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In this technical paper, we design and implement an optical camera communication system for real-time remote monitoring of patient's heart rate (HR) and oxygen saturation (SpO2) data. The data is collected and transmitted by a patch circuit which comprises a MAX30102 sensor and an RGB LED array. A close circuit television camera is used not only for surveillance but also for receiving the data simultaneously. The LED is modulated using color intensities, and the data can be retrieved regardless of any orientations of the LED array. We propose a neural network (NN) to detect each LED separately, and we implement another NN-based on feature extraction to precisely recognize the colors. The data are also encoded with a unique key, which increases the security of the communication mechanism. System performance of 4.68 kbps with low bit-error-rate (BER) and 1.172 kbps with moderate BER is achieved at 1 and 3 m, respectively.