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Continuous monitoring of mood disorders by Artificial Intelligence

We are developing the 1st digital medical device to aid diagnosis and continuous monitoring of mood disorders, thanks to continuous AI analysis of emotions.

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Why Emobot ?

An ever-widening gap between the increase in mood disorders and the lack of global medical resources

Increase in mood disorders
Increase in depressive/anxious patients
+30% post Covid19
More than 10M people suffer from depression or anxiety in France. . . More than 320M worldwide.
Growing elderly population
+50% of people over 75 between 2023 and 2030
Elderly suffering from neuropsychiatric disorders
40% of elderly people suffer from neuropsychiatric disorders (90% in nursing home)
Lack of global medical resources
Medical Desertification
- Less than 1 doctor for every 2 nursing homes
- 1 psychiatrist managing 1,500 patients
- Only 15,000 psychiatrists in France
Hospital capabilities and availability
Satisfaction with nursing homes
- Orpea Scandal
- Occupancy at an all-time low

Today, unlike all other health disciplines, there is still no automatic solution for diagnosing or helping to diagnose mood disorders.

Doctors rely on clinical observation and psychiatric questionnaires developed according to the controversial DSM-IV/DSM-V classification.
Discover EmoCare
The 1st medical device ever created for mental health
Our product

EmoCare, diagnostic and remote monitoring software for mood disorders

It's a device for measuring (diagnosis) and monitoring (follow-up) mood and anxiety disorders, based on the patient's facial expressions.

We capture mood signals, which are essential in clinical settings and have never been used before, to detect disorders at an early stage and help doctors diagnose and monitor patients' moods and pathologies, even at a distance.

EmoCare takes advantage of the fact that the average American spends 7.5 hours a day in front of their smartphone or computer: the application runs continuously in the background on the patient's phone and/or computer.
The technology

Thanks to our emotional signals, we can continuously monitor mood, the main component of mood disorders.

How does it work ?

Using Artificial Intelligence, we analyze the evolution of mood disorders over time by passively studying people's emotional behavior, via their facial expressions, as well as their voice.

EMOBOT, with its partner the AIMAC laboratory (CentraleSupélec, IETR, CNRS) headed by co-founder Renaud Séguier, is developing algorithms, signals and digital biomarkers to automatically estimate the severity of disorders and their evolution in patients.

Our algorithms create an emotional heat map that summarizes a person's "emotional tone" throughout the day by accumulating the emotions detected. For example, one map may show predominantly neutral emotion and a diversity of emotions for a person with good emotional tone, while another may show low emotional intensity and predominantly neutral emotions for a person with low emotional tone.

An EmoCare use case:
Visualising the mood of a bipolar patient

Month 1
Month 2
Month 3

Emobot is involved at every stage of the patient journey, from prevention to follow-up.

Prevention and diagnostic assistance
By moving from a one-off treatment (follow-up) to a continuous treatment thanks to remote monitoring, EmoCare will enable early detection of mood disorders in at-risk patients, so that they can be managed upstream, and the best therapeutic response adopted.

Doctors will prescribe the device to at-risk patients over a period of several months, in order to monitor the evolution of their symptoms and be alerted to early signs of disease progression. Depending on the situation, they may decide to treat the patient themselves, refer the patient to a fellow psychiatrist, or send the patient to hospital at the first sign of the disease.

For patients who have already been treated for depressive/anxious/bipolar disorders, the doctor can prescribe EmoCare to detect the risk of relapse (in the case of mood disorders: the patient has a 25% chance of committing suicide) and hospitalization.
Remote monitoring & tracking disease progression
The doctor will be able to obtain additional information in addition to the sessions with the patient (waiting times currently range from 1 to 4 months in France). In fact, thanks to the patient's quasi-continuous monitoring, the doctor will be able to follow the evolution of the pathology remotely, and supplement his clinical observations with the patient's medical data in real ecology (in his living environment).

The doctor will be able to detect a patient's success and early response to a drug treatment, and adapt dosage/frequency accordingly.

To enable hospitalized patients to return home sooner, remote patient monitoring will enable the doctors who treated the patient and the patient's GP to continue to monitor the patient (extra-hospital continuity), provide follow-up care and initiate any appropriate interventions.
Emobot in nursing homes

Emobot, the emotional alert and monitoring system for nursing homes, already available

Fall-detection systems are well known for ensuring the autonomy of elderly people in nursing homes, but there are currently no psychological monitoring systems, apart from Emobot.
Equipped with an alert system, it alerts nursing staff in the event of psychological crisis, emotional distress, behavioral breakdowns, and psychological distress that gradually sets in. Emobot supports professionals in their day-to-day monitoring and interventions, saving them time, precision and efficiency on a daily basis.

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