Sonio Detect is a trademark of Sonio.

All other trademarks and registered trademarks are the property of their respective holders.

All rights reserved. U.S. Federal law restricts this device to sale by or on the order of physicians.

The screenshots in this publication may deviate from the software installed accessible on the web browser. All patient data are fictitious.

No part of this guide may be reproduced without the express permission of Sonio.

Manual Name: Sonio Detect

Manual identification: DOC208-User manual for Sonio Detect

Revision: 2

Date: 2022-11

This document is originally written in English.

Manual presentation and symbols

Safety warning types


Warning: Warns you to avoid potential use errors by following the safety instructions precisely.


Note : Emphazises important information


Symbol indication the need for the users to consult the instructions for use


Name and address of the manufacturer


Batch code to identify the manufacturer’s batch or lot code of the medical device.

Access to the User Manual on the software

Access to the User Manual can be done from the left menu navigation panel and clicking at the bottom left of the panel on “more options” and then “User Manual”.

Software identification label embedded in the software


How to order a paper version

The User Manual is provided in electronic form.

A paper copy of the user manual can be ordered at no additional cost. Please send a request at [email protected]/old with the revision of the user manual you are requesting.

In application of the EU Commission Regulation on electronic instructions for use of medical devices, your request should be processed within seven days.


Sonio Detect is an intuitive software and does not require specific training prior its use.

We offer however support for the set up of the solution (remotely or on-site). User is assisted in :

  • configuring the Ultrasound machine
  • installing and configuring the Sonio Uplink
  • accessing the web-app on a browser and defining preferences
  • defining the different list of views and protocols in the web-app

Revision History

Rev 1Oct 2022Initial release
Rev 2Nov 2022Update for version 1 of the software
Rev 3Dec 2022Removed Quality Criteria “midline falx perpendicular…” following Trello ticket #2091

Safety and regulatory instructions

Intended purpose/Indications for use     

Sonio Detect is intended to analyze fetal ultrasound images and clips using machine learning techniques to automatically detect views, detect anatomical structures within the views and verify quality criteria of the views.

The device is intended for use as a concurrent reading aid during the acquisition and interpretation of fetal ultrasound images.


Sonio Detect is not intended for use for multiple pregnancies.

Intended Users: 

Sonio Detect is intended to be used by qualified, trained healthcare professional personnel in a professional prenatal ultrasound (US) imaging environment (this includes sonographers, MFMs, OB/GYN, and  Fetal surgeons).

Target population: 

Intended patients are pregnant women from 11 to 37 weeks gestational age undergoing fetal/obstetric ultrasound examination.

Reporting of serious incident:

Any serious incident that has occurred in relation to the device should be reported to Sonio and the competent authority of the Member State in which you are established.

A Serious incident is any incident that has resulted directly or indirectly, may have resulted in or likely to result in:  

(a) the death of a patient, user, or other person, 

(b) a serious temporary or permanent deterioration in the health of a patient, user or other person, 

(c) a serious threat to public health. 

Warning and Notice


Warning: The device is intended for use as a concurrent reading aid during the acquisition and interpretation of fetal ultrasound images.


Note : The automated detection of views and quality criteria suggested by Sonio Detect are based on the images/clips you sent through the Sonio Edge/Uplink and those information need to be accurate and complete.

Data protection and security

All data are compliant with RGPD and HIPAA regulation. Data transmission are also compliant with applicable regulations (RGPD, HIPAA, HDS).

All data within the Sonio Cloud is encrypted in transit and at rest.

Network Requirements

The device on which the Sonio application is used must be connected to the internet

and be able to access https://us.sonio.app (or any other configured domain). There is no requirement to be on any specific network.

The recommended web browser to use Sonio Detect is: Google Chrome. Please make sure your web browser is updated regularly to the latest version.

Hardware Requirements

To access the web application on https://us.sonio.app (or any other configured domain), for minimum hardware requirements please refer to the system requirements defined for google chrome browser : https://support.google.com/chrome/a/answer/7100626?hl=en

To install the Sonio Edge software please refer to the following minimum hardware requirements :

  • Window Requirements:
    • Windows 10 or more recent OS
    • 1GB of disk space necessary for processes and data files
    • 50MB of free RAM
    • Computer with dual core CPU cores (or better)
  • Mac Requirements:
    • OS X 10.6 or more recent
    • 1GB of disk space necessary for processes and data files
    • 50MB of free RAM
    • Computer with dual core CPU (or better)

0. Login to the application

0.1 Is this my first time logging in?

  • You should have received an invitation to create your account
  • Click on the link, fill in all the fields, then click on “Register”.
    • Note that your password must be strong enough to ensure the security of your account.
      Your password :
      • must contain at least 8 characters
      • not contain your surname or first name or date of birth
      • must not use a sequence of numbers (ex: 123456)
  • If the link does not work or you encounter difficulties setting up your account please contact us at [email protected]/old so that we can send you a new invitation link.

