Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Heart rate (HR) and its variability (HRV) provide critical information about an individual's cardiovascular and mental health state. In either application, long-term observation is crucial to arrive at conclusive decisions and provide useful diagnostic feedback [1]. Photoplethysmographic (PPG) estimation of HR and HRV has emerged as an attractive alternative to ECG, as it provides electrode-free operation increasing patient comfort. Hover, PPG monitoring systems robust to low ambient light conditions and low perfusion conditions require a LED as a light source, which strongly dominates the por consumption of the complete system. Compressive sampling (CS) based PPG readouts promise to mitigate this LED por consumption [2], yet require large computational por to recover the signal, hindering real-time embedded processing on energy-scarce arable devices.  presents a fully integrated, low-por PPG readout ASIC, completely integrating a single-channel readout front-end (AFE) and a 12b SAR ADC and a digital back-end (DBE) for embedded energy-efficient real-time information extraction, that advances the state-of-the-art on the following fronts: 1) By smartly duty-cycling all system components synchronously on a sparse non-uniform CS sampling pulse stream, the LED driver por is reduced up to 30x, without significant loss of information. 2) Moreover, the necessity of wireless off-loading, or for computationally intensive embedded signal reconstruction, is circumvented by enabling the direct extraction of HR and HRV information from the compressed data in real-time on the ASIC, while consuming only 172µW for the complete system.
['Pamula Venkata Rajesh', 'Jose Manuel Valero-Sarmiento', 'Long Yan', 'Alper Bozkurt', 'Chris Van Hoof', 'Nick Van Helleputte', 'Refet Firat Yazicioglu', 'Marian Verhelst']
I am writing a research paper on a idea 22.4 A 172µW compressive sampling photoplethysmographic readout with embedded direct heart-rate and variability extraction from compressively sampled data
[{"from": "human", "value": "I am writing a research paper on a idea 22.4 A 172\u00b5W compressive sampling photoplethysmographic readout with embedded direct heart-rate and variability extraction from compressively sampled data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Heart rate (HR) and its variability (HRV) provide critical information about an individual's cardiovascular and mental health state. In either application, long-term observation is crucial to arrive at conclusive decisions and provide useful diagnostic feedback [1]. Photoplethysmographic (PPG) estimation of HR and HRV has emerged as an attractive alternative to ECG, as it provides electrode-free operation increasing patient comfort. Hover, PPG monitoring systems robust to low ambient light conditions and low perfusion conditions require a LED as a light source, which strongly dominates the por consumption of the complete system. Compressive sampling (CS) based PPG readouts promise to mitigate this LED por consumption [2], yet require large computational por to recover the signal, hindering real-time embedded processing on energy-scarce arable devices.  presents a fully integrated, low-por PPG readout ASIC, completely integrating a single-channel readout front-end (AFE) and a 12b SAR ADC and a digital back-end (DBE) for embedded energy-efficient real-time information extraction, that advances the state-of-the-art on the following fronts: 1) By smartly duty-cycling all system components synchronously on a sparse non-uniform CS sampling pulse stream, the LED driver por is reduced up to 30x, without significant loss of information. 2) Moreover, the necessity of wireless off-loading, or for computationally intensive embedded signal reconstruction, is circumvented by enabling the direct extraction of HR and HRV information from the compressed data in real-time on the ASIC, while consuming only 172\u00b5W for the complete system."}]