Why the study?
Traditional ballistocardiography requires custom hardware attached to the body, posing challenges for opportunistically monitoring heart activity from a handheld smartphone.
Does the HandRate smartphone-based system accurately estimate heart rate in subjects holding a smartphone compared to systems requiring special sensors?
Does the HandRate smartphone-based system accurately estimate heart rate in subjects holding a smartphone compared to systems requiring special sensors?
A novel smartphone accelerometer-based system can accurately estimate heart rate via ballistocardiography simply by the user holding the phone.
May enable passive smartphone HR monitoring but should not change practice; hypothesis-generating pending larger validation.
We present HandRate, the first smartphone-based system using a standard sensor (accelerometer) for opportunistically computing heart rate while a user holds their phone. Fundamentally, HandRate revisits ballistocardiography (BCG), a century-old technique for monitoring heart activity by measuring the body movement caused by the cardiac cycle. Traditionally performed using custom hardware, attached to a subject's body, revisiting BCG for the smartphone, held in hand, faces several challenges. The hand is an external organ furthest from the aorta and subject to motion artifacts, leading to a weak and noisy signal, while the position the phone is held in can impact which accelerometer axis best captures BCG. HandRate addresses these challenges by introducing a design involving two modules operating in tandem: the first aimed at transforming the accelerometer readings into a single-dimensional signal oblivious to how the phone is held, while the second module making heartbeat predictions based on this signal. Results from testing HandRate using data collected from 18 subjects show that it can estimate heart rate with accuracy similar to or better than systems requiring special sensors and/or active user participation.
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Jiokeng et al. (2021) studied this question. HandRate (smartphone-based ballistocardiography system) vs. Systems requiring special sensors and/or active user participation was evaluated on Heart rate estimation accuracy.
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