0.2 How to connect to Sonio?

  • Access the Sonio application from any web browser by entering the following address: https://us.sonio.app or any other configured domain
  • Enter your email address (the same as the one you used to create your account)
  • Enter your password
  • Click on Login

0.3 How to recover your password?

  • Go to https://us.sonio.app or any other configured domain
    • Click on “Password forgotten?”.
  • Enter the email address you used to create your account
  • Validate and you will receive a link in your mailbox
  • Access to your mailbox – make sure to check your spam folder in case you can’t find the email. Then; click on the link in the email.
  • Set a new password

1. Install Sonio’s Edge software

For Sonio Detect to receive images in real-time, a Sonio Edge software must be installed on a computer connected to the same network as the Ultrasound (US) machine.

The Sonio Edge software is a small application that needs to be installed on any PC or Mac. This light-weight software is responsible for receiving the images from the Ultrasound Machine and then proxying it to Sonio’s cloud.

Network Requirements

  1. Sonio Edge must be installed on a PC or Mac (host) which is on the same network as the Ultrasound Machine
  2. A network port (by default 4001 – but configurable) on the host should be available and reachable within the local network
  3. The host should be connected to the internet and be able to access https://us.sonio.app or any other configured domain

2. Menu

Once logged in the web application, you have access to a menu.

The menu is accessible from the top left part of the screen clicking on the icon ≡

2.1 Access to current exam

By clicking the “Examination” button you are redirected to your current active examination screen


2.2 End current examination

The easiest way to end your current exam is to finish your exam from your Ultrasound machine, this will send a DICOM SR (structured report) to Sonio Edge and automatically trigger the end of the examination on your web application.

You can always at any time manually end the current examination on Sonio Detect by clicking on “End examination” then “End the examination anyway” to confirm your choice.

Capture d’écran 2022-10-17 à 16.07.01.png

2.3 Start a new examination

You can start a new examination

  • at any time through the menu by clicking on a type of exam / protocol
  • by clicking on the protocol you’d like to start under the “new exam” section at the end of and an exam (top right section)
  • (the simplest way) by directly sending a new DICOM instance (image or clip) from a new exam from your Ultrasound machine. You will then have to choose the protocol to follow (by default selected to “ND” <=> probe icon).

The type of exam represented by a probe icon “ND” is dedicated to exams without any specific protocol.

Capture d’écran 2022-10-17 à 15.21.56.png

2.4 User details and options/preferences

User basic information (name and site on which you logged in the application with) are immediately shown at the bottom left of the opened menu panel.


By clicking on more options you can access :


2.4.1 Site Selection

If you have access to multiple sites you can select your site from here

2.4.2 Preferences

Preferences panel enables you to define your

  • default language to be used in the web-app
  • preferred guideline “AIUM”, “ISUOG”, “CNEOF” : if not set to CNEOF this will have no effect on your software. CNEOF guideline enables you to see the CNEOF logo on the views that are specific to CNEOF requirements.
  • preferred date format and units to be used in the web-app
  • Zoom level : selecting 5 or 3 columns will impact the number of visible columns of views on a given Exam page overview.
    • Having 3 columns enables user to zoom in the exam page to have a clearer list of each view at first glance
    • Having 5 columns enables user to have a quicker overview of all the exam they are performing
  • Check for updates – to ‘force’ the restart of the Sonio web app and ensure you have the latest version, you can “Restart Sonio” manually from there.

2.4.2 Logout

You can manually logout of Sonio from the “more options” panel.

2.5 Access to past exams

You can at any time access the list of past exams through the menu item : “My exams”

You then see a detailed list of all the exams performed with Sonio Detect and can easily re-access it for review. It shows :

  • the patient name ‘Anonymous’ in this example
  • the total number of medias (images & videos) received in the exam
  • the date at which the exam was created
  • the time at each the exam was created

3. Examination

3.1 Start a new exam

3.1.1 Automatically, by simply taking an image with your ultrasound machine

You can automatically start an examination by taking the first image of your examination from the Ultrasound machine.

