The Sencure chip can be used for multiple applications. Our main focus fields are brain monitoring, smart headphones, disposable vital sign patches, healthcare wearables and bio-electrical watches.

Disposable patches for Vital Signs (ECG, Respiration, Temperature) monitoring

Patches are getting more and more popular in day-to-day use of healthcare technology. From hygienic but also logistic point of view it is very convenient to simply use a patch that can be thrown out after use.

Measure ECG, respiration, temperature and body position with market-leading signal quality and robustness. When used in combination with a low-power DSP, you can also run our signal processing algorithm library.

The chip has optimal specifications for multichannel single-use patches for various monitoring applications. The low-power characteristics makes it a perfect solution for long-term home monitoring of patients.

The chip has 8 configurable unipolar channels, up to 4 Bio-impedance channels and body temperature. Together with a power-efficient connectivity chip. You are almost halfway in the perfect low-cost patch solution.

Wearables for Vital Signs monitoring in home situations

Healthcare is going digital in a rapid rate. Healthcare Wearables are enabling the digital transformation with technology that measures Vital Signs in a home situation. Whether the technology streams data directly to a cloud service or is downloaded several days after the measurement has taken place, the fact is that vital signals need to be measured for a long period of time.

Essential is high sensitivity for any physiological parameter that can help diagnose a disease or health issue. Other important aspects are the burden or influence on daily activities for the patient during a measurement. Imagine carrying around a bulky device in a bagpack all day long, or just carry a mobile phone sized device that does the same.

IONIC-8 can be integrated in a wearable that could for example be integrated in a small wearable module, or even in clothing using textile based dry electrodes. This is extremely comfortable and has limited impact on the patient’s sleeping behaviour. The chip allows for high signal quality even using sub-optimal contact electrodes (such as dry electrodes).



Personalized health tracking and sports performance assessment

Fitness trackers and personalized health apps provide useful information about lifestyle, your physical state and even sports performance. Add electrophysiological measurements to this mix and this application field can go beyond the current state-of-art that mostly depend on low sensitivity measurements such as acceleration, indirect measurements such as step counts or GPS, or even on subjective measures that depend on discipline of logging specific sports activity. Electrophysiological parameters can help track training progression, determine stress levels, concentration, relaxation among many other things.

IONIC 8 is a low power and ultra-small solution that can be integrated into smartwatches, fitness trackers or small wearables that measure your performance during sports, fitness or while you are asleep.

Brain monitoring

Epilepsy diagnostics depend on EEG measurement. The monitoring of Brain activity is decades old and often occurs in a clinical setting in a hospital. However, the added value of longer measurements, preferably in a home setting is evident. The probability that epileptiform activity is captured during 20-minute routine procedure is low, and healthcare costs are already very high and continue to grow year after year. The emergence of automated EEG analysis algorithms and signal processing techniques allow for longer measurements and technology that capture brain activity outside the hospital setting is a huge advancement for both patients whilst keeping costs under control.

A Remote Patient Monitoring EEG device is a small wearable (connected to) an headset with 21 to 32 electrodes that pick up brain activity for at least 24 up to 72 hours. Data is stored on the device or sent to an external device for processing and analysis. The analog front-end needs to pick-up high-quality EEG, which is typically very low in amplitude (+/- 20 uV) and very sensitive to external influences.