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Can the timing of menstruation and ovulation within the female cycle be predicted? What would be the implications if yes? And that too, days in advance? Just by using the voice?

The questions sound exciting. We want to find the answers together with female athletes.

Your voice is remarkably sensitive and responds to various influences. These can include stress, fatigue, or illness. Interestingly, the female menstrual cycle can also impact the voice. In preparation for a new model of artificial intelligence, we now seek your support.

The female menstrual cycle significantly affects the performance of female athletes. Depending on the cycle phase, athletes should consider the following:

1. Longer recovery periods: During specific phases, allocate more time for recovery.
2. Preference for endurance sports: Opt for activities that align with your cycle phase.
3. Strength training: Adjust strength training based on where you are in your cycle.
4. Risk of injury: Be aware that the risk of injury varies with the cycle phase and level of exertion.

Great importance is attached to the timing of ovulation. We want to determine this exact moment with the help of AI. For this, we need your support.

Given the sensitivity of this topic, athletes and trainers are eager to find a straightforward way to identify and communicate these phases. Our approach involves voice analysis.

Study Objective:

We aim to identify parameters and biomarkers in the voice that significantly change before ovulation. Our goal is to assist not only elite female athletes but all women in better determining the timing of ovulation. This knowledge can help tailor training, prevent injuries, and enhance overall well-being.

How You Can Help:

If you’re an athlete, your participation matters. We simply need your daily voice recordings via the VOIZZR RPE ANALYZER APP, along with some information about your current cycle phase. Don’t worry; it’s okay if you miss a day.

Test Preparation:

1. Download the app: Choose your preferred platform—Google Android or iPhone

2. Select your language: In the app’s navigation menu, choose your desired language (currently available in English and German).

3. Import QR Code: Navigate to the menu and select “Import QR Code.” Download the QR Code to your phone’s picture folder and import it. Alternatively, use the “QR Code Scan” feature to scan the QR Code from this page.

4. Configure Settings:

5. Daily tests: If possible, do the tests every day and at the same time. If you forget a day, this is no problem, testing at a different time is also no problem

6. Monitoring: In VOZZR Analytics you will find the results of your voice audiofiles analysed by more than 50 AI algorithms.

7. Information: Different parameters show different patterns in the phases of the cycle. For example, at the beginning of menstruation, one has a hoarser voice, therefore the RBH value should increase.

The listed parameters and their respective changes are current observations and can vary from woman to woman. The change of the parameters related to the respective cycle phase is precisely the background of this observational study. The duration of each phase can be very individual depending on the woman.

(Current status of observations: 9th April 2024)

Intersted? Do you wanna help? Then download the app: Choose your preferred platform—Google Android or iPhone

Some are optimizing their COVID testing processes with the VOIZZR App.

In our surroundings, whether in the social circle, workplace, school, daycare, sports club, or personally, the number of “positive” COVID cases is rising again. As expected, the numbers are increasing in the cold season. However, there are neither prescribed testing protocols from associations and the Bundesliga nor a sufficient number of available testing centers. How should we handle this, especially after Christmas celebrations and before Christmas with family? Or after holidays?

It’s a seasonal effect.

In professional sports, there are no fixed testing protocols anymore. However, some clubs and athletes rely on the VOIZZR PITCH ANALYSER or VOIZZR RPE App (optimized for professional sports). The goal is to identify potential cases early and raise awareness not only among athletes but also among family members and the coaching staff. Athletes, such as skiers, snowboarders, or biathletes, are often on the move, and some athletes could quickly test positive and be unable to compete. Athletes voluntarily use the app every morning to record coughing and read a predetermined sentence. This typically takes less than a minute. AI algorithms analyze the voice files in the background. If cough values are significantly in the upper range and a declining pattern appears in the P-Score, athletes are prompted to see the hygiene officer and discuss further steps. Often, a rapid test is then conducted to clarify the situation.

“Last season, we identified three cases before the Bundesliga’s testing protocol would have come into play,” reported a hygiene officer. “Additionally, we divided ‘Family and Friends’ of the players and the youth squads into separate groups for better oversight. Most infections come into the team through these contacts. The earlier we identify a player or the risk in their environment, the lower their personal risk, and the less likely they are to potentially infect others.”

“We simply sent the app links to our athletes in the youth squads, and they could start right away. Since we only see the athletes at regular intervals for training sessions at the training centers, we need a simple and pragmatic solution!” commented a national team coach. “We now receive the information before it reaches us!”

For those interested: Up to 10 tests per month are available for free. If you want to test friends and family with your own app, you can create additional profiles here.

In this spirit: Stay healthy, be mindful, and have a wonderful Christmas in the company of your loved ones.

Feel free to contact us to get a QR Code for access or request our API.

Your voice is very sensitive and reacts to different influences. This could be stress, fatigue or an illness. The female cycle can also influence the voice. In preparation for a new model of artificial intelligence, we now need your support.

The aim of the study:

If you donate blood regularly, you can help us. We want to identify the parameters and biomarkers in the voice that change significantly before and after blood donation.

Preparation of the test:

1. Download the apps on your preferred platform Google Android, Apple IOS or Xiaomi.

2. Select your desired language in the navigation menu in the app.

3. In the navigation menu, select Import QR Code (then download the QR Code into your picture folder on the phone and then import) OR QR Code Scan, then activate camera and scan the QR Code from this page.