As soon as an image is sent to Sonio, it will appear on your Sonio account. The by default type of exam selected will be a type of exam without any protocol (also called “ND”), represented by the probe icon.

You can select and change the protocol at any moment of the examination. Sonio will relaunch detection of each images already sent. Detected images will be automatically associated to the corresponding view while non-detected images will be added to the “To annotate” section.

3.1.2 Manually pre-selecting the protocol through the menu

You can start a new examination through the menu :

  • Click on the menu ≡
  • Select the protocol of the new exam. Note that the type of exam represented by a small probe can be selected for an exam without any specific protocol (“ND”).
Capture d’écran 2022-10-17 à 15.21.56.png

3.1.3 From exam page, selecting the protocol once the previous exam is finished

Once the examination is finished (manually or by receiving a DICOM SR), a panel appears at the top of the screen, from which you can directly start a new examination by selecting the type of exam.

Capture d’écran 2022-10-17 à 16.21.02.png

3.2 Exam page


3.2.1 The protocol’s visual checklist & views

The visual checklist is represented by a list of views displayed in a defined order.

Each rectangle represents an image of a specific view, expected to be captured to fully complete the exam accordingly with your custom protocols.

A view can be placed several times in the checklist (if more than one image is expected for this view for instance or if the view describe something that requires multiple images to be documented as part of your custom protocol).

The last view represented by a circle is dedicated to all the images in addition to the predefined protocol.


The stars icon next to the view’s title indicates that it can be detected by Sonio Detect even if the image sent does not contain any annotations or biometries.

It means a Detection Confidence score will be evaluated to show how confident we are that the image associated to the given view is well associated.


When an image is associated with such a view, the score is visible from the exam overview on the given view :


When the score is below the Detection Confidence threshold both the title and a left bar on the view will be highlighted in yellow. If the score is 0% then no score is shown (ex with the Femur view on the right where the image is not at all detected as a Femur hence a score at 0%)


When one or more of the mandatory Quality Criteria are not verified then the number of non-verified quality criteria will show on the bottom left of the view and both the title and left part of the view will be highlighted in yellow :


3.2.2 Type of exam / Protocol selection

You can select the protocol of your exam by clicking on the arrow next to the already selected protocol :


This will show the list of available protocols and enable you to change the protocol of the ongoing exam :

  • If the examination started automatically after reception of the first image, the “ND” (probe icon) mode is selected by default. Clicking on the desired protocol will trigger Sonio’s Detection on images already uploaded.
  • If the examination has been manually started (through the menu or from exam page once the previous exam is finished) the protocol selected will be kept. You can still edit it.

3.2.3 Exam overview visualisation parameters


Through the filters dropdown list, you can select the following parameters :


Visualisation parameters allow you to :

  • Filter the images displayed
    • All : Views to which a media have been associated and views to which no image have been associated (selected by default)
    • Captured images : Only views to which a media has been associated
    • Remaining images : Only views to which no media has been associated
    • Unverified images : Only views on which the detection confidence is below the threshold or where a quality criteria that could be automatically verified was not verified.
  • Sort the views displayed
    • By protocol : Views sorted according to the pre-defined visual checklist
    • By acquisition : Images sorted by acquisition time (ascendant)

3.2.4 Left navigation bar

The navigation bar at the left of the exam screen gives you access to 3 sections :

  • Images : Images uploaded detected by Sonio, ie. associated to a view in the checklist
  • To annotate : Images uploaded not detected with a high enough confidence detection score by Sonio – a confirmation on the associated view is needed to finalize annotation of the image
  • Clips : Video Clips uploaded during the examination are accessible in this section and can be played back.

Note that if any section is empty it will be faded out

3.2.5 Pause mode


The Pause mode pauses the Sonio detection.

When activated, any upcoming image is associated to the view “In addition to the protocol” at the end of the exam.

3.3 Perform an exam

3.3.1 Reception of a media

Upon media reception, it will be processed by Sonio Detect in order to associate it to a view of the protocol, and fill, step by step, the selected protocol (or visual checklist).

