#stelo — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #stelo, aggregated by home.social.
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rambling about CGM
So, something that annoys me about the over the counter continuous glucose meter I use: it doesn’t adjust its statistics based on the delta between sensors.
To be fair, a new sensor is dealing with a bit of an immune reaction, so its data can take a day to fall into normal ranges and patterns.
But the app does allow for a “grace period” of up to 24 hours after the end of a sensor’s 2-week lifespan before it starts ignoring readings, and that seems like an ideal time to start a new sensor and look to see how far off they are.
Maybe it’s not medically sound to do so? All I really know is that all meters (continuous and not) can vary from “true” by +/- 15%, and the only real strategy to correct for it is to measure repeatedly. The prescription versions do just this – you can add finger-stick readings to the data, and it adjusts its own based on the comparison.
I kind of wish I had a way to get the raw data from the sensor, as well as the post-session readings. I know that if the sensor loses connection to the app, or gets rebooted (magnet switch) after being told to end its session, it will intermittently look for its phone via bluetooth, (which is surprisingly sad, to have to continually respond to pairing requests from a bit of electronics that’s slowly running out of power.) I just don’t know what to do with that info, to make some use of it.
And of course, I’d love for some functionality to be rolled into the official Dexcom app – they could essentially make these more accurate without having to change anything about the hardware itself. But it just seems like the sort of thing that, if this was open source or even partially open source, you’d long since have had internet people submitting pull requests with code to add this, because they want it too.
#cgm #dexcom #stelo -
rambling about CGM
So, something that annoys me about the over the counter continuous glucose meter I use: it doesn’t adjust its statistics based on the delta between sensors.
To be fair, a new sensor is dealing with a bit of an immune reaction, so its data can take a day to fall into normal ranges and patterns.
But the app does allow for a “grace period” of up to 24 hours after the end of a sensor’s 2-week lifespan before it starts ignoring readings, and that seems like an ideal time to start a new sensor and look to see how far off they are.
Maybe it’s not medically sound to do so? All I really know is that all meters (continuous and not) can vary from “true” by +/- 15%, and the only real strategy to correct for it is to measure repeatedly. The prescription versions do just this – you can add finger-stick readings to the data, and it adjusts its own based on the comparison.
I kind of wish I had a way to get the raw data from the sensor, as well as the post-session readings. I know that if the sensor loses connection to the app, or gets rebooted (magnet switch) after being told to end its session, it will intermittently look for its phone via bluetooth, (which is surprisingly sad, to have to continually respond to pairing requests from a bit of electronics that’s slowly running out of power.) I just don’t know what to do with that info, to make some use of it.
And of course, I’d love for some functionality to be rolled into the official Dexcom app – they could essentially make these more accurate without having to change anything about the hardware itself. But it just seems like the sort of thing that, if this was open source or even partially open source, you’d long since have had internet people submitting pull requests with code to add this, because they want it too.
#cgm #dexcom #stelo -
CW: rambling about CGM
rambling about CGM
So, something that annoys me about the over the counter continuous glucose meter I use: it doesn’t adjust its statistics based on the delta between sensors.
To be fair, a new sensor is dealing with a bit of an immune reaction, so its data can take a day to fall into normal ranges and patterns.
But the app does allow for a “grace period” of up to 24 hours after the end of a sensor’s 2-week lifespan before it starts ignoring readings, and that seems like an ideal time to start a new sensor and look to see how far off they are.
Maybe it’s not medically sound to do so? All I really know is that all meters (continuous and not) can vary from “true” by +/- 15%, and the only real strategy to correct for it is to measure repeatedly. The prescription versions do just this – you can add finger-stick readings to the data, and it adjusts its own based on the comparison.
I kind of wish I had a way to get the raw data from the sensor, as well as the post-session readings. I know that if the sensor loses connection to the app, or gets rebooted (magnet switch) after being told to end its session, it will intermittently look for its phone via bluetooth, (which is surprisingly sad, to have to continually respond to pairing requests from a bit of electronics that’s slowly running out of power.) I just don’t know what to do with that info, to make some use of it.
And of course, I’d love for some functionality to be rolled into the official Dexcom app – they could essentially make these more accurate without having to change anything about the hardware itself. But it just seems like the sort of thing that, if this was open source or even partially open source, you’d long since have had internet people submitting pull requests with code to add this, because they want it too.
