The core of the BioSensor project is an integrated multi-parameter health monitoring module designed by us. It measures and tracks processes including HR (heart rate), ECG (electrocardiogram) and SPO2 (blood oxygen saturation) that are currently common on the market. It also supports RESP (respiration rate), GSR (electrodermal activity), human body impedance (such as BIA) Body composition such as body fat), EMG (myoelectricity), weight, body temperature, EEG (electroencephalogram) or other types of sensor signals (such as piezoelectric sensors for non-contact heart rate, respiration and body movement measurement) access.
Currently, the single-chip solution for wearable multi-parameter health collection on the market mainly supports three hardware functions: HR (heart rate), ECG (electrocardiogram) and SPO2 (blood oxygen saturation); such as TI, ADI, MAXIM and MTK. of chips. However, for human health assessment, it is far from enough to analyze only these three functional data. Therefore, we developed this sensing module BioSensor with richer functions. BioSensor can be applied to watches (rings), mobile phones or any other smart health and medical devices.
The main hardware functions of BioSensor are as follows:
BioSensor’s advantages:
complete software and hardware open source platform:
For the application and evaluation of BioSensor, we provide a complete software and hardware open source platform. As shown in the figure below of the hardware reference evaluation framework, the hardware evaluation board currently supports mainstream MCUs such as STM32, ESP32 or NRF52;
The hardware evaluation board consists of two parts:
1>**BioSensor module interface board** (as shown below).
2>**BioSensor main control board** (as shown below).
Evaluate open source software:
In terms of software, we provide an open source framework HDF (Healthcare Development Framework), the open source hosting address is https://github.com/feelkit/HDF ;
It also provides Bluetooth firmware applications based on NRF52, open source hosting address https://github.com/feelkit/bioModule_NRF52_BLE ;
On the PC side, an open source evaluation software package based on Labwindows CVI is provided, and the open source hosting address is https://github.com/feelkit/bioDemo_labwindows_cvi ;
An Android-based evaluation APK is also under development. Based on this project, we will continue to provide more innovative health and medical applications.
Video operation: Please refer to the link---- https://v.youku.com/v_show/id_XNDM3MTU3OTYyNA==.html?sharefrom=iphone&sharekey=726892ea5c4af67e0eefaa20bad668c70
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