heartrate

Difference between Android SensorManager and Google Fit raw sensor data?

由 安稳与你 提交于 2021-02-19 03:53:10
问题 For my app I need to read the user's latest heart rate to send in every message. One is the Android SensorManager and the other is Google Fit's Sensors. Also there is Samsung's Health app (don't think this one will give me the data I need as I don't need past data unless I just query it for the latest heart rate). What is the difference between these methods of accessing the user's heart rate? Is one better than the other for my purposes? Or are they all the same? https://developer.android

How to filter “active” HeartRate from HealthKit iOS using predicate?

由 空扰寡人 提交于 2019-12-13 03:18:06
问题 I am trying to fetch Heart Rate Data from HealthKit iOS by putting filter using HKQuery.predicateForObjects By using the following code: let predicate = HKQuery.predicateForObjects(withMetadataKey: HKMetadataKeyHeartRateMotionContext, allowedValues: ["active"]) var interval = DateComponents() interval.day = 1 let query = HKStatisticsCollectionQuery(quantityType: type, quantitySamplePredicate: predicate, options: [.discreteAverage], anchorDate: startDate, intervalComponents:interval) query

Get frequency with highest amplitude from FFT

由 给你一囗甜甜゛ 提交于 2019-11-27 16:23:41
I have raw accelerometer data in form of x,y,z axes which is smoothened and I applied a band pass filter. Now I want to convert it to frequency domain signal and using the scipy.fftpack.fft to apply FFT. sampling_frequency = 32 def fft(acc_data): N = len(acc_data) fft_data = sp.fftpack.fft(acc_data) freqs = sp.fftpack.fftfreq(N) plt.bar(freqs, np.abs(fft_data)) plt.xlabel('Frequency in Hertz [Hz]') plt.ylabel('Magnitude') plt.title('FFT') plt.show() This figure has no points plotted and is empty. The return value of fft is a complex array. I'm using fftfreq to get the frequency of highest

Get frequency with highest amplitude from FFT

由 寵の児 提交于 2019-11-26 18:38:01
问题 I have raw accelerometer data in form of x,y,z axes which is smoothened and I applied a band pass filter. Now I want to convert it to frequency domain signal and using the scipy.fftpack.fft to apply FFT. sampling_frequency = 32 def fft(acc_data): N = len(acc_data) fft_data = sp.fftpack.fft(acc_data) freqs = sp.fftpack.fftfreq(N) plt.bar(freqs, np.abs(fft_data)) plt.xlabel('Frequency in Hertz [Hz]') plt.ylabel('Magnitude') plt.title('FFT') plt.show() This figure has no points plotted and is
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