The EarlySense Chair Sensing Unit is intended to be used for continuous measurement of Respiration Rate, Heart Rate and Movement, in an automatic contact-less manner, at home, hospital or clinic setting. The sensor is indicated for use in children, adolescents and adults. The operation of the EarlySense system has been studied in children (weight ≥ 10 Kg) and adults (weight <111 Kg) during sleep and resting condition. The Chair Sensing Unit can be used with bedside units that contain appropriate software (graphical interface) that can support reading and displaying EarlySense Chair Sensing Unit readings. In addition, the EarlySense System can continuously monitor oxygen saturation of arterial hemoglobin (Sp02) using pulse oximetry in pediatric (ages 2 years and older), adolescents and adults at home, hospital, or clinical settings.
Device Story
Chair Sensing Unit is a contactless accessory for EarlySense bedside units; monitors heart rate, respiration rate, and movement. Device consists of piezoelectric elements in a plate, housed within a foam cushion. Patient sits on cushion; sensor detects mechanical signals (cardioballistic effect, breathing, body movement) without direct skin contact. Signals converted to electrical, filtered, and transmitted to bedside unit. Bedside unit software processes signals to compute and display physiological parameters. Used in home, hospital, or clinic settings; operated by clinicians or patients. Provides continuous monitoring to assist healthcare providers in patient assessment; enables non-invasive tracking of vital signs during rest.
Clinical Evidence
Bench testing only. Performance evaluated using physiological signal simulators to compare Chair Sensing Unit output against predicate Bed Sensing Unit. Environmental testing included random and sinusoidal vibration assessments to ensure functionality. No clinical human trials were required for this accessory submission.
Technological Characteristics
Piezoelectric sensor elements; accelerometer; piezofilm. Components housed in foam cushion. Connectivity: wired to bedside unit. Sensing principle: conversion of mechanical signals (cardioballistic, respiratory, movement) to electrical signals. Software-based signal analysis performed at the bedside unit. No specific material standards or software architecture class provided.
Indications for Use
Indicated for continuous monitoring of respiration rate, heart rate, and movement in children (≥10 kg), adolescents, and adults (<111 kg) in home, hospital, or clinic settings during sleep or rest. Also indicated for SpO2 monitoring in pediatric (≥2 years), adolescent, and adult populations.
Regulatory Classification
Identification
A breathing (ventilatory) frequency monitor is a device intended to measure or monitor a patient's respiratory rate. The device may provide an audible or visible alarm when the respiratory rate, averaged over time, is outside operator settable alarm limits. This device does not include the apnea monitor classified in § 868.2377.
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KI33661
Section 5 510(k) Summary
# 510(K) SUMMARY
JUN 1 3 2014
EarlySense Ltd.
# EarlySense Chair Sensing Unit
# Applicant's Name:
EarlySense Ltd. 12 Tzvi St. Ramat Gan 52504, Israel Tel: +972-3-7522330 Fax: +972-3-7522340
# Contact Person:
Dalia Argaman, VP Clinical, Regulatory Affairs and QA EarlySense Ltd. 12 Tzvi Street. Ramat Gan 52504, Israel Tel: +972-3- 752-2330(ext.106) Fax: +972-3-752-2340 e-mail: Dalia.Argaman@EarlySense.com
## Date Prepared:
June 12, 2014
## Trade Name:
EarlySense Chair Sensing Unit
EarlySense Ltd. 12 Tzvi street, Ramat Gan, 52504, ISRAEL Tel: +972 3 7522330 (ext.106); Fax: +972 3 7522340; E-mail: Dalia.Argaman@Earlysense.com
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# Classification Name:
Accessory for Breathing Frequency Monitor
Class: II
## Regulation Number:
21 CFR Sec. 868.2375
## Product Code:
BZQ, DRT
### Predicate Device:
Bed Sensing Unit of EarlySense System (K120465)
### Reason for Submission:
A traditional 510{k) is submitted for the addition of the optional accessory (Chair Sensing Unit) to be used with cleared EarlySense bedside units (K120465).
