Connected Health

The work area of Connected Health at Fraunhofer IDMT in Oldenburg develops mobile sensor-based health systems. Their distinctive feature: They can be used flexibly and without a clinical infrastructure in

  • prevention,
  • diagnostics,
  • the therapy of diseases
  • and for the preservation of health.

The technical focus is on the development and validation of intelligent evaluation algorithms. In addition, research is conducted in the Connected Health field on models in interaction with sensors that are close to the body and, in particular, close to the head.

Application scenarios

Current application scenarios include pronunciation analysis and speech training for rehabilitation and therapy support in speech therapy. The recording and classification of body-related sounds, such as breathing, or the analysis of movement data, for example in the context of neurological diseases, also fall within the research and development activities.

Another scenario is the development of mobile neurotechnologies, for example for measuring sleep or diagnosing epilepsy. Brain activity can be used to draw conclusions about the state of health. For this purpose, EEG data is recorded and analyzed. Another method is recording via radar, for example to be able to detect nocturnal breathing pauses during sleep. The flexibly applicable technologies from the field of neurotechnology can be integrated into various applications from the Connected Health work area.

Connecting health systematically and practically

Connected Health at Fraunhofer IDMT in Oldenburg systematically addresses technological solutions that enable mobile or remote health services. An important goal here is to provide health-conscious users and patients more flexible options for their self-management and for contacting medical professionals. Where possible, this involves readily available consumer technologies and wearables such as smartwatches, hearables, smartphones, as well as existing infrastructures such as cellular networks. This enables healthcare to be provided outside the hospital or a medical office. This approach includes new developments in telemedicine, home care, and lifestyle products.

Research and development for the healthcare industry


News / 26.6.2023

Guest of the Federal Minister of Health

Fraunhofer IDMT's Oldenburg Branch presented »MOND« project in Berlin.


Project NEMO

Data Protection for Biosignals

Between data worthy of protection and pertinent research: How might practicable data protection concepts and anonymisation techniques for biosignals look?


Project AudioCAT

Competence assessment via voice-controlled dialogue systems

Professional language skills are an important basis for effective communication and successful teamwork. The AudioCAT project addresses this by developing an automated process for evaluating language skills.


Project page


Did you sleep well last night? This question concerns everyone, because sleep disorders affect health in the long term. That's why we are working on a multi-sensor system close to the ear that records sleep behavior comfortably at home.


Project LeseKind

AI-supported application for assessing reading proficiency

Use of automatic speech recognition technologies for assessing German reading proficiency among primary school students


SensOhr® platform

Research platform for ear-related sensor technology

One platform - many possible applications. The SensOhr®-platform enables the near-ear detection of biosignals in various scenarios for research and development.


Project IDEAS

Speech as a screening parameter

With the help of a screening system for autism spectrum disorders an automatic analysis of speech as well as facial expressions should become possible.


Project HISSS

Regaining speech and language after a stroke

With the help of automatic, audio-visual recognition and analysis after a stroke, logopaedic therapy is to be supported in the long term.


Projektseite mEEGaHStim

Better listening at the cocktail party

At a busy party, a healthy hearing can concentrate on a single voice. Many hearing impaired people have a problem with this.


Project Attention

Mobile System for ADHD Therapy

The consortium of the BMBF project »ATTENTION« is dedicated to the development of an alternative or complementary ADHD treatment approach that is effective and has few side effects for adult patients. 


Contactless health monitoring

The group »Mobile Neurotechnologies« is working on monitoring vital parameters: contactless, hygienic, and easy to set up.


Automatic speech analysis

Based on machine learning, speech and voice pathologies should be able to be automatically evaluated and analysed.


»MOND« for better epilepsy diagnostics

An everyday mobile neurosensing system shall automatically detect epileptic seizures and document them for medical history.


Automatic Screening

With the Oldenburg Speech and Voice Test, we want to set a new standard for the automated detection of speech and voice disorders.


Listening and pronunciation training for the hearing impaired

The developments in the project THERESIAH are intended to complement existing forms of therapy.


Intelligent speech training with ISi-Speech

In the ISi-Speech project, a training system is being developed that allows affected persons to independently train their speech capability. 


Assistive Speech and Language Analysis

The development and utilisation of digital speech processing technologies can make an important contribution to individual capacity for verbal communication.


Mobile Neurotechnologies

The group »Mobile Neurotechnologies« is working on discreet EEG systems for the analysis of brain activity - e.g. for safe workplace design or for use in health applications.


Oldenburg Branch for Hearing, Speech and Audio Technology HSA

The objective of the Oldenburg Branch for Hearing, Speech and Audio Technology HSA of the Fraunhofer Institute for Digital Media Technology IDMT is to transfer scientific findings related to hearing perception and man-machine interaction into technological applications.