#cgm #dexcom #stelo -
rambling about CGM
So, something that annoys me about the over the counter continuous glucose meter I use: it doesn’t adjust its statistics based on the delta between sensors.
To be fair, a new sensor is dealing with a bit of an immune reaction, so its data can take a day to fall into normal ranges and patterns.
But the app does allow for a “grace period” of up to 24 hours after the end of a sensor’s 2-week lifespan before it starts ignoring readings, and that seems like an ideal time to start a new sensor and look to see how far off they are.
Maybe it’s not medically sound to do so? All I really know is that all meters (continuous and not) can vary from “true” by +/- 15%, and the only real strategy to correct for it is to measure repeatedly. The prescription versions do just this – you can add finger-stick readings to the data, and it adjusts its own based on the comparison.
I kind of wish I had a way to get the raw data from the sensor, as well as the post-session readings. I know that if the sensor loses connection to the app, or gets rebooted (magnet switch) after being told to end its session, it will intermittently look for its phone via bluetooth, (which is surprisingly sad, to have to continually respond to pairing requests from a bit of electronics that’s slowly running out of power.) I just don’t know what to do with that info, to make some use of it.
And of course, I’d love for some functionality to be rolled into the official Dexcom app – they could essentially make these more accurate without having to change anything about the hardware itself. But it just seems like the sort of thing that, if this was open source or even partially open source, you’d long since have had internet people submitting pull requests with code to add this, because they want it too.
#cgm #dexcom #stelo -
Searching Medela softshells to see if they'd help my #Dexcom #Stelo #CGM glucose meter not get false measurements if I accidentally lay on my arm. Same principle. Distribute the pressure to the skin around the sticky outy bit. Looking it all up in private browsing windows because otherwise Target and Walmart are gonna think I had a baby. :P
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Searching Medela softshells to see if they'd help my #Dexcom #Stelo #CGM glucose meter not get false measurements if I accidentally lay on my arm. Same principle. Distribute the pressure to the skin around the sticky outy bit. Looking it all up in private browsing windows because otherwise Target and Walmart are gonna think I had a baby. :P
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Searching Medela softshells to see if they'd help my #Dexcom #Stelo #CGM glucose meter not get false measurements if I accidentally lay on my arm. Same principle. Distribute the pressure to the skin around the sticky outy bit. Looking it all up in private browsing windows because otherwise Target and Walmart are gonna think I had a baby. :P
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Searching Medela softshells to see if they'd help my #Dexcom #Stelo #CGM glucose meter not get false measurements if I accidentally lay on my arm. Same principle. Distribute the pressure to the skin around the sticky outy bit. Looking it all up in private browsing windows because otherwise Target and Walmart are gonna think I had a baby. :P
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I wonder if the variability of the #Dexcom #stelo sensor lifespan has to do with one's phone's proximity and power settings, and how quickly the sensor is paired after application.
The sensors are BTLE - they wake up and attempt to transmit data every 5 minutes. If the phone isn't nearby or paying attention, I wonder if it searches for longer?
Also, as soon as it's applied it connects to power, so I imagine it's in a fully online pairing mode until it connects to the app, that probably burns battery faster.
No idea if the actual sugar levels it measures might have some impact- if the reagent on the probe wears out the more sugar it reacts with? The "erratic readings followed by loss of connection" described in reviews suggests a low battery state though.
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I wonder if the variability of the #Dexcom #stelo sensor lifespan has to do with one's phone's proximity and power settings, and how quickly the sensor is paired after application.
The sensors are BTLE - they wake up and attempt to transmit data every 5 minutes. If the phone isn't nearby or paying attention, I wonder if it searches for longer?
Also, as soon as it's applied it connects to power, so I imagine it's in a fully online pairing mode until it connects to the app, that probably burns battery faster.
No idea if the actual sugar levels it measures might have some impact- if the reagent on the probe wears out the more sugar it reacts with? The "erratic readings followed by loss of connection" described in reviews suggests a low battery state though.
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I wonder if the variability of the #Dexcom #stelo sensor lifespan has to do with one's phone's proximity and power settings, and how quickly the sensor is paired after application.
The sensors are BTLE - they wake up and attempt to transmit data every 5 minutes. If the phone isn't nearby or paying attention, I wonder if it searches for longer?
Also, as soon as it's applied it connects to power, so I imagine it's in a fully online pairing mode until it connects to the app, that probably burns battery faster.
