with accelerometer sensors and surface electrodes. The wireless connection difference does not affect clinical performance per software verification and validation testing. The 100 Hz tetanic stimulation addition is supported by software testing and clinical literature showing it is standard practice. No new safety or effectiveness questions arise because the devices perform comparably in the same clinical conditions with the same user population.

Extracted by AI from the official FDA summary PDF →
Source

View the full FDA submission: accessdata.fda.gov

Researching this as a predicate?
Want a transparent AI-ranking score, AI-discovered related predicates, ongoing safety and warning-letter monitoring, full predicate chain lineage, and a drafted SE rationale — all saved to your own project? That's what an account adds.
Start free trial →

Everything you need for a 510(k) submission. Nothing you don't.

14-day free trial. No setup. Cancel anytime.

Start free trial →
Building an AI or ML-enabled device? Predicate search, PCCP tracking, and AI-specific FDA intelligence — built exclusively for AI/ML devices. Try AIFDA Intel →