### Intended Use/Indications for Use:
The EarlySense Chair Sensing Unit is intended to be used for continuous measurement of Respiration Rate, Heart Rate and Movement, in an automatic contact-less manner, at home, hospital or clinic setting. The sensor is indicated for use in children, adolescents and adults. The operation of the EarlySense system has been studied in children (weight ≥ 10 Kg) and adults (weight <111 Kg) during sleep and resting condition. The Chair Sensing Unit can be used with bedside units that contain appropriate software (graphical interface) that can support reading and displaying EarlySense Chair Sensing Unit readings. In addition, the EarlySense System can continuously monitor oxygen saturation
EarlySense Ltd. 12 Tzvi street, Ramat Gan, 52504, ISRAEL Tel: +972 3 7522330 (ext.106); Fax: +972 3 7522340; E-mail: Dalia. Argaman@Earlysense.com ·
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of arterial hemoglobin (Sp02) using pulse oximetry in pediatric (ages 2 years and older), adolescents and adults at home, hospital, or clinical settings. .
### Device Description
EarlySense is submitting a new accessory for contactless measurement of heart, respiratory rate and motion, the Chair Sensing Unit. The Chair Sensing Unit, similar to its predicate, the EarlySense Bed Sensing Unit cleared as part of previous EarlySense system submissions (K070375, K082465, K092062, K120465), is intended for continuous measurement of Heart Rate, Respiration Rate and motion while the patient is resting.
The EarlySense Chair sensing unit is comprised of the following components:
1. Sensor: that includes piezoelectric elements incorporated into a plate
2. A cushion made of foam into which the sensor is inserted into - so not to be touched by the patient.
The Chair sensing unit should be connected to a bedside unit that receives and analyzes the signals from the Chair sensing unit to measure and display heart rate, respiratory rate and motion.
# Similarities and differences in technological characteristics of Chair Sensing Unit and Bed Sensing Unit (predicate)
#### Similarities:
- Similar piezoelectric sensor is used.
-The sensor performs similar functions as the Bed Sensing Unit does
-The way of receiving, analyzing, sampling and sending signals to the Bedside unit is similar to its predicate, Bed Sensing Unit
> EarlySense Ltd. 12 Tzvi street, Ramat Gan, 52504, ISRAEL Tel: +972 3 7522330 (ext.106); Fax: +972 3 7522340; E-mail: Dalia.Argaman@Earlysense.com
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#### Differences:
-Accelerometer, rod and additional piezoelectric sensor (piezofilm) were added to the Chair Sensor
-Chair Sensor is placed under a specially-designed cushion, in order to avoid the direct contact between the patient and the sensor and to achieve the correct positioning of the sensor on the chair.
### Substantial Equivalence
The EarlySense Chair Sensing Unit is similar to its predicate, the EarlySense Bed Sensing Unit. It has similar intended use and indications for use. The fundamental technology and mode of operation of the Chair sensing unit are similar as those of the Earlysense Bed Sensing unit. Similar to the cleared Bed Sensing Unit that is placed under the bed mattress and does not contact the patient, the Chair sensor is inserted into a specific cushion that mimics the bed mattress, so the chair sensor does not touch the patient. The Chair Sensing Unit performs similar functions as the Bed Sensing unit-in a contactless manner it monitors heart, respiration rate and motion. Similar to its predicate, the Earlysense Bed Sensing unit, the mechanical signals that are detected by the piezoelectric element of the sensors (Bed or Chair) are converted into an electric signal, which is then sampled and filtered and transferred to the EarlySense Bedside Unit, in order to be analyzed by the System's software to provide the respiration rate (RR), heart rate (HR), and movement rate. The system's detection algorithms differentiate between large body movements, breathing movements and the cardioballistic effect, and thus compute the continuous heart and respiration rates and the body movement.
The presented additional accessory, Chair Sensing Unit has similar functionality, the similar indications for use, technology, mode of operation and performance specifications as the Bed Sensing Unit.
> EarlySense Ltd. 12 Tzvi street, Ramat Gan, 52504, ISRAEL Tel: +972 3 7522330 (ext.106); Fax: +972 3 7522340; E-mail: Dalia.Argaman@Earlysense.com
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# Verification and Validation Activities:
The Chair Sensing Unit was subject to the following verification and validation tests to ensure correct performance:
1. Risk analysis
2. Bench Testing:
- Performance tests were performed with signals simulating physiological patient signals to evaluate the measurement and compare those to the predicate device to show equivalent performance.