No idea if the actual sugar levels it measures might have some impact- if the reagent on the probe wears out the more sugar it reacts with? The "erratic readings followed by loss of connection" described in reviews suggests a low battery state though.
-
I wonder if the variability of the #Dexcom #stelo sensor lifespan has to do with one's phone's proximity and power settings, and how quickly the sensor is paired after application.
The sensors are BTLE - they wake up and attempt to transmit data every 5 minutes. If the phone isn't nearby or paying attention, I wonder if it searches for longer?
Also, as soon as it's applied it connects to power, so I imagine it's in a fully online pairing mode until it connects to the app, that probably burns battery faster.
No idea if the actual sugar levels it measures might have some impact- if the reagent on the probe wears out the more sugar it reacts with? The "erratic readings followed by loss of connection" described in reviews suggests a low battery state though.
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Quick review of 2 non-prescription CGMs (continuous glucose monitors). For the past few months I've been wearing either the Abbott Lingo or the Dexcomm Stelo #CGM.
Priced similarly, both are for "non-clinical" use, but Lingo's more of a lifestyle device and Stelo's better for mild #diabetes. Both use algorithms to smooth what has to be very noisy readings, but to different degrees.
The Lingo's approach is more sensitive. It's much more likely to reveal unexpected spikes or drops. It's also erratic. You get live readings that are sometimes way off. It tells you whatever it thinks it sees.
The Stelo is more conservative. It has an opinion and only reports numbers after 15 minutes after it's crunched the data. Results are much closer to my glucometer, but misses sharp changes as it smooths out unexpected results (I exercise hard).
The #Stelo also shares data with Apple Health & other apps for further tracking. The Lingo was interesting, but the Stelo meets my everyday (mild) diabetic control needs more.
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Quick review of 2 non-prescription CGMs (continuous glucose monitors). For the past few months I've been wearing either the Abbott Lingo or the Dexcomm Stelo #CGM.
Priced similarly, both are for "non-clinical" use, but Lingo's more of a lifestyle device and Stelo's better for mild #diabetes. Both use algorithms to smooth what has to be very noisy readings, but to different degrees.
The Lingo's approach is more sensitive. It's much more likely to reveal unexpected spikes or drops. It's also erratic. You get live readings that are sometimes way off. It tells you whatever it thinks it sees.
The Stelo is more conservative. It has an opinion and only reports numbers after 15 minutes after it's crunched the data. Results are much closer to my glucometer, but misses sharp changes as it smooths out unexpected results (I exercise hard).
The #Stelo also shares data with Apple Health & other apps for further tracking. The Lingo was interesting, but the Stelo meets my everyday (mild) diabetic control needs more.
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Quick review of 2 non-prescription CGMs (continuous glucose monitors). For the past few months I've been wearing either the Abbott Lingo or the Dexcomm Stelo #CGM.
Priced similarly, both are for "non-clinical" use, but Lingo's more of a lifestyle device and Stelo's better for mild #diabetes. Both use algorithms to smooth what has to be very noisy readings, but to different degrees.
The Lingo's approach is more sensitive. It's much more likely to reveal unexpected spikes or drops. It's also erratic. You get live readings that are sometimes way off. It tells you whatever it thinks it sees.
The Stelo is more conservative. It has an opinion and only reports numbers after 15 minutes after it's crunched the data. Results are much closer to my glucometer, but misses sharp changes as it smooths out unexpected results (I exercise hard).
The #Stelo also shares data with Apple Health & other apps for further tracking. The Lingo was interesting, but the Stelo meets my everyday (mild) diabetic control needs more.
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Quick review of 2 non-prescription CGMs (continuous glucose monitors). For the past few months I've been wearing either the Abbott Lingo or the Dexcomm Stelo #CGM.
Priced similarly, both are for "non-clinical" use, but Lingo's more of a lifestyle device and Stelo's better for mild #diabetes. Both use algorithms to smooth what has to be very noisy readings, but to different degrees.
The Lingo's approach is more sensitive. It's much more likely to reveal unexpected spikes or drops. It's also erratic. You get live readings that are sometimes way off. It tells you whatever it thinks it sees.
The Stelo is more conservative. It has an opinion and only reports numbers after 15 minutes after it's crunched the data. Results are much closer to my glucometer, but misses sharp changes as it smooths out unexpected results (I exercise hard).
