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However, existing wireless heart monitoring schemes can only detect limited heart activities, such as heart rate, fiducial points, and Seismocardiography (SCG)-like information. In this paper, we present CardiacWave to enable a non-contact high-definition heart monitoring. CardiacWave can provide a full spectrum of Electrocardiogram (ECG)-like heart activities, including the details of P-wave, T-wave, and QRS complex. Specifically, CardiacWave is built upon the Cardiac-mmWave scattering effect (CaSE), which is a variable frequency response of the cardiac electromagnetic field under the mmWave interrogation. The CardiacWave design consists of a noise-resistant sensing scheme to interrogate CaSE and a cardiac activity profiling module for extracting cardiac electrical activities from the interrogation response. Our experiments show that the CardiacWave-induced ECG measures have a high positive correlation with the heart activity ground truth (i.e., measurements from a medical-grade instrument). The timing difference of P-waves, T-waves, and QRS complex is 0.67%, 0.71%, and 0.49%, respectively, and a mean cardiac event difference is within a delay of 5.3 milliseconds. These results indicate that CaridacWave offers high-fidelity and integral heart clinical characteristics. Furthermore, we evaluate the CardiacWave system with participants under various conditions, including heart and breath rates, ages, and heart habits (e.g., tobacco use).<\/jats:p>","DOI":"10.1145\/3478127","type":"journal-article","created":{"date-parts":[[2021,9,14]],"date-time":"2021-09-14T22:48:23Z","timestamp":1631659703000},"page":"1-26","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":34,"title":["CardiacWave"],"prefix":"10.1145","volume":"5","author":[{"given":"Chenhan","family":"Xu","sequence":"first","affiliation":[{"name":"University at Buffalo, the State University of New York, Department of Computer Science and Engineering, Amherst, NY, USA"}]},{"given":"Huining","family":"Li","sequence":"additional","affiliation":[{"name":"University at Buffalo, the State University of New York, Department of Computer Science and Engineering, Amherst, NY, USA"}]},{"given":"Zhengxiong","family":"Li","sequence":"additional","affiliation":[{"name":"University at Buffalo, the State University of New York, Department of Computer Science and Engineering, Amherst, NY, USA"}]},{"given":"Hanbin","family":"Zhang","sequence":"additional","affiliation":[{"name":"University at Buffalo, the State University of New York, Department of Computer Science and Engineering, Amherst, NY, USA"}]},{"given":"Aditya Singh","family":"Rathore","sequence":"additional","affiliation":[{"name":"University at Buffalo, the State University of New York, Department of Computer Science and Engineering, Amherst, NY, USA"}]},{"given":"Xingyu","family":"Chen","sequence":"additional","affiliation":[{"name":"University at Buffalo, the State University of New York, Department of Computer Science and Engineering, Amherst, NY, USA"}]},{"given":"Kun","family":"Wang","sequence":"additional","affiliation":[{"name":"University of California, Los Angeles, Electrical and Computer Engineering Department, Los Angeles, CA, USA"}]},{"given":"Ming-chun","family":"Huang","sequence":"additional","affiliation":[{"name":"Duke Kunshan University, Kunshan, Suzhou, Jiangsu, China"}]},{"given":"Wenyao","family":"Xu","sequence":"additional","affiliation":[{"name":"University at Buffalo, the State University of New York, Department of Computer Science and Engineering, Amherst, NY, USA"}]}],"member":"320","published-online":{"date-parts":[[2021,9,14]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"2015. 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