- Theoretical assessment and bench tests were performed to assess the magnitude and effect of external sources of vibration and their effect on the chair sensing unit's functionality.
- Environmental testing including: Random vibration (Non-Operational test), Sinusoidal vibration (Variable Frequency Operational)
3. Complete software verification and validation testing performed to ensure proper functionality.
In addition, the Chair Sensing Unit as part of the EarlySense System was subject to complete set of testing (electrical safety, EMC and environmental testing) to ensure proper functionality.
The results of the bench tests showed, that the signals as detected by the chair sensing unit are similar to those that are detected by the predicate EarlySense Bed Sensor and thus the performance of the Chair Sensing Unit is equivalent to the performance of the Bed Sensing Unit and the performance of the chair sensor is not affected by the new design that includes insertion of the sensor into a cushion (rather than insertion of the sensor under a bed mattress). Therefore, it was concluded that the Chair Sensing Unit may be considered to be substantially equivalent to the previously cleared EarlySense Bed Sensing Unit (K120465).
> EarlySense Ltd. 12 Tzvi street. Ramat Gan. 52504, ISRAEL Tel: +972 3 7522330 (ext.106); Fax: +972 3 7522340; E-mail: Dalia.Argaman@Earlysense.com
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Image /page/5/Picture/1 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo consists of a circular seal with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter. Inside the circle is an abstract symbol resembling an eagle or bird in flight, composed of three curved lines.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
June 13, 2014
,
EarlySense Ltd. Ilana Shvorin RA Specialist 12 Tzvi St. Ramat Gan, Israel 52504
Re: K133661
Trade/Device Name: EarlySense Chair Sensing Unit Regulation Number: 21 CFR 868.2375 Regulation Name: Breathing frequency monitor Regulatory Class: II Product Code: BZQ, DRT Dated: May 7, 2014 Received: May 15, 2014
Dear Ms. Shvorin:
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. 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,
.
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Page 2 - Ms. Shvorin
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 803); 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.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Small Manufacturers, International and Consumer Assistance at its tollfree number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportalProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
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 (301) 796-7100 or at its Internet address http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Tejashri Purohit-Sheth. M.D.
Tejashri Purohit-Sheth, M.D. Clinical Deputy Director
DAGRID/ODE/CDRH FOR
Erin I. Keith, M.S.
Director
Division of Anesthesiology, General Hospital, Respiratory, Infection Control and Dental Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
Sincerely yours.
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#### DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration
Indications for Use
Form Approved: OMB No. 0910-0120 Expiration Date: January 31, 2017 See PRA Statement below.
#### 510(k) Number (if known) K133661
Device Name EarlySense Chair Sensing Unit
#### Indications for Use (Describe)
The EarlySense Chair Sensing Unit is intended to be used for continuous measurement of Respiration Rate, Heart Rate and Movement, in an automatic contact-less manner, at home, hospital or clinic setting. The sensor is indicated for use in children, adolescents and adults. The operation of the EarlySense system has been studied in children (weight ≥ 10 Kg) and adults (weight <11 Kg) during sleep and resting condition. The Chair Sensing Unit can be used with bedside units that contain appropriate software (graphical interface) that can support reading and displaying EarlySense Chair Sensing Unit readings. In addition, the EarlySense System can continuously monitor oxygen saturation of arterial hemoglobin (SpO2) using pulse oximerry in pediatric (ages 2 years and older), adolescents and adults at home, hospital, or clinical settings.
Type of Use (Salect one or both, as applicable)
Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
PLEASE DO NOT WRITE BELOW THIS LINE -- CONTINUE ON A SEPARATE PAGE IF NEEDED.
# FOR FDA USE ONLY
Concurrence of Center for Davices and Radiological Health (CDRH) (Signature)
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Anva C. Harry -S 2014.06.12 12:17:48 -04'00'
This section applies only to requirements of the Paperwork Reduction Act of 1995.
*DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW."
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, galher and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, Including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRASIaff@ida.hhs.gov
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FORM FDA 3881 (1/14)
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.