CLINICAL THERMOMETER/MODEL ZSDT-XXXX DIGITAL THERMOMETER AND ZSET-XXX INFRARED THERMOMETER
K070578 · Zen Strong Medical Technology Co., Ltd. · FLL · Jul 11, 2007 · General Hospital
Device Facts
Record ID
K070578
Device Name
CLINICAL THERMOMETER/MODEL ZSDT-XXXX DIGITAL THERMOMETER AND ZSET-XXX INFRARED THERMOMETER
Applicant
Zen Strong Medical Technology Co., Ltd.
Product Code
FLL · General Hospital
Decision Date
Jul 11, 2007
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 880.2910
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The clinical thermometer / model ZSDT-XXX digital thermometer measures the body temperature of a patient by means of a sensor (transducer) coupled with an electronic signal processor and digital LCD (display) unit. The device is reusable and intended for oral, rectal, or armpit temperature measurement for home use on people at all ages. The clinical thermometer / model ZSET-XXX infrared thermometer are the battery-operated electronic devices with intended use of measuring body temperature from the auditory canal of a patient by means of an infrared sensor coupled with electronic signal amplification, conditioning and a digital LCD (display) unit. The device is a reusable and intended for home use on people at all ages.
Device Story
Clinical thermometers (ZSDT-XXX digital; ZSET-XXX infrared) measure body temperature for home use. ZSDT-XXX uses thermistor sensor for oral, rectal, or axillary readings; ZSET-XXX uses thermopile sensor for auditory canal readings. Both devices utilize ASIC-controlled circuits for signal processing and display results on LCD. Battery-operated (1.5V/DC for digital; 3.0V/DC for infrared) with low-battery detection. Devices are reusable. Healthcare providers or patients use output to monitor temperature; aids in clinical decision-making regarding fever management.
Clinical Evidence
Clinical report for measurement accuracy provided for ZSET-XXX per ASTM E1965-2002 requirements. Bench testing performed for both models per ASTM E1112-00, ASTM E1965-2002, and EN 60601 series standards.
Technological Characteristics
ZSDT-XXX: Thermistor sensor, ASIC-controlled circuit, LCD, 1.5V battery. ZSET-XXX: Thermopile sensor, reference thermistor, ASIC-controlled circuit, LCD, 3.0V battery. Hard-wired control (non-programmable). Standards: ASTM E1112-00, ASTM E1965-2002, EN 60601-1, EN 60601-1-1, EN 60601-1-2.
Indications for Use
Indicated for body temperature measurement in patients of all ages. ZSDT-XXX: oral, rectal, or axillary use. ZSET-XXX: auditory canal use. Intended for home use.
Regulatory Classification
Identification
A clinical electronic thermometer is a device used to measure the body temperature of a patient by means of a transducer coupled with an electronic signal amplification, conditioning, and display unit. The transducer may be in a detachable probe with or without a disposable cover.
Special Controls
(1) Device is not a clinical thermometer with telethermographic functions;
(2) Device is not a clinical thermometer with continuous temperature measurement functions; and
(3) Appropriate analysis and testing (such as that outlined in the currently FDA-recognized editions, as appropriate, of ISO 80601-2-56, “Medical electrical equipment—Part 2-56: Particular requirements for basic safety and essential performance of clinical thermometers for body temperature measurement,” or ASTM E1965, “Standard Specification for Infrared Thermometers for Intermittent Determination of Patient Temperature,” or ASTM E1112, “Standard Specification for Electronic Thermometer for Intermittent Determination of Patient Temperature,” or ASTM E1104, “Standard Specification for Clinical Thermometer Probe Covers and Sheaths”) must validate specifications and performance of the device.
Predicate Devices
Mesure digital thermometer, model ST8A3C (K042013)
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# 510(K) SUMMARY
K070578
## JUL 1 1 2007
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of SMDA 1990 and 21 CFR 807.92.
The assigned 510(k) number is: Submitter's Identifications: Zen Strong Medical Technology Co., Ltd. 6F No. 88, Ning Jin St., Keelung, Taiwan, R.O.C.
Contact: Cheng Roei-Shenq Date of Summary Preparation: February 15, 2007
- 1. Name of the Device: Clinical thermometer / Model ZSDT-XXX Digital thermometer and ZSET-XXX Infrared thermometer; where "XXX" means the designation of different device housing.
## 2. Device classification:
Trade/Device Name: Clinical thermometer / Model ZSDT-XXX Digital thermometer and ZSET-XXX Infrared thermometer; where "XXX" means the designation of different device housing. Requlation Number: 880.2910 Regulation Name: Clinical Electronic Thermometer Regulatory Class: II
## 3. Device Description:
Product Code: FLL
#### A> ZSDT-XXX Digital thermometer.
The digital clinical thermometer, models ZSDT-XXX Series, are the electronic thermometers by using a themistor as the temperature sensor. The signal of sensor is calculated and displayed by an ASIC (Application Specific IC) - controlled circuit, which is considered the hard-wire control instead of programmable control.
From the construction point of view, the digital thermometer comprises of a thermistor for measuring sensor, measuring circuit for the measurement of temperature, a buzzer for sounding effect, an ASIC for calculating, and LCD for displaying the measuring temperature digitally for which the thermistor contacts.
This system uses a 1.5V/DC AG3 or SG3 Alkaline battery for operation of complete system whenever the battery is low, the ASIC circuit will detect the low battery condition automatically. and displays 'Low battery' in LCD display. Regarding the performance of ZSDT-XXX, it was designed and verified according to the US standard ASTM E 1112-00.
#### B> ZSET-XXX Infrared thermometer.
The infrared thermometer, models ZSET-XXX, are the handheld electronic thermometers that measures the temperature through the opening of the auditory canal by using a thermopile as the temperature sensor. The signal of sensor is calculated and displayed by an ASIC (Application Specific IC) - controlled circuit, which is considered the hard-wire control instead of programmable control.
