Can We Trust Inertial and Heart Rate Sensor Data from an APPLE Watch Device?
The use of wearable technologies for the monitoring of human movement has increased considerably in the past few years, with applications to sports and other physical activities. Energy expenditure, walking and running distance, step count, and heart rate are some of the metrics provided by such dev...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Proceedings |
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| Online Access: | https://www.mdpi.com/2504-3900/49/1/128 |
| _version_ | 1797565365420556288 |
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| author | Hugo G. Espinosa David V. Thiel Matthew Sorell David Rowlands |
| author_facet | Hugo G. Espinosa David V. Thiel Matthew Sorell David Rowlands |
| author_sort | Hugo G. Espinosa |
| collection | DOAJ |
| description | The use of wearable technologies for the monitoring of human movement has increased considerably in the past few years, with applications to sports and other physical activities. Energy expenditure, walking and running distance, step count, and heart rate are some of the metrics provided by such devices via smart phone applications. Most of the research studies have involved validating the accuracy and reliability of the activity monitors by using the post-processed data from the device. The aim of this preliminary study was to determine if we can trust sensor data obtained from an Apple watch. This study evaluated the pre-processed data from the watch through step counting and heart rate measurements, and compared it with known validated devices (in-house 9DOF inertial sensor and Polar H10<sup>TM</sup>). Repeated activities (walking, jogging, and stair climbing) of varying duration and intensity were conducted by participants of varying age and body mass index (BMI). Pearson correlation (r > 0.95) and Bland–Altman statistical analyses were applied to the data to determine the level of agreement between the validated devices and the watch. The sensors from the Apple watch counted steps and measured heart rate with a minimum error and performed as expected. |
| first_indexed | 2024-03-10T19:11:06Z |
| format | Article |
| id | doaj.art-68995c37a63e413fbfe2442f02c5d15e |
| institution | Directory Open Access Journal |
| issn | 2504-3900 |
| language | English |
| last_indexed | 2024-03-10T19:11:06Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Proceedings |
| spelling | doaj.art-68995c37a63e413fbfe2442f02c5d15e2023-11-20T03:47:50ZengMDPI AGProceedings2504-39002020-06-0149112810.3390/proceedings2020049128Can We Trust Inertial and Heart Rate Sensor Data from an APPLE Watch Device?Hugo G. Espinosa0David V. Thiel1Matthew Sorell2David Rowlands3Griffith School of Engineering and Built Environment, Griffith University, Nathan Campus QLD 4111, AustraliaGriffith School of Engineering and Built Environment, Griffith University, Nathan Campus QLD 4111, AustraliaSchool of Electrical and Electronic Engineering, The University of Adelaide, South Australia 5005, AustraliaGriffith School of Engineering and Built Environment, Griffith University, Nathan Campus QLD 4111, AustraliaThe use of wearable technologies for the monitoring of human movement has increased considerably in the past few years, with applications to sports and other physical activities. Energy expenditure, walking and running distance, step count, and heart rate are some of the metrics provided by such devices via smart phone applications. Most of the research studies have involved validating the accuracy and reliability of the activity monitors by using the post-processed data from the device. The aim of this preliminary study was to determine if we can trust sensor data obtained from an Apple watch. This study evaluated the pre-processed data from the watch through step counting and heart rate measurements, and compared it with known validated devices (in-house 9DOF inertial sensor and Polar H10<sup>TM</sup>). Repeated activities (walking, jogging, and stair climbing) of varying duration and intensity were conducted by participants of varying age and body mass index (BMI). Pearson correlation (r > 0.95) and Bland–Altman statistical analyses were applied to the data to determine the level of agreement between the validated devices and the watch. The sensors from the Apple watch counted steps and measured heart rate with a minimum error and performed as expected.https://www.mdpi.com/2504-3900/49/1/128Apple watchinertial sensorsinertial monitoring units (IMU)heart ratewearable devicesstep count |
| spellingShingle | Hugo G. Espinosa David V. Thiel Matthew Sorell David Rowlands Can We Trust Inertial and Heart Rate Sensor Data from an APPLE Watch Device? Proceedings Apple watch inertial sensors inertial monitoring units (IMU) heart rate wearable devices step count |
| title | Can We Trust Inertial and Heart Rate Sensor Data from an APPLE Watch Device? |
| title_full | Can We Trust Inertial and Heart Rate Sensor Data from an APPLE Watch Device? |
| title_fullStr | Can We Trust Inertial and Heart Rate Sensor Data from an APPLE Watch Device? |
| title_full_unstemmed | Can We Trust Inertial and Heart Rate Sensor Data from an APPLE Watch Device? |
| title_short | Can We Trust Inertial and Heart Rate Sensor Data from an APPLE Watch Device? |
| title_sort | can we trust inertial and heart rate sensor data from an apple watch device |
| topic | Apple watch inertial sensors inertial monitoring units (IMU) heart rate wearable devices step count |
| url | https://www.mdpi.com/2504-3900/49/1/128 |
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