Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This brief presents the design of a low-por 3-lead electrocardiogram (ECG)-on-chip with integrated real-time QRS detection and lossless data compression for arable wireless ECG sensors. Data compression and QRS detection can reduce the sensor por by up to 2–5 times. A joint QRS detection and lossless data compression circuit allows computational resources to be shared among multiple functions, thus loring the overall system por. The proposed technique achieves an average compression ratio of 2.15 times on standard test data. The QRS detector achieves a sensitivity (Se) of 99.58% and positive productivity (+P) of 99.57% @ 256 Hz when tested with the MIT/BIH database. Implemented in 0.35    $ \mu \text{m}$    process, the circuit consumes 0.96    $ \mu \text{W}$    @ 2.4 V with a core area of 1.56 mm   $^{2}$    for two-channel ECG compression and QRS detection. Small size and ultralow-por consumption makes the chip suitable for usage in arable/ambulatory ECG sensors.
['Chacko John Deepu', 'Xiaoyang Zhang', 'Chun Huat Heng', 'Yong Lian']
I am writing a research paper on a idea A 3-Lead ECG-on-Chip with QRS Detection and Lossless Compression for Wireless Sensors
[{"from": "human", "value": "I am writing a research paper on a idea A 3-Lead ECG-on-Chip with QRS Detection and Lossless Compression for Wireless Sensors"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This brief presents the design of a low-por 3-lead electrocardiogram (ECG)-on-chip with integrated real-time QRS detection and lossless data compression for arable wireless ECG sensors. Data compression and QRS detection can reduce the sensor por by up to 2\u20135 times. A joint QRS detection and lossless data compression circuit allows computational resources to be shared among multiple functions, thus loring the overall system por. The proposed technique achieves an average compression ratio of 2.15 times on standard test data. The QRS detector achieves a sensitivity (Se) of 99.58% and positive productivity (+P) of 99.57% @ 256 Hz when tested with the MIT/BIH database. Implemented in 0.35    $ \\mu \\text{m}$    process, the circuit consumes 0.96    $ \\mu \\text{W}$    @ 2.4 V with a core area of 1.56 mm   $^{2}$    for two-channel ECG compression and QRS detection. Small size and ultralow-por consumption makes the chip suitable for usage in arable/ambulatory ECG sensors."}]