3.3.2 Upload of an image

  • If the image is detected as a view part of your visual checklist it will be automatically matched with the corresponding view
  • If the image is detected as a view not part of your visual checklist it will be automatically matched with the “In addition to your protocol” view at the end of your exam.
  • If no view is detected on the image received, then it is added to the “To annotate” queue where you can easily associate it to the appropriate view.
  • If the image contains 2 images
    ex with a “split image” :
From Slite.com
  • If none of the 2 images are detected as a view, the image is added to the section “To annotate”
  • If only one of the image is detected, it is matched to the corresponding view
  • If two views are detected (one for each image)
    • and one of the views on the protocol is specified to contain those two, then it is matched to the corresponding double view.
    • and the 2 views are in the protocol but not as double views, then image is not matched and listed as “To annotate”
    • and only 1 view is in the protocol, then it is matched to this view

3.3.3 How do we detect and automatically match your image to a given view in your protocol?

  • First, the annotations / labels on the image are read
    • When the image contains a label/annotation/accronym written on it, our algorithms are able to read it.
      • If this label/colorimetry is indicating the image is a 3D or doppler then it will help narrow down the possible list of views to which the image may correspond to.
      • If the label is direclty the biometry or title of what the image corresponds to, then, once read, we run this detected label against a dictionnary that has possible accronyms on one side, and corresponding views on the other.
        Note that this dictionnary can be enriched to support your custom annotations if you request it to your Sonio administrator or contact us at [email protected]/old
      • If the detected label corresponds to one available in the dictionnary, then if the associated view is one of the views of your protocol we will automatically match it to your protocol’s view. If not, it is added to “in addition to your protocol” view.
        In addition to that, if the label fully matches the one from the dictionnary (there are no multiple labels on the image) then we will replace the view’s title with the detected one from our dictionnary to simplify your overview yo better match your way of annotating images.
  • Sonio Detect looks at the image captured
    • There are views Sonio Detect can detect without any labels/annotations (see section 4).
    • If you do not or did not annotate/label those images then we will detect them and automatically associate them to the corresponding view in your routine.
    • If this view is not available in your routine, the image will be matched to the “In addition to your protocol” view
    • After an image has been associated to a view thanks to the “reading” step, if the view is part of the eligible 20 views scope, we will analyze it and provide a detection confidence based on that association. This can also help you spot wrongly annotated images !

3.3.4 Upload of a video clip

When receiving a clip (also called “cineloop” , “video” , “loop”) :

  • Sonio Detect adds the clip to the “Clip” section on the exam page (last of the 3 available sections)
  • If one or several images corresponding to views from your protocol are detected as part of the clip,
    • all the images with a high detection confidence are considered
    • out of these images, the one that has the most ‘verified’ quality criteria will be selected and extracted (to see the detailed list of quality criteria see section 6).
      • In case multiple images meet the same number of ‘verified’ quality criteria, Sonio Detect will select the image with the highest weighted mean of the scores of detection confidence in each quality criteria (the weights are “1” for a quality criteria considered as mandatory and “0.5” for those considered as non-mandatory — see section 3.3.5 3b for more details on what mandatory/non-mandatory quality criteria are).
  • If no images corresponding to views part of the protocol are detected, no association will be done
  • You can decide to extract any image/frame out of the video as if it were an independant image sent from your ultrasound machine by clicking on the “Capture” button on the video playback.
  • Upon pressing “Capture” the image will be sent to Sonio Detect and analyzed as any other image would. If detected through its annotations or detection confidence it will be matched its corresponding view in your protocol and analysed against quality criteria that can be detected (when part of the applicable views).
    You can easily view from the video playback to what view the image was associated by clicking the yellow dot on the video playback interface

3.3.5 Images “To annotate”

If an image is not detected as a view part of the protocol with a high confidence by Sonio, this view will be added to the section “To annotate”. An image can also be added to this section when there is a doubt between two detected views (the image A has a great detection confidence on view 1 AND on view 2).

Those images will need a manual association to be associated to a view in the protocol.

For each image, some views will be proposed.

The first 2 proposed views (when available) are the ones identified as most likely views according to Sonio Detect detection algorithms, next ones are those available in your protocol that have no images attached to them yet.

  • If the correct view is part of the proposed views, click on the correct view to associate the image to this view.
  • If the correct view is not part of the proposed views, you can drag and drop the image on your protocol’s view directly or zoom in the image and click “…” > “reassociate…” and select the appropriate view from your protocol. Note that if the image is not part of your protocol you can always attach it to “in addition to the protocol” view.

