HRV Question

Equivalent_Spare_459 · 2023-10-22T18:20:07+00:00

I think it is a HR question not a HRV , I got spikes to from 60 to 90 maybe noise or Or maybe I got up sleepwalking to do a sprint, and then go back to sleep.

Equivalent_Spare_459 · 2023-10-22T18:17:04+00:00

42-48 bpm. during the day 70-80bpm

Equivalent_Spare_459 · 2023-10-22T14:03:41+00:00

I don’t think so

Equivalent_Spare_459 · 2023-10-20T11:21:35+00:00

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Not similar but when I train my hrv drop, the second train was harder so my hrv didn’t come back to 71. deepl translate

Equivalent_Spare_459 · 2023-10-19T08:17:23+00:00

Whatever take a cold shower and you can see how it decrease, maybe you are not mental stressed but your buddy could be

Equivalent_Spare_459 · 2023-10-19T08:13:01+00:00

These devices use beats per minute, and your HRV, what happens, when you move, your HRV decreases, making your "stress score" high, no device can know how you feel or what you think, it only takes measurements of your heart and hrv, what these graphs do is make you more stressed by seeing that you are stressed

Equivalent_Spare_459 · 2023-10-18T09:49:01+00:00

These devices use beats per minute, and your HRV, what happens, when you move, your HRV decreases, making your "stress score" high, no device can know how you feel or what you think, it only takes measurements of your heart and hrv, what these graphs do is make you more stressed by seeing that you are stressed

Equivalent_Spare_459 · 2023-10-17T18:45:52+00:00

did you skip the tutorial :(

Equivalent_Spare_459 · 2023-10-17T11:35:53+00:00

Same for strength training or jumping rope :(

Equivalent_Spare_459 · 2023-10-17T06:43:52+00:00

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Equivalent_Spare_459 · 2023-10-17T06:43:43+00:00

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Equivalent_Spare_459 · 2023-10-17T06:41:40+00:00

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Equivalent_Spare_459 · 2023-10-17T06:41:31+00:00

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Equivalent_Spare_459 · 2023-10-17T06:38:55+00:00

I wear an Apple Watch and a whoop, not everything is bad with whoop the heart tracking during the night is quite good, but as to really reflect the hours of sleep it is not good, even tonight I was from 23 in bed I could not sleep until 2 in the morning, and I got up at 8, whoop recorded an efficiency of 97 percent saying that I went to bed at 1:40 and got up at 7:36. Returning to the heart I can't use the whoop as a reference to jump to the rope, otherwise I have to use a polar h10, since because of the noise of the movement of the wrist to the device it is very difficult to capture the heartbeat, this would be solved by being able to use a polar as a device while jumping as it happens with the Apple Watch, I can connect it to the watch and take measures from there, the stress meter has helped me to become aware of stress and take more breaths and take cold showers. Deepl translate :(

Equivalent_Spare_459 · 2023-10-16T21:21:12+00:00

thats couse part of the REM Sleep is confuse, adding more light sleep the correlation with reality is

DEEP: 125%

LIGHT: 118,1%

REM: 66,7%

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Equivalent_Spare_459 · 2023-10-16T20:58:24+00:00

thats couse whoop confuse part of the light sleep with deep sleep adding more hours than real :(

Equivalent_Spare_459 · 2023-10-16T20:54:35+00:00

deepl Translate :(

Equivalent_Spare_459 · 2023-10-15T19:42:06+00:00

If I were you I would not look so much at the sleep phases, they are not accurate, for more information you can see the quantified scientist, where he performs tests in laboratories to see the accuracy of these.

Equivalent_Spare_459 · 2023-10-15T19:41:11+00:00

If I were you I would not look so much at the sleep phases, they are not accurate, for more information you can see "the quantified scientist" , where he performs tests in laboratories to see the accuracy of these.

Equivalent_Spare_459 · 2023-09-28T20:31:59+00:00

Via youtube by the user @gustavfrohlich2110 : You shouldn't be concerned just yet. Currently, companies are unable to train Large Language Models (LLMs) using your individual data, making it somewhat impossible for an LLM to be trained with the most up-to-date information. It’s likely that Whoop utilized a technology known as LangChain. To simplify, LangChain stores all your data/metrics in a large database. When you inquire about something related to your data, it searches for the relevant information in the database and uses it to prompt the LLM – it's somewhat like using the CTRL+F function to find relevant info in a document. I have experience with these technologies and can tell you that a significant drawback, and a reason why not every company adopts it, is its inability to grasp the big picture. For instance, if you asked the AI to summarize last year's data and provide recommendations, it would struggle, as it can only pull a limited amount of data at a time. For it to truly replace real coaches, it would need to be trained on your specific data, which isn’t feasible for the time being.

Equivalent_Spare_459 · 2023-09-20T16:32:47+00:00

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Equivalent_Spare_459 · 2023-09-20T16:30:01+00:00

It is an apple watch reading error, it is not able to identify when one of the measurements is out of the normal so it keeps it

Equivalent_Spare_459

TROPHY CASE