The #Stelo also shares data with Apple Health & other apps for further tracking. The Lingo was interesting, but the Stelo meets my everyday (mild) diabetic control needs more.
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Quick review of 2 non-prescription CGMs (continuous glucose monitors). For the past few months I've been wearing either the Abbott Lingo or the Dexcomm Stelo #CGM.
Priced similarly, both are for "non-clinical" use, but Lingo's more of a lifestyle device and Stelo's better for mild #diabetes. Both use algorithms to smooth what has to be very noisy readings, but to different degrees.
The Lingo's approach is more sensitive. It's much more likely to reveal unexpected spikes or drops. It's also erratic. You get live readings that are sometimes way off. It tells you whatever it thinks it sees.
The Stelo is more conservative. It has an opinion and only reports numbers after 15 minutes after it's crunched the data. Results are much closer to my glucometer, but misses sharp changes as it smooths out unexpected results (I exercise hard).
The #Stelo also shares data with Apple Health & other apps for further tracking. The Lingo was interesting, but the Stelo meets my everyday (mild) diabetic control needs more.
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Occhi della Madonna (Veronica persica) Secondo la leggenda, la Vergine Maria cercava disperatamente una fonte d’acqua per dissetare il piccolo Gesù. Non trovandone, raccolse una goccia di rugiada posata su un #fiore bianco e lo porse al bambino. Miracolosamente, il #fiore si riattaccò al suo #stelo, e i #petali cambiarono colore, diventando azzurri come gli occhi della Madonna. Questo #fiore minuscolo, che spesso passa inosservato, è..Continua a leggere: https://www.galassianatura.it/pixeldinatura/2025/03/13/leggende-di-primavera/
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tittar på noterade bolag som gör diabetesgrejer
DexCom har en sensor man kan köpa utan recept, tyvärr endast i USA :( https://www.stelo.com/köper regelbundet produkter från de tre förstnämnda, har ingen pump just nu
BBNX är nyligen noterat ser jag
Vilka har jag missatinsulin:
Novo Nordisk $NOVO
Sanofi $SANpsensorer:
DexCom $DXCMpumpar:
Tandem Diabetes Care $TNDM
Beta Bionics $BBNX -
tittar på noterade bolag som gör diabetesgrejer
DexCom har en sensor man kan köpa utan recept, tyvärr endast i USA :( https://www.stelo.com/köper regelbundet produkter från de tre förstnämnda, har ingen pump just nu
BBNX är nyligen noterat ser jag
Vilka har jag missatinsulin:
Novo Nordisk $NOVO
Sanofi $SANpsensorer:
DexCom $DXCMpumpar:
Tandem Diabetes Care $TNDM
Beta Bionics $BBNX -
tittar på noterade bolag som gör diabetesgrejer
DexCom har en sensor man kan köpa utan recept, tyvärr endast i USA :( https://www.stelo.com/köper regelbundet produkter från de tre förstnämnda, har ingen pump just nu
BBNX är nyligen noterat ser jag
Vilka har jag missatinsulin:
Novo Nordisk $NOVO
Sanofi $SANpsensorer:
DexCom $DXCMpumpar:
Tandem Diabetes Care $TNDM
Beta Bionics $BBNX -
tittar på noterade bolag som gör diabetesgrejer
DexCom har en sensor man kan köpa utan recept, tyvärr endast i USA :( https://www.stelo.com/köper regelbundet produkter från de tre förstnämnda, har ingen pump just nu
BBNX är nyligen noterat ser jag
Vilka har jag missatinsulin:
Novo Nordisk $NOVO
Sanofi $SANpsensorer:
DexCom $DXCMpumpar:
Tandem Diabetes Care $TNDM
Beta Bionics $BBNX -
tittar på noterade bolag som gör diabetesgrejer
DexCom har en sensor man kan köpa utan recept, tyvärr endast i USA :( https://www.stelo.com/köper regelbundet produkter från de tre förstnämnda, har ingen pump just nu
BBNX är nyligen noterat ser jag
Vilka har jag missatinsulin:
Novo Nordisk $NOVO
Sanofi $SANpsensorer:
DexCom $DXCMpumpar:
Tandem Diabetes Care $TNDM
Beta Bionics $BBNX -
I’ve been using this via #dexcom #stelo and using FitnessSyncer.com IOS App’s integration with #AppleHealth to monitor this. Lots of great ways to analyze this data! @fitnesssyncer.bsky.social @FitnessSyncer
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Interesting observation running both a Dexcom Stelo and Libre 3 Plus through Nightscout: The random spikes and return to normal from Libre 3 are purely a Libre 3 thing and not something weird with my body. The Stelo never registers the spikes.