Blueprint of daily tests:

1. If possible, take the test in the app at the same time every day. The QR code activates a questionnaire in which you can indicate whether you have donated blood in the last 24 hours.

2. Then do the cough test and read the sentence “A caravan went with its camels…” twice.

3. Check in and done.

All data are processed anonymously; we can never identify you or assign data without your participation.

IMPORTANT!

If you are going to donate blood, you should have the tests done 2-3 days before and after the appointment. This period is extremely important. If you forget a day, no problem.

If you have any questions or problems, just ping us.

VOIZZR RPE ANALYZER is part of a research project by VOIZZR in collaboration with various sports institutes, sports universities, sports scientists, national coaches, and Olympic training centers, resulting from various workshops in the Tech Workshop for High-Performance Sports at the German Federal Institute of Sports Science.

Optimize your training and enhance your performance with the VOIZZR RPE Analyzer! Track your performance, recovery, and sleep, and identify patterns in your voice. Ideal for athletes, coaches, and Olympic participants!

Improve your fitness and mental strength through targeted training optimization. Our app has been developed in cooperation with various Olympic training centers and athletes in Germany. The goal is to optimize your training, plan recovery phases, and prevent injuries.

Track your RPE (Rating of Perceived Exertion) daily and easily access REGman (German Federal Institute of Sports Science) and other information. The RPE is represented on the well-established BORG scale. It is based on your personal perception of exertion and helps you assess the intensity of your physical activity or training. Graphical evaluations are available.

The combination of subjective data and voice analysis provides you and your coach with a transparent overview of your current physical and mental condition.

Your data is processed in a pseudonymized manner and stored on secure servers in the EU.

Coaches have access to their athletes’ data if needed. Contact us for more information.

Please note that this app is not intended as a medical product and is not intended for the diagnosis, treatment, cure, monitoring, or prevention of medical conditions or diseases. We show you trends and patterns in your voice. Before making any changes to your daily routine, training, medications, or nutrition, it is important to consult with your coach, doctor, or other medical expert.

Optimize your training, enhance your performance, and become a professional athlete with the VOIZZR RPE Analyzer!

This article presents a comprehensive systematic literature review (SLR) on the outcomes of using artificial intelligence (AI) for the recognition of diseases through voice analysis, with a focus on biomarkers. The SLR process involved the selection and analysis of relevant research studies, including their methodologies, datasets, and findings. This review highlights the effectiveness of AI-guided tools for screening COVID-19 infections using cough and sneezing sounds, discusses the state-of-the-art methods employed, and explores the potential of deep learning models in improving disease detection and prediction.

Eligibility of the Studies:

The SLR included a total of 28 studies that met the inclusion and exclusion criteria. The selected studies utilized various datasets, including cough sound data from laboratory-confirmed patients, crowd-sourced data, and data collected via mobile apps. While some studies focused on COVID-19 prediction, others provided essential information for the SLR without specific COVID-19 relevance. The analysis excluded studies with invalid measurements, unavailability of full text, and publication years before 2019. Eight studies were included based on references, resulting in a final set of 28 studies for synthesis.

Studied non-Laboratory Confirmed Dataset and State-of-the-Art Methods:

The review examined the use of deep learning methods, such as convolutional neural networks (CNNs), for the recognition of COVID-19 through cough and sneezing sounds. AI-guided cough screening tools employing CNNs showed promising results, with high sensitivity, specificity, and overall accuracy. The studies compared laboratory-confirmed datasets with non-laboratory-confirmed datasets, demonstrating the superior performance of AI-guided approaches when trained on reliable data. Ensemble learning, CNNs, and deep neural networks were utilized to identify COVID-19 in sneezing noises. The research also emphasized the potential of incorporating biomarkers and clinical data, such as respiration, speech, throat clearing, wheezing, and breathing, to enhance decision-making in disease screening.

Discussion and Conclusions:

Based on the selected studies, coughing was identified as one of the most prominent symptoms for the detection and prediction of COVID-19. AI-guided cough screening, along with clinical testing, can aid in the diagnosis of COVID-19, making it a valuable tool, particularly in resource-constrained areas. Deep features were found to extend the generalization of AI models without relying on past information, allowing for more precise predictions and insights. The use of AI-guided tools for COVID-19 screening showed superior performance when trained on laboratory-confirmed datasets. However, some studies lacked comprehensive method descriptions or employed biased models, highlighting the need for further improvements.

The review concluded that AI-guided solutions using biomarkers and clinical data, combined with advanced deep learning models like CNNs, hold promise for improving the analysis and prediction of COVID-19 and other diseases. Future research should explore the integration of ensemble deep neural networks and multimodal learning methods to enhance disease screening outcomes.

Overall, this systematic literature review provides valuable insights into the application of AI in biomarker recognition and disease detection from voice analysis. The findings demonstrate the potential of AI-guided tools for accurate and efficient screening, paving the way for advancements in healthcare and disease management.

Study: https://www.jcbi.org/index.php/Main/article/download/163/105

On March 9th and 10th, 2023, the Tech Workshop Performance Sports took place in Münster. The focus was on innovations and potentials of available and future technologies for performance sports. The VOIZZR team was able to present its solutions based on artificial intelligence there. In numerous workshops with sports trainers, representatives of Olympic training centers, universities, and athletes, various scenarios were identified in which AI can help athletes.

The premiere event brought together over 120 participants from sports science, industry, and sports practice for two days to learn about new technologies and exchange ideas about their application possibilities.

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