Yverdon, Vaud, Switzerland
Passionate about biomedical engineering, algorithm design and machine learning. I spent the last 20+ years in both academy and industry developing intelligence for cardiovascular and respiratory function quantification via noninvasive biosignals. My main focus is on the use of photoplethysmography for health quantification especially using portable and wearable devices for stress, fitness, sleep and cardiorespiratory function and synchrony. I am co-founder of SATHeart, a startup company developing intelligence from photoplethysmograms. The main features of Vitalab, our health platform, is the unique mindful breathing biofeedback concept and quantification of our energy balance which integrate multi-factorial aspects of our neuro-cardio-respiratory system. SATHeart also offers consulting services in the fields of biosensing, biosignal processing, algorithm design, machine learning as well as clinical protocol design and implementation.
SATHeart USP is a technique called Active Breathing (TM) that interactively guides the user's breathing towards the aim of her/his choice: calming, focusing, energizing and sleeping. It is thus a biofeedback based on blood pressure pulse wave analysis method that gently drives the user's breathing patterns. Target markets are stress management, sport performance, breathing disorder and sleep management. SATHeart provides solutions for the wellness, fitness, sport and medical markets with dedicated features using a hand held or arm located digital biosensing device for the best accuracy matching medical grade systems. Higher level metrics includes: Breathing Score, Energy Balance and Sleep Scores. These metrics are included in our coming App and can also be included in our Embedded Biosignal Toolboxes which includes: heart rate, heart rate variability indices, breathing signals and rates, peripheral oxygen level, skin temperature and vascular stiffness indices. Do not hesitate to contact us: [email protected].
Development of algorithms for Human Vital Signs analysis based on motion sensors and photoplethysmography. Most of algorithms are dedicated to embedded processing and based on white box (physiological) or grey box (physiological + machine learning) models. Among the algorithms, I worked out the following parameters: 1) Human activity and public transport classification 2) Energy expenditure estimation 3) Heart Inter-beat intervals estimation 4) Spontaneous and paced breathing rate 5) Cuff-less blood pressure estimation 6) Blood pulse wave analysis and modelling 7) Cardiovascular modeling
- Working on Algorithms and Strategies for new wellness and sport related Quality of Life and sport performances indices. - Develop Research and Concepts related to Relaxation for Stress and Fatigue using Biosensors Biofeedback. - Implement Algorithms for Multi-Sensor Data Analysis, Filtering and Prediction.
International Grant writing --------------------------------------------------------------------------------- - H2020: Preventative and Participatory Medicine - H2020: Stress Management Applications to (Wearable) Health Monitoring Systems such as: --------------------------------------------------------------------------------- - Quality of Life and Sleep indices - Emotions, Fatigue and Stress indices - Human Vital Signs analysis and modelling Algorithms for : ------------------- - System identification - Time series analysis and prediction - Adaptive Filters and Noise cancellation - Signal and System Synchronization Measures - Holistic multidimensional data representations
We develop algorithms for vital sign monitoring and analytics for wearable and non-wearable devices. Our focus is on the analysis of the blood pulse wave as measured from the photoplethysmography at different places of the body along with other physiological signals such as electrocardiogram, electroencephalograms, respiration or blood pressure and flow. We also develop algorithms for motion quantification and classification. Our interests are on wellness and sport market as well as clinical applications such as heart arrhythmia detection, breathing pattern analysis, sleep disorders and sleep disordered breathing. We also have some interest in using eastern medicine concepts to our algorithms and methodologies, especially those connected to the knowledge of pulse reading.