3.3.6 Zoomed image

Upon clicking on an image or view, or depending on your parameters, images and views can be zoomed in for more information :

  1. Detection Confidence Score shows the result of our detection algorithms in detecting the image as corresponding to this specific view. If the score is above or equal to 70% we are confident that this image corresponds to this view. If the score is below it will show in yellow to show we are not confident this image corresponds to this view. You can click on the score to get more information and in case the score is low be able to quickly confirm or reassign the image to the appropriate view.
  2. On the right part of the screen (when available) you will see the list of Quality Criteria of the given view. These are guidelines and tips on how to improve your image quality. When our detection algorithms can detect the criteria automatically a “star” icon will be shown on the quality criteria line.
  3. The possible statuses of the Quality Criteria are the following :
    1. [stars] VERIFIED : quality criteria was automatically detected as verified on this image by our algorithms
    2. [stars] NOT VERIFIED this means the quality criteria can be detected automatically but has not been verified.
      1. background in YELLOW : it means this quality criteria is mandatory for your site and will trigger the view to show in yellow on the overall exam view as well as count in the count of mandatory non verified Quality Criteria on the zoomed in and zoomed out view of the slide
      2. background in WHITE : The “not verified” quality criteria is considered by your site as a non-mandatory quality criteria. Therefore even though it has not been automatically detected as verified, it will not show on the overall exam view in yellow and will not be counted in the count shown on the slide of Quality Criteria NOT verified (considering here only mandatory ones).
    3. no status : means the Quality criteria can only be manually verified
      Any status can be manually overridden, a hand icon will then be shown with the updated status on the Quality criteria
  4. The ‘…’ button gives you access to more features and shortcuts :
    1. Ability to reassociate the image to another view
    2. Ability (after having overriden detection of quality criteria) to re-run the detection of the Quality criterias
    3. Ability to add a status to the image so it is asked to be re-taken
    4. Ability to delete the image. You will have to confirm deletion on a dedicated popup after asking to delete the image.
  5. Shortcut to show all quality criterias as “verified”

You can navigate to next or previous view leveraging the right and left arrows at the extremities of the screen. You can also use you right and left arrows on your keyboard if you use one.

Close the zoomed in view and return to the overall exam page with the top right X icon. You can also use ‘ESC’ key if you use a keyboard.

You can decide to override any of the Sonio Detect yellow information from the zoomed in view :

  • When a low detection confidence is shown in yellow you can click on it to confirm the association and manually override Sonio Detect’s yellow highlight:
  • Clicking on a quality criteria will change it’s status from verified to “not verified” and show it’s been manually edited:

Anything you may have overriden (detection highlight or quality criteria status) can be reset by asking Sonio Detect to re-analyse the image on the top right of any zoomed in view of an image captured associated to a view :


On exam page

If either one of the quality criteria that can be detected is not verified OR the detection confidence is low (below the 70% threshold) then the title of the view and its left contour will show in yellow. If you wish to know why in more details you can click on the image to access the zoomed in view.


On zoomed slide

When an image is detected with unverified items by Sonio, you can zoom on this slide to access more details. ,

There are 2 types of unverified items :

  • The view detection on the image is too low for Sonio to be confident (below our 70% threshold)
  • One or several quality criteria eligible to detection by Sonio (linked to a structure or not) are not verified

3.3.7 Delete an image

You can delete an uploaded image for an examination at any moment.

3.3.8 Re-associate an image to another view

You can manually re-associate an image to another view by dragging the image and dropping it to the new slide to which you want to re-associate the image.


3.3.9 Pause Sonio Detect with Pause mode

You can pause the auto matching of images sent to Sonio Detect by activating the Pause mode.

  • To activate the Pause mode : Click on the Pause icon (bottom left of the screen)
  • To deactivate the manual mode : click on the Manual mode Play icon (bottom left of the page).
Capture d’écran 2022-10-13 à 19.26.41.png

3.3.10 Ask to re-take an image

You can use the top right “…” of a zoomed in view to ask or notify the other people you are working with that this image associated to this view should be re-taken. It will add a message on the image title and on the exam overview


3.4 End an exam

By sending a DICOM SR

The end of exam is automatically triggered when a DICOM SR is sent from the US system to Sonio.

The DICOM SR contains data as biometries and is sent when ending the exam on the machine or transferring measurements.

A top bar is then shown on your screen to let you know the exam is now ended


A counter (5/74 in the ex shown above) shows the number of images sent over the total number of expected images (total number of instances of all your views in your protocol) to let you know simply if you may have forgotten any images.