From the construction point of view, the ear thermometer comprises of a thermopile for the measuring sensor, a reference thermistor for comparison of temperature, a buzzer for sounding effect, an ASIC for calculating, and LCD for displaying the measuring temperature digitally for which the thermopile sensor detect the ear canal temperature through the infrared.
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This system uses a 3.0 V DC battery(2xAAA batteries) for operation of complete system whenever the battery is low, the ASIC circuit will detect the low battery condition automatically, and displays 'Low battery' in LCD display. Regarding the performance of ZSET-XXX, they were designed and verified according to the US standard ASTM E 1965-2002.
- 4. Intended Use:
...
The clinical thermometer / model ZSDT-XXX digital thermometer measures the body temperature of a patient by means of a sensor (transducer) coupled with an electronic signal processor and digital LCD (display) unit. The device is reusable and intended for oral, rectal, or armpit temperature measurement for home use on people at all ages.
The clinical thermometer / model ZSET-XXX infrared thermometer are the battery-operated electronic devices with intended use of measuring body temperature from the auditory canal of a patient by means of an infrared sensor coupled with electronic signal amplification, conditioning and a digital LCD (display) unit. The device is a reusable and intended for home use on people at all ages.
- 5. Comparison to the 510(k) Cleared Device (Predicate Device):
- The digital thermometer model ZSDT-XXX is to be compared to the Mesure digital thermometer, model ST8A3C (K042013).
- The infrared thermometer model ZSET-XXX is to be compared to the Mesure ear thermometer, model ST613C (K011254).
- 6. Discussion of Non-Clinical Tests Performed Determination of Substantial Equivalence are as follows: Compliance to applicable voluntary standards includes ASTM E1112: 2000, ASTM E1965: 2002, as well as EN 60601-1, EN 60601-1-1, and EN 60601-1-2 requirement. All of the required conformity reports were included on the 510(k) submission documents.
- 7. Discussion of clinical report for measurement accuracy: The clinical report for the measurement accuracy comparison as required by ASTM E1965: 2002 is provided for ZSET-XXX and ST613C.
- 8. Conclusions
The Clinical thermometer / Model ZSDT-XXX Digital thermometer and ZSET-XXX Infrared thermometer has the same intended use and technological characteristics as the cleared device of Mesure model ST8A3C digital thermometer (K0402013) and ST613C ear thermometer (K011254). Moreover, verification and validation tests contained in this submission demonstrate that the difference in the submitted demonstrate that the difference in the submitted models could maintain the same safety and effectiveness as that of cleared device.
In the other words, those engineering difference do not: (1) affect the intended use or (2) alter the fundamental scientific technology of the device. Therefore, it is reasonable to conclude that Clinical thermometer / Model ZSDT-XXX Digital thermometer and ZSET-XXX Infrared thermometer one substantially requirement to the chosen predicate devices.
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Image /page/2/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a stylized eagle or bird-like symbol with flowing lines, representing the department's mission. The text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" is arranged in a circular fashion around the symbol. The logo is in black and white.
JUL 1 1 2007
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
Mr. Cheng Roei-Sheng Official Correspondent and President Zen Strong Medical Technology Company, Ltd. 6F No. 88, Ning Jing Street Keelung, R.O.C. TAIWAN
Re: K070578
> Trade Name: Clinical Thermometer, Models ZSDE-XXX and ZSET-XXX Regulation Number: 21 CFR 880.2910 Regulation Name: Clinical Electronic Thermometer Regulatory Class: Class II Product Code: FLL Dated: June 19, 2007 Received: June 19, 2007
Dear Mr. Roei-Sheng:
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 (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. 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.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to such 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.
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#### Page 2 - Mr. Roei-Sheng
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); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
This letter will allow you to begin marketing your device as described in your Section 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Center for Devices and Radiological Health's (CDRH's) Office of Compliance at (240) 276-0115. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). For questions regarding postmarket surveillance, please contact CDRH's Office of Surveillance and Biometric's (OSB's) Division of Postmarket Surveillance at 240-276-3474. For questions regarding the reporting of device adverse events (Medical Device Reporting (MDR)), please contact the Division of Surveillance Systems at 240-276-3464. You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (240) 276-3150 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely yours,
Chiu Lin, Ph.D.
Division of Anesthesiology, General Hospital, Infection Control, and Dental Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications For Use
ﺎﻧﻪ: ﻻﺗ
510(k) Number (if known):
Device Name: Clinical thermometer / Model ZSDT-XXX Digital thermometer and ZSET-XXX Infrared thermometer; where "XXX" means the designation of different housing ..
Indications For Use:
The clinical thermometer / model ZSDT-XXX digital thermometer measures the body temperature of a patient by means of a sensor (transducer) coupled with an electronic signal processor and digital LCD (display) unit. The device is reusable and intended for oral, rectal, or armpit temperature measurement for home use on people at all ages.
The clinical thermometer / model ZSET-XXX infrared thermometer are the battery-operated electronic devices with intended use of measuring body temperature from the auditory canal of a patient by means of an infrared sensor coupled with electronic signal amplification, conditioning and a digital LCD (display) unit. The device is a reusable and intended for home use on people at all ages.
Prescription Use (Part 21 CFR 801 Subpart D) Over-The-Counter Use (21 CFR 807 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
OR
Concurrence of CDRH, Office of Device Evaluation (ODE)
| Division Sign-Off | |
|----------------------------------------------|--|
| Division of Anesthesiology, General Hospital | |
| Infection Control, Dental Devices | |
| 510(k) Number: | K070578 |
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| | fa Chula PD |
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| | 7/11/07 |
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Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.
