& PHOTOPLETHYSMOGRAPHY OPTICALLY MEASURES the pulsating blood volume flow in the human skin so that primary vital signs such as the heart rate can be determined. Most known is this sensing principle from the mysterious illumination that can sometimes be seen at the back of fitness trackers and smartwatches. Since powering these high-intensity light puts a large dent into a wearable’s energy budget, this paper delves into the sampling schemes and strategies used by current off-the-shelf wearables to save energy and yet obtain good readings. As it turns out, the devices are following very different approaches. Plenty of commercial wearables have been introduced to the general public that benefit their users in terms of personal health care and fitness. Besides the detection of physical activity, these devices can also monitor the user’s heartbeat throughout daily life. This initially triggered interest from the quantified-self movement, but recently has been adopted by organizations that use the devices to support and motivate people to practice more physical exercise. The wearables that apply photoplethysmography (PPG) are loosely attached to the body and tend to be more comfortable and less obtrusive to wear long-term than electrocardiogram (ECG) stick-on sensors. While ECG sensing requires perfectly attached electrodes, wearables at the wrist can be as comfortable as traditional watches. Although most PPG research strives to match ECG in terms of accuracy, most devices are still used for fitness instead of medical care. PPG needs a strong illumination of the skin to capture the pulsating blood just below the human skin. The light-emitting diodes (LEDs) are utilized to generate short flashes to sample the blood volume of the moment, and are turned off Digital Object Identifier 10.1109/MPRV.2019.2926613
[1]
Philipp C. Schönle,et al.
A Power Efficient Spectrophotometry & PPG Integrated Circuit for Mobile Medical Instruments
,
2017
.
[2]
Hangsik Shin,et al.
Photoplethysmography sampling frequency: pilot assessment of how low can we go to analyze pulse rate variability with reliability?
,
2017,
Physiological measurement.
[3]
Paul C.-P. Chao,et al.
Design and Validation of a New PPG Module to Acquire High-Quality Physiological Signals for High-Accuracy Biomedical Sensing
,
2019,
IEEE Journal of Selected Topics in Quantum Electronics.
[4]
Kristof Van Laerhoven,et al.
Fewer Samples for a Longer Life Span: Towards Long-Term Wearable PPG Analysis
,
2018,
iWOAR.
[5]
Kazuyuki Nakamura,et al.
Photoplethysmogram at green light: Where does chaos arise from?
,
2018,
Chaos, Solitons & Fractals.
[6]
Toshiyo Tamura,et al.
Wearable Photoplethysmographic Sensors—Past and Present
,
2014
.
[7]
Yuan-Ting Zhang,et al.
A preliminary study on multi-wavelength PPG based pulse transit time detection for cuffless blood pressure measurement
,
2016,
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[8]
Cinna Soltanpur,et al.
A review on wearable photoplethysmography sensors and their potential future applications in health care
,
2018,
International journal of biosensors & bioelectronics.