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Interesting observation running both a Dexcom Stelo and Libre 3 Plus through Nightscout: The random spikes and return to normal from Libre 3 are purely a Libre 3 thing and not something weird with my body. The Stelo never registers the spikes.
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Interesting observation running both a Dexcom Stelo and Libre 3 Plus through Nightscout: The random spikes and return to normal from Libre 3 are purely a Libre 3 thing and not something weird with my body. The Stelo never registers the spikes.
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Interesting observation running both a Dexcom Stelo and Libre 3 Plus through Nightscout: The random spikes and return to normal from Libre 3 are purely a Libre 3 thing and not something weird with my body. The Stelo never registers the spikes.
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Interesting observation running both a Dexcom Stelo and Libre 3 Plus through Nightscout: The random spikes and return to normal from Libre 3 are purely a Libre 3 thing and not something weird with my body. The Stelo never registers the spikes.
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We have data!
Stelo collects 5 minute data points every 15 minutes from the sensor. It appears Shuggah stays with 5 minute collection, like the G7.
The next question: Does Shuggah get values outside of the tight window that Stelo supports? I think the highest it will show is 200mg/dl. We shall see!
#Diabetes #Dexcom #Stelo #Shuggah #xdrip4ios #OpenSource #Experiment
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We have data!
Stelo collects 5 minute data points every 15 minutes from the sensor. It appears Shuggah stays with 5 minute collection, like the G7.
The next question: Does Shuggah get values outside of the tight window that Stelo supports? I think the highest it will show is 200mg/dl. We shall see!
#Diabetes #Dexcom #Stelo #Shuggah #xdrip4ios #OpenSource #Experiment
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We have data!
Stelo collects 5 minute data points every 15 minutes from the sensor. It appears Shuggah stays with 5 minute collection, like the G7.
The next question: Does Shuggah get values outside of the tight window that Stelo supports? I think the highest it will show is 200mg/dl. We shall see!
#Diabetes #Dexcom #Stelo #Shuggah #xdrip4ios #OpenSource #Experiment
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We have data!
Stelo collects 5 minute data points every 15 minutes from the sensor. It appears Shuggah stays with 5 minute collection, like the G7.
The next question: Does Shuggah get values outside of the tight window that Stelo supports? I think the highest it will show is 200mg/dl. We shall see!
#Diabetes #Dexcom #Stelo #Shuggah #xdrip4ios #OpenSource #Experiment
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We have data!
Stelo collects 5 minute data points every 15 minutes from the sensor. It appears Shuggah stays with 5 minute collection, like the G7.
The next question: Does Shuggah get values outside of the tight window that Stelo supports? I think the highest it will show is 200mg/dl. We shall see!
#Diabetes #Dexcom #Stelo #Shuggah #xdrip4ios #OpenSource #Experiment
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I'm playing with plugging a Dexcom Stelo into Shuggah again. Since there's no documentation on this support that was added to xdrip4ios/shuggah, I decided to dig into the code to figure out how to make it work.
Shuggah can now see the sensor. But it's stuck in "scanning" and doesn't get data.
I think this might actually be a Stelo limitation.
#Diabetes #Dexcom #Stelo #Shuggah #xdrip4ios #OpenSource #Experiment
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I'm playing with plugging a Dexcom Stelo into Shuggah again. Since there's no documentation on this support that was added to xdrip4ios/shuggah, I decided to dig into the code to figure out how to make it work.
Shuggah can now see the sensor. But it's stuck in "scanning" and doesn't get data.
I think this might actually be a Stelo limitation.
#Diabetes #Dexcom #Stelo #Shuggah #xdrip4ios #OpenSource #Experiment
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I'm playing with plugging a Dexcom Stelo into Shuggah again. Since there's no documentation on this support that was added to xdrip4ios/shuggah, I decided to dig into the code to figure out how to make it work.
Shuggah can now see the sensor. But it's stuck in "scanning" and doesn't get data.
I think this might actually be a Stelo limitation.
#Diabetes #Dexcom #Stelo #Shuggah #xdrip4ios #OpenSource #Experiment
