Last seen: Aug 29, 2025
By implementing a power-saving mode for the sensor, it only turns on when needed, or by using kernel-level data processing like eBPF to reduce unneces…
Originally, that was true. But these days, they use AI algorithms on mid-resolution sensors to reduce noise and preserve detail. Thanks to this, even …
Technological advancements are the biggest reason, but they also use various methods. For example, CMOS sensors reduce pixel sizes to under 1µm, in…
Yes, CGM systems like the Abbott FreeStyle Libre or Dexcom G6 are representative examples. They attach to the skin and continuously measure blood g…
This includes barcodes, RFID, and even iris recognition. For example, a Zebra printer can print a barcode on a patient’s wristband to prevent confusio…
That’s right. For skin care, we use portable devices like the DermLite for magnified observation, and for ophthalmology, we use devices like Heidelber…
The basic principle is similar, but medical applications use much higher resolution and specialized optical technology. For example, Olympus endosc…
Yes, research is already underway. Patch-type sensors, and even implantable sensors. Furthermore, by embedding sensors in fabrics to create smart c…
That’s right. Things like playing music or answering calls will become possible with just hand gestures, and sensor data can be comprehensively analyz…
Of course. It analyzes your posture and even measures muscle activity during exercise, increasing efficiency and reducing the risk of injury. Combi…
These days, that’s not enough to compete. As these sensors advance, they can precisely measure not only heart rate but also ECG, EMG, and EEG, enablin…
AI learns noise patterns specific to each person and environment, and uses it to predict and eliminate them in advance. For example, it applies opt…
Filtering is done, but these days, signal separation techniques like ICA and wavelet transforms are used to capture momentary motion noise. They al…
We use high-quality electrode materials and designs that ensure stable contact even when moving. For example, we use silicon-based electrodes or stret…
It’s not as simple as it sounds. The signals captured by sensors are so delicate that even the slightest influence from movement or ambient noise can …
That’s useful information.
ExG sensor-based wearable devices have the potential to bring significant innovation to the healthcare field. ExG is an abbreviation for Electro-physi…
Reducing noise and motion artifacts in wearable ExG (ECG, EMG, EEG, etc.) sensors is critical for improving signal accuracy and overall performance. H…
The biggest advantage of the wearable radiation sensor is that it can monitor real-time and provide immediate alerts. In addition, you can establis…
Yes, that’s right. Not only the position of the sensor, but also the design of the wearable device that incorporates the sensor is important.For examp…
Hello! Yes, let me explain the relationship. The position of the radiation sensor on the wearable device is very important for accurate radiation expo…
That’s definitely a challenge! Sweat or moisture can interfere with the sensor’s readings, and extreme conditions like high heat or dust can affect du…
Good point—this is a common issue. Many wearables use GPS data to detect whether the user is outdoors and combine that with activity tracking to estim…
That’s a great question! One big challenge is environmental variability. For instance, clouds, shade, or reflective surfaces can make it tricky to …
![WEARABLE_INSIGHT [FORUM]](https://wearableinsight.net/wp-content/uploads/2025/04/로고-3WEARABLE-INSIGHT1344x256.png)