Clicking on the counter will filter the content of your exam on the images you took / captured.

Through the menu ≡

You can also end the exam manually :

  • Click on the menu ≡
  • Click on “End examination”
  • Click on “End the examination anyway”

If there are still some images to be annotated (in the section Image to be annotated), then the screen will automatically scroll to this section to invite you to annotate manually those images.

4. List of views detected

The following list of 20 views can be detected by Sonio Detect even if you didn’t add any specific annotation / accronym on them :

  1. Transthalamic/Cavum septum pellucidum/Midline falx view
  2. Transventricular/Choroid Plexus view
    (those two group of views 1 & 2 are be differentiated to either Transthalamic / CSP / Midline falx or Transventricular / Choroid Plexus using the detection of structures)
  3. Transcerebellar view
  4. Upper lip, nose & nostrils
  5. Abdomen circumference
  6. Axial view of the two kidneys
  7. Long bone
  8. Four chambers
  9. Left ventricular outflow tract
  10. Right ventricular outflow tract
  11. Three vessels/Three vessels and trachea
  12. Sagittal spine
  13. Crown rump length
  14. Diaphragm
  15. Cervix
  16. Foot (feet)
  17. Hand(s)
  18. Orbits
  19. Profile/Nuchal Translucency
  20. Bladder

5. List of structures detected

For the given list of views listed below, Sonio Detect can detect the following structures on the images and therefore evaluate the associated Quailty Criteria as verified or not verified.

View nameStructures to be detected 
Brain views & structures
Transthalamic viewTransventricular viewTranscerebellar viewThalamiMidline falxCavum septum pellucidumSylvian fissureVentricle/Choroid PlexusCisterna MagnaAmbient cisternCerebellum
Heart views & structures
Four chambersLVOTRVOTThree vesselsAortaApex heartAscending aortaDescending aortaInteratrial septumInterventricular septumLeft atriumLeft ventriclePulmonary artery with visible bifurcationPulmonary trunkRight atriumRight ventricleSuperior vena ça va

6. List of Quality Criteria detected

For the transthalamic view, Sonio Detect evaluates the following criteria:

  • Presence of the cavum septum pellucidum
  • Presence of the thalami
  • Presence of the ambient cisterna
  • Presence of the Sylvian fissure
  • Absence of the cerebellum
  • The brain takes more than half of the width of the ultrasound image

For the transcerebellar view, Sonio Detect evaluates the following criteria:

  • Presence of the cerebellum 
  • Presence of the Magna cisterna
  • Presence of the cavum septum pellucidum
  • Brain taking more than half of the width of the ultrasound image 

For the transventricular view, Sonio Detect evaluates the following criteria:

  • Presence of the ventricle
  • Presence of the cavum septum pellucidum
  • Presence of the ambient cisterna
  • Absence of the thalami
  • Brain taking more than half of the width of the ultrasound image

For the 4 chambers view, Sonio Detect automatically evaluates the following criteria:

  • Presence of the right ventricle
  • Presence of the left ventricle
  • Presence of the left atrium 
  • Presence of the right atrium 
  • Presence of the interventricular septum 
  • Presence of the interauricular septum 
  • Presence of the apex of the heart
  • Presence of the descending aorta

For the 3 vessels and 3 vessels and trachea views, Sonio Detect automatically evaluates the following criteria:

  • Presence of the pulmonary trunk
  • Presence of the ascending aorta
  • Presence of the superior vena cava

For the RVOT view, Sonio Detect automatically evaluates the following criteria: 

  • Presence of the right ventricle
  • Presence of the ascending aorta
  • Presence of the pulmonary artery with visible bifurcation 
  • Presence of the right atrium 

For the LVOT view, Sonio Detect automatically evaluates the following criteria: 

  • Presence of the left ventricle
  • Presence of the aorta
  • Presence of the right ventricle
  • Presence of the left atrium
  • Presence of the apex of the heart

7. Log out

To log out from Sonio :

  • Click on the menu (top left)
  • Click on “More options”
  • Clique on “Log out”

After logout, you will need to enter again email and password to access your Sonio account.

8. Contact information

It is thanks to your feedback that we are building an application that is more useful for you and relevant to your daily practice.

Do not hesitate to contact us at [email protected]/old.

Manufacturer’s address


Manufacturer’s website www.sonio.ai/old