(427 days)
This Doppler can be used for the detection of average fetal heartbeat rate.
Doppler fetal heartbeat rate detector uses Doppler principle of ultrasound signal to detect the fetal heart rate. Doppler fetal heartbeat rate detector uses a split D piezoelectric transducer. A high frequency oscillator supplies a continuous high frequency voltage to one half of the split D transmitter transducer. The high frequency voltage is converted to an ultrasound acoustic wave by the transducer and is transmitted to biophysical objects through an applied coupling water based medium and moves through biophysical objects. The acoustic ultrasound is reflected by body and moving objects such as the fetal heart. The reflected ultrasound is received by the second split D receiver transducer and is converted via the piezoelectric effect into a high frequency electronic signal. The received electronic signal is amplified and detected. The result is a base band audio Doppler shifted signal which is filtered and converted to audio via a loudspeaker. At the same time the fetal heart rate is displayed on a liquid crystal arithmometer display.
The provided text details a 510(k) summary for a Doppler fetal heartbeat rate detector (K090570) manufactured by Shenzhen Bestman Instrument Co., Ltd. However, it does not contain specific acceptance criteria or an explicit study that quantitatively proves the device meets such criteria.
The document primarily focuses on establishing "substantial equivalence" to a predicate device (K040480 SONOTRAX) rather than providing detailed performance metrics for the new device. The evaluation process in such submissions often relies on demonstrating that the new device performs "as well as" or "similarly to" the predicate, implying that if the predicate met certain performance standards, the new device will as well.
Here's an analysis of the provided information based on your requested points:
1. Table of Acceptance Criteria and Reported Device Performance
Based on the provided text, there are no explicitly stated quantitative acceptance criteria or detailed reported device performance metrics that can be presented in a table. The document broadly states:
- "Doppler fetal heartbeat rate detector has been subjected to extensive safety, performance test and validations before release."
- "Final test of the Doppler fetal heartbeat rate detector includes various performance tests designed to ensure that the device meets all of its functional requirements and performance specifications."
- "The conclusions drawn from the test of the Doppler fetal heartbeat rate detector demonstrates that the device is substantially equivalent to the predicate device."
This level of detail is typical for a 510(k) summary, which often summarizes testing without providing raw data or specific performance tables.
2. Sample Size Used for the Test Set and Data Provenance
The document does not specify the sample size used for the test set or the data provenance (e.g., country of origin, retrospective or prospective nature of the data). It simply states that "various performance tests" were conducted.
3. Number of Experts Used to Establish Ground Truth and Qualifications
The document does not provide any information about the number of experts used to establish ground truth or their qualifications.
4. Adjudication Method for the Test Set
The document does not mention any adjudication method used for establishing ground truth for a test set.
5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study
The document does not indicate that a Multi-Reader Multi-Case (MRMC) comparative effectiveness study was done. There is no mention of human readers or AI assistance, nor any effect size regarding improvement with AI. This is a standalone device without AI functionality for interpretation.
6. Standalone (Algorithm Only Without Human-in-the-Loop) Performance
The device is described as a "Doppler fetal heartbeat rate detector" and an "Ultrasonic Fetal Monitor." Its function is to detect and display the average fetal heartbeat rate. The testing described (general performance and safety tests) would inherently be a standalone performance evaluation of the device itself, as it's a diagnostic tool that directly outputs a reading. While not explicitly termed "standalone performance" in the context of an AI algorithm, the device's function is standalone data acquisition and display.
7. Type of Ground Truth Used
The document does not specify the type of ground truth used. Given the nature of a fetal heartbeat detector, the ground truth would typically be:
- Physiological measurement from a reference standard: Comparison against a known, accurate method of measuring fetal heart rate. This could involve using a precise simulator or a direct physiological measurement from a live subject (animal or human) with a validated alternative method.
- Clinical observation/expert consensus: In a clinical validation, comparison against the fetal heart rate determined by experienced clinicians using established methods.
However, the text does not explicitly state which method was used.
8. Sample Size for the Training Set
The device described is a hardware-based Doppler fetal monitor. It does not appear to be an AI/machine learning algorithm that requires a "training set" in the conventional sense. The "training set" concept is not applicable here as there is no learning algorithm involved.
9. How Ground Truth for the Training Set Was Established
As the device does not employ an AI/machine learning algorithm with a "training set," this question is not applicable.
§ 884.2660 Fetal ultrasonic monitor and accessories.
(a)
Identification. A fetal ultrasonic monitor is a device designed to transmit and receive ultrasonic energy into and from the pregnant woman, usually by means of continuous wave (doppler) echoscopy. The device is used to represent some physiological condition or characteristic in a measured value over a period of time (e.g., perinatal monitoring during labor) or in an immediately perceptible form (e.g., use of the ultrasonic stethoscope). This generic type of device may include the following accessories: signal analysis and display equipment, electronic interfaces for other equipment, patient and equipment supports, and component parts. This generic type of device does not include devices used to image some relatively unchanging physiological structure or interpret a physiological condition, but does include devices which may be set to alarm automatically at a predetermined threshold value.(b)
Classification. Class II (performance standards).